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You searched for subject:(Text based Image Retrieval). Showing records 1 – 30 of 54153 total matches.

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1. Zheng, Shaochen. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.

Degree: MS, Computer Science, 2016, University of Windsor

  With advances in computer technology, there has been an explosion in the amount of digital images being generated. It is of importance to retrieve… (more)

Subjects/Keywords: Image Retrieval; Informational Retrieval; IR; TBIR; Text-based Image Retrieval

…include Content-based Image Retrieval (CBIR)[6], Hashing-Based Image… …annotate an image with keywords and to retrieve images based on text queries. In this approach… …image contains repeated index terms. . . . . . . . . . . 45 22 The retrieval result of the… …in recent years, a variety of image retrieval methods thusly have been proposed, which… …Retrieval[51], Textbased Image Retrieval (TBIR)[39], etc. Among all… 

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

APA (6th Edition):

Zheng, S. (2016). Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5924

Chicago Manual of Style (16th Edition):

Zheng, Shaochen. “Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.” 2016. Masters Thesis, University of Windsor. Accessed January 24, 2021. https://scholar.uwindsor.ca/etd/5924.

MLA Handbook (7th Edition):

Zheng, Shaochen. “Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.” 2016. Web. 24 Jan 2021.

Vancouver:

Zheng S. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2021 Jan 24]. Available from: https://scholar.uwindsor.ca/etd/5924.

Council of Science Editors:

Zheng S. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5924


Montana State University

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

Degree: PhD, 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. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/865

Chicago Manual of Style (16th Edition):

Banda, Juan. “Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis.” 2011. Doctoral Dissertation, Montana State University. Accessed January 24, 2021. https://scholarworks.montana.edu/xmlui/handle/1/865.

MLA Handbook (7th Edition):

Banda, Juan. “Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis.” 2011. Web. 24 Jan 2021.

Vancouver:

Banda J. Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis. [Internet] [Doctoral dissertation]. Montana State University; 2011. [cited 2021 Jan 24]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/865.

Council of Science Editors:

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


Anna University

3. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

S B. Some studies on multifeature Analysis and enhancement for Content based image retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Jan 24]. 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

4. 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 (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 January 24, 2021. 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. 24 Jan 2021.

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 2021 Jan 24]. 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

5. 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 (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 January 24, 2021. 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. 24 Jan 2021.

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 2021 Jan 24]. 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


Anna University

6. Felci rajam I. Adaptive invariant content based Image retrieval using semantic Learning;.

Degree: Adaptive invariant content based Image retrieval using semantic Learning, 2015, Anna University

With the extensive growth of image databases in the digital world newlineefficient image retrieval has gained much importance Content Based Image newlineRetrieval CBIR is the… (more)

Subjects/Keywords: Content Based Image Retrieval; Semantic content based image retrieval; Support vector machine

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APA (6th Edition):

I, F. r. (2015). Adaptive invariant content based Image retrieval using semantic Learning;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38881

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):

I, Felci rajam. “Adaptive invariant content based Image retrieval using semantic Learning;.” 2015. Thesis, Anna University. Accessed January 24, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/38881.

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

MLA Handbook (7th Edition):

I, Felci rajam. “Adaptive invariant content based Image retrieval using semantic Learning;.” 2015. Web. 24 Jan 2021.

Vancouver:

I Fr. Adaptive invariant content based Image retrieval using semantic Learning;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Jan 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38881.

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

Council of Science Editors:

I Fr. Adaptive invariant content based Image retrieval using semantic Learning;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38881

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


Anna University

7. 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 (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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

C M. Efficient technique for color image segmentation towards the enhancement of image retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Jan 24]. 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


NSYSU

8. 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 (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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Huang Y. Retrieval by spatial similarity based on interval neighbor group. [Internet] [Thesis]. NSYSU; 2008. [cited 2021 Jan 24]. 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


Anna University

9. 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 (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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

B R. Certain approaches on content based medical image retrieval CBMIR using visual features;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Jan 24]. 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


Montana State University

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

Degree: PhD, 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 (6th Edition):

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

Chicago Manual of Style (16th Edition):

Schuh, Michael Arthur. “High-dimensional data indexing with applications.” 2015. Doctoral Dissertation, Montana State University. Accessed January 24, 2021. https://scholarworks.montana.edu/xmlui/handle/1/9215.

MLA Handbook (7th Edition):

Schuh, Michael Arthur. “High-dimensional data indexing with applications.” 2015. Web. 24 Jan 2021.

Vancouver:

Schuh MA. High-dimensional data indexing with applications. [Internet] [Doctoral dissertation]. Montana State University; 2015. [cited 2021 Jan 24]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9215.

