Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:( Image Retrieval in Pervasive Environment). Showing records 1 – 30 of 120217 total matches.

[1] [2] [3] [4] [5] … [4008]

Search Limiters

Last 2 Years | English Only

Degrees

Languages

Country

▼ Search Limiters


Addis Ababa University

1. Estifanos, Gashaw. Shape Sensitive Salient-object based Image Query .

Degree: 2008, Addis Ababa University

 The availability of images in electronic format has resulted in large number of digital images being used for different applications. The growth in the usage… (more)

Subjects/Keywords: Salient-Object Based Image Retrieval; Image Database; Image Retrieval in Pervasive Environment; Image Segmentation; Multi-Criteria Image Query

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Estifanos, G. (2008). Shape Sensitive Salient-object based Image Query . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/2702

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Estifanos, Gashaw. “Shape Sensitive Salient-object based Image Query .” 2008. Thesis, Addis Ababa University. Accessed November 12, 2019. http://etd.aau.edu.et/dspace/handle/123456789/2702.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Estifanos, Gashaw. “Shape Sensitive Salient-object based Image Query .” 2008. Web. 12 Nov 2019.

Vancouver:

Estifanos G. Shape Sensitive Salient-object based Image Query . [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2019 Nov 12]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2702.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Estifanos G. Shape Sensitive Salient-object based Image Query . [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2702

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Al-Azawi, Mohammad Ali Naji Said. A new approach to automatic saliency identification in images based on irregularity of regions.

Degree: PhD, 2015, De Montfort University

 This research introduces an image retrieval system which is, in different ways, inspired by the human vision system. The main problems with existing machine vision… (more)

Subjects/Keywords: 006.3; Image processing; Image Recognition; Image retrieval; Image saliency identification; human attention application in image retrieval; fuzzy thresholding; computational intelligence application in image

Page 1 Page 2 Page 3

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Al-Azawi, M. A. N. S. (2015). A new approach to automatic saliency identification in images based on irregularity of regions. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/11122

Chicago Manual of Style (16th Edition):

Al-Azawi, Mohammad Ali Naji Said. “A new approach to automatic saliency identification in images based on irregularity of regions.” 2015. Doctoral Dissertation, De Montfort University. Accessed November 12, 2019. http://hdl.handle.net/2086/11122.

MLA Handbook (7th Edition):

Al-Azawi, Mohammad Ali Naji Said. “A new approach to automatic saliency identification in images based on irregularity of regions.” 2015. Web. 12 Nov 2019.

Vancouver:

Al-Azawi MANS. A new approach to automatic saliency identification in images based on irregularity of regions. [Internet] [Doctoral dissertation]. De Montfort University; 2015. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/2086/11122.

Council of Science Editors:

Al-Azawi MANS. A new approach to automatic saliency identification in images based on irregularity of regions. [Doctoral Dissertation]. De Montfort University; 2015. Available from: http://hdl.handle.net/2086/11122


University of Missouri – Columbia

3. Wang, Xin. Empirical study of image describing and searching behaviors of medical image users.

Degree: 2012, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Researchers in the field of image indexing and retrieval face a crucial question  – how… (more)

Subjects/Keywords: Image indexing and retrieval; Medical image users; Informational Retrieval (IR) systems; Searching behavior; Electronic information resource searching; Imaging systems in medicine

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, X. (2012). Empirical study of image describing and searching behaviors of medical image users. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/43185

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Xin. “Empirical study of image describing and searching behaviors of medical image users.” 2012. Thesis, University of Missouri – Columbia. Accessed November 12, 2019. http://hdl.handle.net/10355/43185.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Xin. “Empirical study of image describing and searching behaviors of medical image users.” 2012. Web. 12 Nov 2019.

Vancouver:

Wang X. Empirical study of image describing and searching behaviors of medical image users. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/10355/43185.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. Empirical study of image describing and searching behaviors of medical image users. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/43185

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Zululand

4. Olugbara, Oludayo Olufolorunsho. A shape-based approach for image retrieval in healthcare information infrastructure .

