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You searched for subject:(Image retrieval). Showing records 1 – 30 of 378 total matches.

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University of Zululand

1. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Olugbara OO. A shape-based approach for image retrieval in healthcare information infrastructure . [Internet] [Thesis]. University of Zululand; 2008. [cited 2019 Oct 21]. 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

2. 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

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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 October 21, 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. 21 Oct 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 Oct 21]. 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

3. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Zhang L. Scalable Content-Based Image and Video Retrieval . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Oct 21]. 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

4. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Thapade S. Content based image retrieval. [Internet] [Thesis]. INFLIBNET; 2013. [cited 2019 Oct 21]. 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

5. 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

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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 October 21, 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. 21 Oct 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 Oct 21]. 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

6. 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

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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 October 21, 2019. https://etda.libraries.psu.edu/catalog/19018.

MLA Handbook (7th Edition):

Fang, Qi. “Potential Energy Distance based Image Retrieval.” 2014. Web. 21 Oct 2019.

Vancouver:

Fang Q. Potential Energy Distance based Image Retrieval. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Oct 21]. 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

7. 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.

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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 October 21, 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. 21 Oct 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 Oct 21]. 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


Delft University of Technology

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

Degree: 2013, Delft University of Technology

Subjects/Keywords: image retrieval

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Yang L. Advanced Retrieval Models for Web Image Search. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2019 Oct 21]. 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


University of North Texas

9. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Oyarce S. In Pursuit of Image: How We Think About Photographs We Seek. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Oct 21]. 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


Anna University

10. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

S B. Some studies on multifeature Analysis and enhancement for Content based image retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Oct 21]. 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

11. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Bosque Gil J. A Model for the Semantic Annotation of Images. [Internet] [Thesis]. Brandeis University; 2014. [cited 2019 Oct 21]. 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

12. 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

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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 October 21, 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. 21 Oct 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 Oct 21]. 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


Anna University

13. 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:

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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 October 21, 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. 21 Oct 2019.

Vancouver:

C M. Efficient technique for color image segmentation towards the enhancement of image retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Oct 21]. 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

14. 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

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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 October 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830.

MLA Handbook (7th Edition):

Ozendi, Mustafa. “Viewpoint Independent Image Classification and Retrieval.” 2010. Web. 21 Oct 2019.

Vancouver:

Ozendi M. Viewpoint Independent Image Classification and Retrieval. [Internet] [Masters thesis]. The Ohio State University; 2010. [cited 2019 Oct 21]. 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

15. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Quddus A. Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2019 Oct 21]. 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


Addis Ababa University

16. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Estifanos G. Shape Sensitive Salient-object based Image Query . [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2019 Oct 21]. 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


Universitat Pompeu Fabra

17. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Olivares Ríos X. Large scale image retrieval base on user generated content. [Internet] [Thesis]. Universitat Pompeu Fabra; 2011. [cited 2019 Oct 21]. 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

18. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

B R. Certain approaches on content based medical image retrieval CBMIR using visual features;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Oct 21]. 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

19. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Huang Y. Retrieval by spatial similarity based on interval neighbor group. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Oct 21]. 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

20. 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.

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Schuh MA. High-dimensional data indexing with applications. [Internet] [Thesis]. Montana State University; 2015. [cited 2019 Oct 21]. 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

21. 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

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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 October 21, 2019. http://hdl.handle.net/1842/20390.

MLA Handbook (7th Edition):

Moran, Sean James. “Learning to hash for large scale image retrieval.” 2016. Web. 21 Oct 2019.

Vancouver:

Moran SJ. Learning to hash for large scale image retrieval. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Oct 21]. 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

22. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Goparaju T. Compact Image Signatures for Efficient Retrieval from Large GIS Raster Collections. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2019 Oct 21]. 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

23. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Valluri A. NAVIGATION AND MAPPING THROUGH AUTOMATED IMAGE UNDERSTANDING AND RETRIEVAL. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Oct 21]. 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

24. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Kempton DJ. Sparse Coding for Event Tracking and Image Retrieval. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2019 Oct 21]. 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

25. 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

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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 October 21, 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. 21 Oct 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 Oct 21]. 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

26. 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

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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 October 21, 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. 21 Oct 2019.