Council of Science Editors:

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


Universidade Nova

11. Delgado, Diogo Miguel Melo. Automated illustration of multimedia stories.

Degree: 2010, Universidade Nova

Submitted in part fulfillment of the requirements for the degree of Master in Computer Science

We all had the problem of forgetting about what we… (more)

Subjects/Keywords: Story illustration; Text analysis; Informational retrieval; Image-text association; Vector space model; User feedback

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APA (6th Edition):

Delgado, D. M. M. (2010). Automated illustration of multimedia stories. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4478

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):

Delgado, Diogo Miguel Melo. “Automated illustration of multimedia stories.” 2010. Thesis, Universidade Nova. Accessed January 24, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4478.

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

MLA Handbook (7th Edition):

Delgado, Diogo Miguel Melo. “Automated illustration of multimedia stories.” 2010. Web. 24 Jan 2021.

Vancouver:

Delgado DMM. Automated illustration of multimedia stories. [Internet] [Thesis]. Universidade Nova; 2010. [cited 2021 Jan 24]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4478.

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

Council of Science Editors:

Delgado DMM. Automated illustration of multimedia stories. [Thesis]. Universidade Nova; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4478

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


Brigham Young University

12. Christiansen, Ammon J. Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text.

Degree: MS, 2007, Brigham Young University

  This work addresses the need for an alternative to keyword-based search for sifting through large PDF medical journal article document collections for literature review… (more)

Subjects/Keywords: content-based image retrieval; content-based document retrieval; evaluation; modified tf-idf; document structure; document understanding; hybrid text and image retrieval system; Electrical and Computer Engineering

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

APA (6th Edition):

Christiansen, A. J. (2007). Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1871&context=etd

Chicago Manual of Style (16th Edition):

Christiansen, Ammon J. “Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text.” 2007. Masters Thesis, Brigham Young University. Accessed January 24, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1871&context=etd.

MLA Handbook (7th Edition):

Christiansen, Ammon J. “Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text.” 2007. Web. 24 Jan 2021.

Vancouver:

Christiansen AJ. Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text. [Internet] [Masters thesis]. Brigham Young University; 2007. [cited 2021 Jan 24]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1871&context=etd.

Council of Science Editors:

Christiansen AJ. Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text. [Masters Thesis]. Brigham Young University; 2007. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1871&context=etd


University of North Texas

13. Jeong, Ki Tai. A Common Representation Format for Multimedia Documents.

Degree: 2002, University of North Texas

 Multimedia documents are composed of multiple file format combinations, such as image and text, image and sound, or image, text and sound. The type of… (more)

Subjects/Keywords: Multimedia systems.; Document imaging systems.; Information retrieval.; Content-based image retrieval; text and image; Lorenz information measurement; single data structure

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APA (6th Edition):

Jeong, K. T. (2002). A Common Representation Format for Multimedia Documents. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc3336/

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):

Jeong, Ki Tai. “A Common Representation Format for Multimedia Documents.” 2002. Thesis, University of North Texas. Accessed January 24, 2021. https://digital.library.unt.edu/ark:/67531/metadc3336/.

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

MLA Handbook (7th Edition):

Jeong, Ki Tai. “A Common Representation Format for Multimedia Documents.” 2002. Web. 24 Jan 2021.

Vancouver:

Jeong KT. A Common Representation Format for Multimedia Documents. [Internet] [Thesis]. University of North Texas; 2002. [cited 2021 Jan 24]. Available from: https://digital.library.unt.edu/ark:/67531/metadc3336/.

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

Council of Science Editors:

Jeong KT. A Common Representation Format for Multimedia Documents. [Thesis]. University of North Texas; 2002. Available from: https://digital.library.unt.edu/ark:/67531/metadc3336/

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


Addis Ababa University

14. 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 (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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Estifanos G. Shape Sensitive Salient-object based Image Query . [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2021 Jan 24]. 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


Anna University

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

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 January 24, 2021. 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. 24 Jan 2021.

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 2021 Jan 24]. 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


Dalhousie University

16. HE, DAAN. Three new methods for color and texture based image matching in Content-Based Image Retrieval.

Degree: PhD, Faculty of Computer Science, 2010, Dalhousie University

Image matching is an important and necessary process in Content-Based Image Retrieval (CBIR). We propose three new methods for image matching: the first one is… (more)

Subjects/Keywords: Image matching; , Content-Based Image Retrieval; Color; Texture

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

APA (6th Edition):

HE, D. (2010). Three new methods for color and texture based image matching in Content-Based Image Retrieval. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/12817

Chicago Manual of Style (16th Edition):

HE, DAAN. “Three new methods for color and texture based image matching in Content-Based Image Retrieval.” 2010. Doctoral Dissertation, Dalhousie University. Accessed January 24, 2021. http://hdl.handle.net/10222/12817.