Degree: 2008, University of Zululand

 This study investigated some models and techniques that would help build shape-based image retrieval with an improved accuracy. As an initial step, a modular prototype… (more)

Subjects/Keywords: Image retrieval ; Shape-based image retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Olugbara, O. O. (2008). A shape-based approach for image retrieval in healthcare information infrastructure . (Thesis). University of Zululand. Retrieved from http://hdl.handle.net/10530/1121

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Olugbara, Oludayo Olufolorunsho. “A shape-based approach for image retrieval in healthcare information infrastructure .” 2008. Thesis, University of Zululand. Accessed November 12, 2019. http://hdl.handle.net/10530/1121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Olugbara, Oludayo Olufolorunsho. “A shape-based approach for image retrieval in healthcare information infrastructure .” 2008. Web. 12 Nov 2019.

Vancouver:

Olugbara OO. A shape-based approach for image retrieval in healthcare information infrastructure . [Internet] [Thesis]. University of Zululand; 2008. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/10530/1121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Olugbara OO. A shape-based approach for image retrieval in healthcare information infrastructure . [Thesis]. University of Zululand; 2008. Available from: http://hdl.handle.net/10530/1121

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Dublin City University

5. Alizadeh, Fattah. 3D object retrieval and segmentation: various approaches including 2D poisson histograms and 3D electrical charge distributions.

Degree: School of Computing, 2014, Dublin City University

 Nowadays 3D models play an important role in many applications: viz. games, cultural heritage, medical imaging etc. Due to the fast growth in the number… (more)

Subjects/Keywords: Image processing; Information retrieval; 3D Object Retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alizadeh, F. (2014). 3D object retrieval and segmentation: various approaches including 2D poisson histograms and 3D electrical charge distributions. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/20075/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alizadeh, Fattah. “3D object retrieval and segmentation: various approaches including 2D poisson histograms and 3D electrical charge distributions.” 2014. Thesis, Dublin City University. Accessed November 12, 2019. http://doras.dcu.ie/20075/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alizadeh, Fattah. “3D object retrieval and segmentation: various approaches including 2D poisson histograms and 3D electrical charge distributions.” 2014. Web. 12 Nov 2019.

Vancouver:

Alizadeh F. 3D object retrieval and segmentation: various approaches including 2D poisson histograms and 3D electrical charge distributions. [Internet] [Thesis]. Dublin City University; 2014. [cited 2019 Nov 12]. Available from: http://doras.dcu.ie/20075/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alizadeh F. 3D object retrieval and segmentation: various approaches including 2D poisson histograms and 3D electrical charge distributions. [Thesis]. Dublin City University; 2014. Available from: http://doras.dcu.ie/20075/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

6. Zhang, Lelin. Scalable Content-Based Image and Video Retrieval .

Degree: 2016, University of Sydney

 The popularity of the Internet and portable image capturing devices brings in unprecedented amount of images and videos. Content-based visual search provides an important tool… (more)

Subjects/Keywords: image retrieval; video retrieval; multimedia; scalability

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, L. (2016). Scalable Content-Based Image and Video Retrieval . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Lelin. “Scalable Content-Based Image and Video Retrieval .” 2016. Thesis, University of Sydney. Accessed November 12, 2019. http://hdl.handle.net/2123/15439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Lelin. “Scalable Content-Based Image and Video Retrieval .” 2016. Web. 12 Nov 2019.

Vancouver:

Zhang L. Scalable Content-Based Image and Video Retrieval . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/2123/15439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang L. Scalable Content-Based Image and Video Retrieval . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Thapade, Sudeep. Content based image retrieval.

Degree: Computer Sciences, 2013, INFLIBNET

Modern image search engines retrieve the images based on their visual contents, commonly referred to as Content Based Image newlineRetrieval (CBIR) systems. Typical CBIR systems… (more)

Subjects/Keywords: Content base; Image Retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Thapade, S. (2013). Content based image retrieval. (Thesis). INFLIBNET. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thapade, Sudeep. “Content based image retrieval.” 2013. Thesis, INFLIBNET. Accessed November 12, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/9091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thapade, Sudeep. “Content based image retrieval.” 2013. Web. 12 Nov 2019.

Vancouver:

Thapade S. Content based image retrieval. [Internet] [Thesis]. INFLIBNET; 2013. [cited 2019 Nov 12]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thapade S. Content based image retrieval. [Thesis]. INFLIBNET; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Dublin City University

8. Antony, A. Joseph. Automatic quantification of radiographic knee osteoarthritis severity and associated diagnostic features using deep convolutional neural networks.