Vancouver:

Bolcar MR(-). Phase diversity for segmented and multi-aperture systems. [Internet] [Doctoral dissertation]. University of Rochester; 2009. [cited 2019 Oct 21]. 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

27. Shojanazeri, Hamid. A new perceptual dissimilarity measure for image retrieval and clustering.

Degree: PhD, 2018, Federation University Australia

Image retrieval and clustering are two important tools for analysing and organising images. Dissimilarity measure is central to both image retrieval and clustering. The performance… (more)

Subjects/Keywords: Perceptual dissimilarity meaure; Image retrieval; Clustering

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APA (6th Edition):

Shojanazeri, H. (2018). A new perceptual dissimilarity measure for image retrieval and clustering. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633

Chicago Manual of Style (16th Edition):

Shojanazeri, Hamid. “A new perceptual dissimilarity measure for image retrieval and clustering.” 2018. Doctoral Dissertation, Federation University Australia. Accessed October 21, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633.

MLA Handbook (7th Edition):

Shojanazeri, Hamid. “A new perceptual dissimilarity measure for image retrieval and clustering.” 2018. Web. 21 Oct 2019.

Vancouver:

Shojanazeri H. A new perceptual dissimilarity measure for image retrieval and clustering. [Internet] [Doctoral dissertation]. Federation University Australia; 2018. [cited 2019 Oct 21]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633.

Council of Science Editors:

Shojanazeri H. A new perceptual dissimilarity measure for image retrieval and clustering. [Doctoral Dissertation]. Federation University Australia; 2018. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633


University of Sydney

28. Guan, Genliang. Novel perspectives and approaches to video summarization .

Degree: 2014, University of Sydney

 The increasing volume of videos requires efficient and effective techniques to index and structure videos. Video summarization is such a technique that extracts the essential… (more)

Subjects/Keywords: video summarization; video retrieval; multimedia; image processing

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APA (6th Edition):

Guan, G. (2014). Novel perspectives and approaches to video summarization . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/13550

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):

Guan, Genliang. “Novel perspectives and approaches to video summarization .” 2014. Thesis, University of Sydney. Accessed October 21, 2019. http://hdl.handle.net/2123/13550.

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

MLA Handbook (7th Edition):

Guan, Genliang. “Novel perspectives and approaches to video summarization .” 2014. Web. 21 Oct 2019.

Vancouver:

Guan G. Novel perspectives and approaches to video summarization . [Internet] [Thesis]. University of Sydney; 2014. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2123/13550.

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

Council of Science Editors:

Guan G. Novel perspectives and approaches to video summarization . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/13550

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


Anna University

29. Grace Selvarani A. Certain analysis on content based medical image retrieval system using shape texture semantic and visual features.

Degree: 2013, Anna University

Content-based image retrieval (CBIR) is a technique of searching the images based on the content of the image. CBIR is a promising technology to enrich… (more)

Subjects/Keywords: Content based image retrieval; Picture archiving and communication systems; medical image retrieval system; texture; semantic

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APA (6th Edition):

A, G. S. (2013). Certain analysis on content based medical image retrieval system using shape texture semantic and visual features. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/11690

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):

A, Grace Selvarani. “Certain analysis on content based medical image retrieval system using shape texture semantic and visual features.” 2013. Thesis, Anna University. Accessed October 21, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/11690.

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

MLA Handbook (7th Edition):

A, Grace Selvarani. “Certain analysis on content based medical image retrieval system using shape texture semantic and visual features.” 2013. Web. 21 Oct 2019.

Vancouver:

A GS. Certain analysis on content based medical image retrieval system using shape texture semantic and visual features. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Oct 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11690.

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

Council of Science Editors:

A GS. Certain analysis on content based medical image retrieval system using shape texture semantic and visual features. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11690

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

30. Shrivastava, Nishant. An effective content based image retrieval system using relevance search and low level features;.

Degree: Computer Science Engineering, 2014, Jaypee University of Engineering and Technology, Guna

The enormous growth in the internet and multimedia technology has generated a huge amount of data in the form of images, videos, and audio. This… (more)

Subjects/Keywords: Content based image retrieval; Image retrieval based on region of interest; Local structure pattern

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

APA (6th Edition):

Shrivastava, N. (2014). An effective content based image retrieval system using relevance search and low level features;. (Thesis). Jaypee University of Engineering and Technology, Guna. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/19933

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):

Shrivastava, Nishant. “An effective content based image retrieval system using relevance search and low level features;.” 2014. Thesis, Jaypee University of Engineering and Technology, Guna. Accessed October 21, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/19933.

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

MLA Handbook (7th Edition):

Shrivastava, Nishant. “An effective content based image retrieval system using relevance search and low level features;.” 2014. Web. 21 Oct 2019.

Vancouver:

Shrivastava N. An effective content based image retrieval system using relevance search and low level features;. [Internet] [Thesis]. Jaypee University of Engineering and Technology, Guna; 2014. [cited 2019 Oct 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19933.

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

Council of Science Editors:

Shrivastava N. An effective content based image retrieval system using relevance search and low level features;. [Thesis]. Jaypee University of Engineering and Technology, Guna; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19933

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

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