MLA Handbook (7th Edition):

HE, DAAN. “Three new methods for color and texture based image matching in Content-Based Image Retrieval.” 2010. Web. 24 Jan 2021.

Vancouver:

HE D. Three new methods for color and texture based image matching in Content-Based Image Retrieval. [Internet] [Doctoral dissertation]. Dalhousie University; 2010. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10222/12817.

Council of Science Editors:

HE D. Three new methods for color and texture based image matching in Content-Based Image Retrieval. [Doctoral Dissertation]. Dalhousie University; 2010. Available from: http://hdl.handle.net/10222/12817


University of California – Berkeley

17. Eden, Ashley Michelle. Finding Lost Children.

Degree: Computer Science, 2010, University of California – Berkeley

 During a disaster, children may be quickly wrenched from their families. Research shows that children in such circumstances are often unable or unwilling to give… (more)

Subjects/Keywords: Computer Science; Content-based image retrieval; mental image search; pediatric reunification

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APA (6th Edition):

Eden, A. M. (2010). Finding Lost Children. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7sn371vm

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):

Eden, Ashley Michelle. “Finding Lost Children.” 2010. Thesis, University of California – Berkeley. Accessed January 24, 2021. http://www.escholarship.org/uc/item/7sn371vm.

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

MLA Handbook (7th Edition):

Eden, Ashley Michelle. “Finding Lost Children.” 2010. Web. 24 Jan 2021.

Vancouver:

Eden AM. Finding Lost Children. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2021 Jan 24]. Available from: http://www.escholarship.org/uc/item/7sn371vm.

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

Council of Science Editors:

Eden AM. Finding Lost Children. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/7sn371vm

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

18. Kalra, Shivam. Content-based Image Retrieval of Gigapixel Histopathology Scans: A Comparative Study of Convolution Neural Network, Local Binary Pattern, and Bag of visual Words.

Degree: 2018, University of Waterloo

 The state-of-the-art image analysis algorithms offer a unique opportunity to extract semantically meaningful features from medical images. The advantage of this approach is automation in… (more)

Subjects/Keywords: Content-based Image Retrieval; Digital Pathology; Deep Learning; Image Classification

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APA (6th Edition):

Kalra, S. (2018). Content-based Image Retrieval of Gigapixel Histopathology Scans: A Comparative Study of Convolution Neural Network, Local Binary Pattern, and Bag of visual Words. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13226

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):

Kalra, Shivam. “Content-based Image Retrieval of Gigapixel Histopathology Scans: A Comparative Study of Convolution Neural Network, Local Binary Pattern, and Bag of visual Words.” 2018. Thesis, University of Waterloo. Accessed January 24, 2021. http://hdl.handle.net/10012/13226.

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

MLA Handbook (7th Edition):

Kalra, Shivam. “Content-based Image Retrieval of Gigapixel Histopathology Scans: A Comparative Study of Convolution Neural Network, Local Binary Pattern, and Bag of visual Words.” 2018. Web. 24 Jan 2021.

Vancouver:

Kalra S. Content-based Image Retrieval of Gigapixel Histopathology Scans: A Comparative Study of Convolution Neural Network, Local Binary Pattern, and Bag of visual Words. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10012/13226.

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

Council of Science Editors:

Kalra S. Content-based Image Retrieval of Gigapixel Histopathology Scans: A Comparative Study of Convolution Neural Network, Local Binary Pattern, and Bag of visual Words. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13226

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


University of Ontario Institute of Technology

19. Rizvi, Syed Raazi. Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes.

Degree: 2019, University of Ontario Institute of Technology

 Content Based Medical Image Retrieval (CBMIR) systems are vital to the underlying operation of medical databases because they allow quick search and retrieval of medical… (more)

Subjects/Keywords: Content-based medical image retrieval; Radon barcodes; Image processing

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APA (6th Edition):

Rizvi, S. R. (2019). Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1139

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):

Rizvi, Syed Raazi. “Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes.” 2019. Thesis, University of Ontario Institute of Technology. Accessed January 24, 2021. http://hdl.handle.net/10155/1139.

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

MLA Handbook (7th Edition):

Rizvi, Syed Raazi. “Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes.” 2019. Web. 24 Jan 2021.

Vancouver:

Rizvi SR. Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10155/1139.