Degree: School of Electronic Engineering; Dublin City University. INSIGHT Centre for Data Analytics, 2018, Dublin City University

 “Automatic Quantification of Radiographic Knee Osteoarthritis Severity and Associated Diagnostic Features using Deep Convolutional Neural Networks” A. Joseph Antony Due to the increasing prevalence of… (more)

Subjects/Keywords: Image processing; Information retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Antony, A. J. (2018). Automatic quantification of radiographic knee osteoarthritis severity and associated diagnostic features using deep convolutional neural networks. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/22154/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Antony, A Joseph. “Automatic quantification of radiographic knee osteoarthritis severity and associated diagnostic features using deep convolutional neural networks.” 2018. Thesis, Dublin City University. Accessed November 12, 2019. http://doras.dcu.ie/22154/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Antony, A Joseph. “Automatic quantification of radiographic knee osteoarthritis severity and associated diagnostic features using deep convolutional neural networks.” 2018. Web. 12 Nov 2019.

Vancouver:

Antony AJ. Automatic quantification of radiographic knee osteoarthritis severity and associated diagnostic features using deep convolutional neural networks. [Internet] [Thesis]. Dublin City University; 2018. [cited 2019 Nov 12]. Available from: http://doras.dcu.ie/22154/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Antony AJ. Automatic quantification of radiographic knee osteoarthritis severity and associated diagnostic features using deep convolutional neural networks. [Thesis]. Dublin City University; 2018. Available from: http://doras.dcu.ie/22154/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

9. Fang, Qi. Potential Energy Distance based Image Retrieval.

Degree: MS, Statistics, 2014, Penn State University

 Due to the large-scale use of digital cameras and easy access to the Internet, the number of images available on the Internet has exploded over… (more)

Subjects/Keywords: Image Retrieval; Potential Energy Distance

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fang, Q. (2014). Potential Energy Distance based Image Retrieval. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/19018

Chicago Manual of Style (16th Edition):

Fang, Qi. “Potential Energy Distance based Image Retrieval.” 2014. Masters Thesis, Penn State University. Accessed November 12, 2019. https://etda.libraries.psu.edu/catalog/19018.

MLA Handbook (7th Edition):

Fang, Qi. “Potential Energy Distance based Image Retrieval.” 2014. Web. 12 Nov 2019.

Vancouver:

Fang Q. Potential Energy Distance based Image Retrieval. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Nov 12]. Available from: https://etda.libraries.psu.edu/catalog/19018.

Council of Science Editors:

Fang Q. Potential Energy Distance based Image Retrieval. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/19018


Montana State University

10. Banda, Juan. Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis.

Degree: College of Engineering, 2011, Montana State University

 With the launch of NASA's Solar Dynamics Observatory mission, a whole new age of high-quality solar image analysis was started. With the generation of over… (more)

Subjects/Keywords: Content-based image retrieval.; Helioseismology.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Banda, J. (2011). Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Banda, Juan. “Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis.” 2011. Thesis, Montana State University. Accessed November 12, 2019. https://scholarworks.montana.edu/xmlui/handle/1/865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Banda, Juan. “Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis.” 2011. Web. 12 Nov 2019.

Vancouver:

Banda J. Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis. [Internet] [Thesis]. Montana State University; 2011. [cited 2019 Nov 12]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Banda J. Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis. [Thesis]. Montana State University; 2011. Available from: https://scholarworks.montana.edu/xmlui/handle/1/865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

11. Oyarce, Sara. In Pursuit of Image: How We Think About Photographs We Seek.

Degree: 2012, University of North Texas

 The user perspective of image search remains poorly understood. the purpose of this study is to identify and investigate the key issues relevant to a… (more)

Subjects/Keywords: Photographs; image retrieval; representation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oyarce, S. (2012). In Pursuit of Image: How We Think About Photographs We Seek. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc115133/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Oyarce, Sara. “In Pursuit of Image: How We Think About Photographs We Seek.” 2012. Thesis, University of North Texas. Accessed November 12, 2019. https://digital.library.unt.edu/ark:/67531/metadc115133/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Oyarce, Sara. “In Pursuit of Image: How We Think About Photographs We Seek.” 2012. Web. 12 Nov 2019.

Vancouver:

Oyarce S. In Pursuit of Image: How We Think About Photographs We Seek. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Nov 12]. Available from: https://digital.library.unt.edu/ark:/67531/metadc115133/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Oyarce S. In Pursuit of Image: How We Think About Photographs We Seek. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc115133/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

12. Yang, L. Advanced Retrieval Models for Web Image Search.

Degree: 2013, Delft University of Technology

Subjects/Keywords: image retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, L. (2013). Advanced Retrieval Models for Web Image Search. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334

Chicago Manual of Style (16th Edition):

Yang, L. “Advanced Retrieval Models for Web Image Search.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed November 12, 2019. http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334.

MLA Handbook (7th Edition):

Yang, L. “Advanced Retrieval Models for Web Image Search.” 2013. Web. 12 Nov 2019.

Vancouver:

Yang L. Advanced Retrieval Models for Web Image Search. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2019 Nov 12]. Available from: http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334.

Council of Science Editors:

Yang L. Advanced Retrieval Models for Web Image Search. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; urn:NBN:nl:ui:24-uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334 ; http://resolver.tudelft.nl/uuid:4590b1fc-6f44-4297-9e0f-04bac4c29334


Anna University

13. Baulkani S. Some studies on multifeature Analysis and enhancement for Content based image retrieval;.

Degree: Some studies on multifeature Analysis and enhancement for Content based image retrieval, 2015, Anna University

In computer vision and image processing research the aim is to derive newlinebetter tools that give us different perspectives on the same image allowing us… (more)

Subjects/Keywords: Content Based Image Retrieval; Image processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

S, B. (2015). Some studies on multifeature Analysis and enhancement for Content based image retrieval;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/44194

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

S, Baulkani. “Some studies on multifeature Analysis and enhancement for Content based image retrieval;.” 2015. Thesis, Anna University. Accessed November 12, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/44194.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

S, Baulkani. “Some studies on multifeature Analysis and enhancement for Content based image retrieval;.” 2015. Web. 12 Nov 2019.

Vancouver:

S B. Some studies on multifeature Analysis and enhancement for Content based image retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Nov 12]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/44194.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S B. Some studies on multifeature Analysis and enhancement for Content based image retrieval;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/44194

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brandeis University

14. Bosque Gil, Julia. A Model for the Semantic Annotation of Images.

Degree: 2014, Brandeis University

 The idea behind the task of semantic annotation of images rests on the ability to retrieve an image using a query by concept, and not… (more)

Subjects/Keywords: image retrieval; image annotation; semantic annotation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bosque Gil, J. (2014). A Model for the Semantic Annotation of Images. (Thesis). Brandeis University. Retrieved from http://hdl.handle.net/10192/28592

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bosque Gil, Julia. “A Model for the Semantic Annotation of Images.” 2014. Thesis, Brandeis University. Accessed November 12, 2019. http://hdl.handle.net/10192/28592.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bosque Gil, Julia. “A Model for the Semantic Annotation of Images.” 2014. Web. 12 Nov 2019.

Vancouver:

Bosque Gil J. A Model for the Semantic Annotation of Images. [Internet] [Thesis]. Brandeis University; 2014. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/10192/28592.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bosque Gil J. A Model for the Semantic Annotation of Images. [Thesis]. Brandeis University; 2014. Available from: http://hdl.handle.net/10192/28592

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Ranasinghe Arachchilage, Ishan P, Mr. Building an Efficient Content Based Image Retrieval System by Changing the Database Structure.

Degree: Computer Science: M.S., Computer Science and Information Technology, 2016, St. Cloud State University

  Content Based Image Retrieval (CBIR) is still a major research area due to its complexity and the growth of the image databases. Color Based… (more)

Subjects/Keywords: Content Based Image Retrieval; CBIR; Image Comparison; Color Histogram; Image Retrieval; Image Processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ranasinghe Arachchilage, Ishan P, M. (2016). Building an Efficient Content Based Image Retrieval System by Changing the Database Structure. (Masters Thesis). St. Cloud State University. Retrieved from https://repository.stcloudstate.edu/csit_etds/15

Chicago Manual of Style (16th Edition):

Ranasinghe Arachchilage, Ishan P, Mr. “Building an Efficient Content Based Image Retrieval System by Changing the Database Structure.” 2016. Masters Thesis, St. Cloud State University. Accessed November 12, 2019. https://repository.stcloudstate.edu/csit_etds/15.

MLA Handbook (7th Edition):

Ranasinghe Arachchilage, Ishan P, Mr. “Building an Efficient Content Based Image Retrieval System by Changing the Database Structure.” 2016. Web. 12 Nov 2019.

Vancouver:

Ranasinghe Arachchilage, Ishan P M. Building an Efficient Content Based Image Retrieval System by Changing the Database Structure. [Internet] [Masters thesis]. St. Cloud State University; 2016. [cited 2019 Nov 12]. Available from: https://repository.stcloudstate.edu/csit_etds/15.

Council of Science Editors:

Ranasinghe Arachchilage, Ishan P M. Building an Efficient Content Based Image Retrieval System by Changing the Database Structure. [Masters Thesis]. St. Cloud State University; 2016. Available from: https://repository.stcloudstate.edu/csit_etds/15

16. Salaja S. Novel service selection frameworks for pervasive environment and its analysis in health care and social network services;.

Degree: Computer Sciences, 2008, Karunya University

Pervasive computing enables the user to connect to the network and receive any service anywhere any time. There is uncertainty in pervasive environment in terms… (more)

Subjects/Keywords: Computer Sciences; Social network services; Health care; Pervasive environment

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

S, S. (2008). Novel service selection frameworks for pervasive environment and its analysis in health care and social network services;. (Thesis). Karunya University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/10108

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

S, Salaja. “Novel service selection frameworks for pervasive environment and its analysis in health care and social network services;.” 2008. Thesis, Karunya University. Accessed November 12, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/10108.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

S, Salaja. “Novel service selection frameworks for pervasive environment and its analysis in health care and social network services;.” 2008. Web. 12 Nov 2019.

Vancouver:

S S. Novel service selection frameworks for pervasive environment and its analysis in health care and social network services;. [Internet] [Thesis]. Karunya University; 2008. [cited 2019 Nov 12]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10108.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S S. Novel service selection frameworks for pervasive environment and its analysis in health care and social network services;. [Thesis]. Karunya University; 2008. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10108

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Limerick

17. Lennon, Martin. Negotiations of image and architecture.

Degree: Architecture, University of Limerick, 2015, University of Limerick

non-peer-reviewed

Preamble: How do I work? It seemed that as I endeavoured towards a “final project” in this culminating year of formal education I should… (more)

Subjects/Keywords: architecture; image; environment

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lennon, M. (2015). Negotiations of image and architecture. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/4735

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lennon, Martin. “Negotiations of image and architecture.” 2015. Thesis, University of Limerick. Accessed November 12, 2019. http://hdl.handle.net/10344/4735.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lennon, Martin. “Negotiations of image and architecture.” 2015. Web. 12 Nov 2019.

Vancouver:

Lennon M. Negotiations of image and architecture. [Internet] [Thesis]. University of Limerick; 2015. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/10344/4735.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lennon M. Negotiations of image and architecture. [Thesis]. University of Limerick; 2015. Available from: http://hdl.handle.net/10344/4735

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

18. Mythili C. Efficient technique for color image segmentation towards the enhancement of image retrieval;.

Degree: Efficient technique for color image segmentation towards the enhancement of image retrieval, 2015, Anna University

Content Based Image Retrieval CBIR system performs search and retrieval operations in image database that has been developed in recent years CBIR has a very… (more)

Subjects/Keywords:

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

C, M. (2015). Efficient technique for color image segmentation towards the enhancement of image retrieval;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/49413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

C, Mythili. “Efficient technique for color image segmentation towards the enhancement of image retrieval;.” 2015. Thesis, Anna University. Accessed November 12, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/49413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

C, Mythili. “Efficient technique for color image segmentation towards the enhancement of image retrieval;.” 2015. Web. 12 Nov 2019.

Vancouver:

C M. Efficient technique for color image segmentation towards the enhancement of image retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Nov 12]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

C M. Efficient technique for color image segmentation towards the enhancement of image retrieval;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

19. Ozendi, Mustafa. Viewpoint Independent Image Classification and Retrieval.

Degree: MS, Geodetic Science and Surveying, 2010, The Ohio State University

Image retrieval has applications in different disciplines. For example, there are applications in digital painting catalogues and in security related applications Researchers from both computer… (more)

Subjects/Keywords: Computer Science; image retrieval; image classification; projective invariant; viewpoint independent retrieval; viewpoint independent image classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ozendi, M. (2010). Viewpoint Independent Image Classification and Retrieval. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830

Chicago Manual of Style (16th Edition):

Ozendi, Mustafa. “Viewpoint Independent Image Classification and Retrieval.” 2010. Masters Thesis, The Ohio State University. Accessed November 12, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830.

MLA Handbook (7th Edition):

Ozendi, Mustafa. “Viewpoint Independent Image Classification and Retrieval.” 2010. Web. 12 Nov 2019.

Vancouver:

Ozendi M. Viewpoint Independent Image Classification and Retrieval. [Internet] [Masters thesis]. The Ohio State University; 2010. [cited 2019 Nov 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830.

Council of Science Editors:

Ozendi M. Viewpoint Independent Image Classification and Retrieval. [Masters Thesis]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830


University of Waterloo

20. Quddus, Azhar. Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes.

Degree: 2010, University of Waterloo

 Content Based Image Retrieval (CBIR) is an important research area in the field of multimedia information retrieval. The application of CBIR in the medical domain… (more)

Subjects/Keywords: Image Retrieval; Medical Image Retrieval; Semantic Image Retrieval; Diagnostic Image Retrieval; Multiresolution; Wavelets; Machine Learning; Support Vector Machines; Image Registration; 2D Rigid Registration; SVM; MR inhomogeneity

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Quddus, A. (2010). Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5623

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Quddus, Azhar. “Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes.” 2010. Thesis, University of Waterloo. Accessed November 12, 2019. http://hdl.handle.net/10012/5623.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Quddus, Azhar. “Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes.” 2010. Web. 12 Nov 2019.

Vancouver:

Quddus A. Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/10012/5623.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Quddus A. Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5623

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Pompeu Fabra

21. Olivares Ríos, Ximena. Large scale image retrieval base on user generated content.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2011, Universitat Pompeu Fabra

 Online photo sharing systems provide a valuable source of user generated content (UGC). Most Web image retrieval systems use textual annotations to rank the results,… (more)

Subjects/Keywords: information retrieval; image retrieval; user generated content; large image collection; image object retrieval; rank aggregation; visual models; sample selection; 62

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Olivares Ríos, X. (2011). Large scale image retrieval base on user generated content. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/22718

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Olivares Ríos, Ximena. “Large scale image retrieval base on user generated content.” 2011. Thesis, Universitat Pompeu Fabra. Accessed November 12, 2019. http://hdl.handle.net/10803/22718.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Olivares Ríos, Ximena. “Large scale image retrieval base on user generated content.” 2011. Web. 12 Nov 2019.

Vancouver:

Olivares Ríos X. Large scale image retrieval base on user generated content. [Internet] [Thesis]. Universitat Pompeu Fabra; 2011. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/10803/22718.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Olivares Ríos X. Large scale image retrieval base on user generated content. [Thesis]. Universitat Pompeu Fabra; 2011. Available from: http://hdl.handle.net/10803/22718

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

22. Ramamurthy B. Certain approaches on content based medical image retrieval CBMIR using visual features;.

Degree: Certain approaches on content based medical image retrieval CBMIR using visual features, 2015, Anna University

Diagnostic radiology demands accurate interpretation of complex signals in medical images Content based medical image retrieval CBMIR techniques are valuable to radiologists in assessing medical… (more)

Subjects/Keywords: Content based medical image retrieval; Information retrieval; Yahoo Lycos and Google

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

B, R. (2015). Certain approaches on content based medical image retrieval CBMIR using visual features;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/41999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

B, Ramamurthy. “Certain approaches on content based medical image retrieval CBMIR using visual features;.” 2015. Thesis, Anna University. Accessed November 12, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/41999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

B, Ramamurthy. “Certain approaches on content based medical image retrieval CBMIR using visual features;.” 2015. Web. 12 Nov 2019.

Vancouver:

B R. Certain approaches on content based medical image retrieval CBMIR using visual features;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Nov 12]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/41999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

B R. Certain approaches on content based medical image retrieval CBMIR using visual features;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/41999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

23. Huang, Yen-Ren. Retrieval by spatial similarity based on interval neighbor group.

Degree: Master, Computer Science and Engineering, 2008, NSYSU

 The objective of the present work is to employ a multiple-instance learning image retrieval system by incorporating a spatial similarity measure. Multiple-Instance learning is a… (more)

Subjects/Keywords: Multiple-instance learning; Content-based image retrieval; Retrieval by spatial similarity

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, Y. (2008). Retrieval by spatial similarity based on interval neighbor group. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-122600

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Yen-Ren. “Retrieval by spatial similarity based on interval neighbor group.” 2008. Thesis, NSYSU. Accessed November 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-122600.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Yen-Ren. “Retrieval by spatial similarity based on interval neighbor group.” 2008. Web. 12 Nov 2019.

Vancouver:

Huang Y. Retrieval by spatial similarity based on interval neighbor group. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Nov 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-122600.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang Y. Retrieval by spatial similarity based on interval neighbor group. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-122600

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Montana State University

24. Schuh, Michael Arthur. High-dimensional data indexing with applications.

Degree: College of Engineering, 2015, Montana State University

 The indexing of high-dimensional data remains a challenging task amidst an active and storied area of computer science research that impacts many far-reaching applications. At… (more)

Subjects/Keywords: Indexing.; Nearest neighbor analysis (Statistics).; Information retrieval.; Content-based image retrieval.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Schuh, M. A. (2015). High-dimensional data indexing with applications. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9215

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schuh, Michael Arthur. “High-dimensional data indexing with applications.” 2015. Thesis, Montana State University. Accessed November 12, 2019. https://scholarworks.montana.edu/xmlui/handle/1/9215.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schuh, Michael Arthur. “High-dimensional data indexing with applications.” 2015. Web. 12 Nov 2019.

Vancouver:

Schuh MA. High-dimensional data indexing with applications. [Internet] [Thesis]. Montana State University; 2015. [cited 2019 Nov 12]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9215.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schuh MA. High-dimensional data indexing with applications. [Thesis]. Montana State University; 2015. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9215

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Moran, Sean James. Learning to hash for large scale image retrieval.

Degree: PhD, 2016, University of Edinburgh

 This thesis is concerned with improving the effectiveness of nearest neighbour search. Nearest neighbour search is the problem of finding the most similar data-points to… (more)

Subjects/Keywords: 006.3; Locality Sensitive Hashing; LSH; image retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moran, S. J. (2016). Learning to hash for large scale image retrieval. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20390

Chicago Manual of Style (16th Edition):

Moran, Sean James. “Learning to hash for large scale image retrieval.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed November 12, 2019. http://hdl.handle.net/1842/20390.

MLA Handbook (7th Edition):

Moran, Sean James. “Learning to hash for large scale image retrieval.” 2016. Web. 12 Nov 2019.

Vancouver:

Moran SJ. Learning to hash for large scale image retrieval. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/1842/20390.

Council of Science Editors:

Moran SJ. Learning to hash for large scale image retrieval. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20390


University of Cincinnati

26. Goparaju, Tejaswi. Compact Image Signatures for Efficient Retrieval from Large GIS Raster Collections.

Degree: MS, Engineering and Applied Science: Computer Science, 2015, University of Cincinnati

 The turn of the century brought with itself a significant increase in the volume of image data. We are familiar with large amounts textual data… (more)

Subjects/Keywords: Computer Science; Image retrieval; Compact Signatures

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Goparaju, T. (2015). Compact Image Signatures for Efficient Retrieval from Large GIS Raster Collections. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690962

Chicago Manual of Style (16th Edition):

Goparaju, Tejaswi. “Compact Image Signatures for Efficient Retrieval from Large GIS Raster Collections.” 2015. Masters Thesis, University of Cincinnati. Accessed November 12, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690962.

MLA Handbook (7th Edition):

Goparaju, Tejaswi. “Compact Image Signatures for Efficient Retrieval from Large GIS Raster Collections.” 2015. Web. 12 Nov 2019.

Vancouver:

Goparaju T. Compact Image Signatures for Efficient Retrieval from Large GIS Raster Collections. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2019 Nov 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690962.

Council of Science Editors:

Goparaju T. Compact Image Signatures for Efficient Retrieval from Large GIS Raster Collections. [Masters Thesis]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690962


Penn State University

27. Valluri, Adityagiri. NAVIGATION AND MAPPING THROUGH AUTOMATED IMAGE UNDERSTANDING AND RETRIEVAL.

Degree: MS, Electrical Engineering, 2009, Penn State University

 A novel method for image retrieval of navigational data through automated image understanding is presented, for mapping purposes. The method discussed here involves two steps,… (more)

Subjects/Keywords: image retrieval; mapping; navteq database; SIFT

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Valluri, A. (2009). NAVIGATION AND MAPPING THROUGH AUTOMATED IMAGE UNDERSTANDING AND RETRIEVAL. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9625

Chicago Manual of Style (16th Edition):

Valluri, Adityagiri. “NAVIGATION AND MAPPING THROUGH AUTOMATED IMAGE UNDERSTANDING AND RETRIEVAL.” 2009. Masters Thesis, Penn State University. Accessed November 12, 2019. https://etda.libraries.psu.edu/catalog/9625.

MLA Handbook (7th Edition):

Valluri, Adityagiri. “NAVIGATION AND MAPPING THROUGH AUTOMATED IMAGE UNDERSTANDING AND RETRIEVAL.” 2009. Web. 12 Nov 2019.

Vancouver:

Valluri A. NAVIGATION AND MAPPING THROUGH AUTOMATED IMAGE UNDERSTANDING AND RETRIEVAL. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Nov 12]. Available from: https://etda.libraries.psu.edu/catalog/9625.

Council of Science Editors:

Valluri A. NAVIGATION AND MAPPING THROUGH AUTOMATED IMAGE UNDERSTANDING AND RETRIEVAL. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9625


Georgia State University

28. Kempton, Dustin J. Sparse Coding for Event Tracking and Image Retrieval.

Degree: PhD, Computer Science, 2018, Georgia State University

  Comparing regions of images is a fundamental task in both similarity based object tracking as well as retrieval of images from image datasets, where… (more)

Subjects/Keywords: sparse coding; event tracking; image retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kempton, D. J. (2018). Sparse Coding for Event Tracking and Image Retrieval. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/139

Chicago Manual of Style (16th Edition):

Kempton, Dustin J. “Sparse Coding for Event Tracking and Image Retrieval.” 2018. Doctoral Dissertation, Georgia State University. Accessed November 12, 2019. https://scholarworks.gsu.edu/cs_diss/139.

MLA Handbook (7th Edition):

Kempton, Dustin J. “Sparse Coding for Event Tracking and Image Retrieval.” 2018. Web. 12 Nov 2019.

Vancouver:

Kempton DJ. Sparse Coding for Event Tracking and Image Retrieval. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2019 Nov 12]. Available from: https://scholarworks.gsu.edu/cs_diss/139.

Council of Science Editors:

Kempton DJ. Sparse Coding for Event Tracking and Image Retrieval. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/cs_diss/139


Rochester Institute of Technology

29. Huang, Ranxi. Semi-automated techniques for the retrieval of dermatological condition in color skin images.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2009, Rochester Institute of Technology

 Dermatologists base the diagnosis of skin disease on the visual assessment of the skin. This fact shows that correct diagnosis is highly dependent on the… (more)

Subjects/Keywords: Computer-aided diagnosis; Dermatology; Image retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, R. (2009). Semi-automated techniques for the retrieval of dermatological condition in color skin images. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Ranxi. “Semi-automated techniques for the retrieval of dermatological condition in color skin images.” 2009. Thesis, Rochester Institute of Technology. Accessed November 12, 2019. https://scholarworks.rit.edu/theses/2894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Ranxi. “Semi-automated techniques for the retrieval of dermatological condition in color skin images.” 2009. Web. 12 Nov 2019.

Vancouver:

Huang R. Semi-automated techniques for the retrieval of dermatological condition in color skin images. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Nov 12]. Available from: https://scholarworks.rit.edu/theses/2894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang R. Semi-automated techniques for the retrieval of dermatological condition in color skin images. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/2894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Rochester

30. Bolcar, Matthew R. (1979 - ). Phase diversity for segmented and multi-aperture systems.

Degree: PhD, 2009, University of Rochester

 As telescopes become larger, segmented and multi-aperture designs are being implemented to meet cost, size and weight constraints. These systems require alignment of the segments… (more)

Subjects/Keywords: Telescopes; Wavefront sensing; Image reconstruction; Phase retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bolcar, M. R. (. -. ). (2009). Phase diversity for segmented and multi-aperture systems. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/6701

Chicago Manual of Style (16th Edition):

Bolcar, Matthew R (1979 - ). “Phase diversity for segmented and multi-aperture systems.” 2009. Doctoral Dissertation, University of Rochester. Accessed November 12, 2019. http://hdl.handle.net/1802/6701.

MLA Handbook (7th Edition):

Bolcar, Matthew R (1979 - ). “Phase diversity for segmented and multi-aperture systems.” 2009. Web. 12 Nov 2019.

Vancouver:

Bolcar MR(-). Phase diversity for segmented and multi-aperture systems. [Internet] [Doctoral dissertation]. University of Rochester; 2009. [cited 2019 Nov 12]. Available from: http://hdl.handle.net/1802/6701.

Council of Science Editors:

Bolcar MR(-). Phase diversity for segmented and multi-aperture systems. [Doctoral Dissertation]. University of Rochester; 2009. Available from: http://hdl.handle.net/1802/6701

[1] [2] [3] [4] [5] … [4008]

.