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

Council of Science Editors:

Rizvi SR. Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1139

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

20. Karmakar, Priyabrata. Effective and efficient kernel-based image representations for classification and retrieval.

Degree: PhD, 2018, Federation University Australia

Image representation is a challenging task. In particular, in order to obtain better performances in different image processing applications such as video surveillance, autonomous driving,… (more)

Subjects/Keywords: Image representation methods; Kernal-based image representations; Classification; Retrieval

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APA (6th Edition):

Karmakar, P. (2018). Effective and efficient kernel-based image representations for classification and retrieval. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165515 ; https://library.federation.edu.au/record=b2790194

Chicago Manual of Style (16th Edition):

Karmakar, Priyabrata. “Effective and efficient kernel-based image representations for classification and retrieval.” 2018. Doctoral Dissertation, Federation University Australia. Accessed January 24, 2021. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165515 ; https://library.federation.edu.au/record=b2790194.

MLA Handbook (7th Edition):

Karmakar, Priyabrata. “Effective and efficient kernel-based image representations for classification and retrieval.” 2018. Web. 24 Jan 2021.

Vancouver:

Karmakar P. Effective and efficient kernel-based image representations for classification and retrieval. [Internet] [Doctoral dissertation]. Federation University Australia; 2018. [cited 2021 Jan 24]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165515 ; https://library.federation.edu.au/record=b2790194.

Council of Science Editors:

Karmakar P. Effective and efficient kernel-based image representations for classification and retrieval. [Doctoral Dissertation]. Federation University Australia; 2018. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165515 ; https://library.federation.edu.au/record=b2790194


University of Sydney

21. Zhang, Fan. Content-based Medical Image Classification and Retrieval .

Degree: 2016, University of Sydney

 Content-based medical image classification and retrieval are the tasks finding medical images, e.g., of the same category of healthy or abnormal organs, for disease diagnosis… (more)

Subjects/Keywords: Content-based Medical Image Analysis; Medical Image Classification and Retrieval

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

APA (6th Edition):

Zhang, F. (2016). Content-based Medical Image Classification and Retrieval . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15531

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, Fan. “Content-based Medical Image Classification and Retrieval .” 2016. Thesis, University of Sydney. Accessed January 24, 2021. http://hdl.handle.net/2123/15531.

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

MLA Handbook (7th Edition):

Zhang, Fan. “Content-based Medical Image Classification and Retrieval .” 2016. Web. 24 Jan 2021.

Vancouver:

Zhang F. Content-based Medical Image Classification and Retrieval . [Internet] [Thesis]. University of Sydney; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2123/15531.

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

Council of Science Editors:

Zhang F. Content-based Medical Image Classification and Retrieval . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15531

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


Ohio University

22. Hariharan, Sriram. Image retrieval by spatial similarity a java - based prototype.

Degree: MS, Electrical Engineering & Computer Science (Engineering and Technology), 1998, Ohio University

Subjects/Keywords: Java - Based Prototype; Image Retrieval; Content Based Image Retrieval

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

APA (6th Edition):

Hariharan, S. (1998). Image retrieval by spatial similarity a java - based prototype. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176496040

Chicago Manual of Style (16th Edition):

Hariharan, Sriram. “Image retrieval by spatial similarity a java - based prototype.” 1998. Masters Thesis, Ohio University. Accessed January 24, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176496040.

MLA Handbook (7th Edition):

Hariharan, Sriram. “Image retrieval by spatial similarity a java - based prototype.” 1998. Web. 24 Jan 2021.

Vancouver:

Hariharan S. Image retrieval by spatial similarity a java - based prototype. [Internet] [Masters thesis]. Ohio University; 1998. [cited 2021 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176496040.

Council of Science Editors:

Hariharan S. Image retrieval by spatial similarity a java - based prototype. [Masters Thesis]. Ohio University; 1998. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176496040


Queensland University of Technology

23. Yuee, Liu. Ontology-based image annotation.

Degree: 2010, Queensland University of Technology

 With regard to the long-standing problem of the semantic gap between low-level image features and high-level human knowledge, the image retrieval community has recently shifted… (more)

Subjects/Keywords: ontology; semantic extraction; image annotation; image segmentation; salient object; machine learning; content-based image retrieval

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

APA (6th Edition):

Yuee, L. (2010). Ontology-based image annotation. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/39611/

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):

Yuee, Liu. “Ontology-based image annotation.” 2010. Thesis, Queensland University of Technology. Accessed January 24, 2021. https://eprints.qut.edu.au/39611/.

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

MLA Handbook (7th Edition):

Yuee, Liu. “Ontology-based image annotation.” 2010. Web. 24 Jan 2021.

Vancouver:

Yuee L. Ontology-based image annotation. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2021 Jan 24]. Available from: https://eprints.qut.edu.au/39611/.

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

Council of Science Editors:

Yuee L. Ontology-based image annotation. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/39611/

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


Rochester Institute of Technology

24. Davila Castellanos, Kenny. Symbolic and Visual Retrieval of Mathematical Notation using Formula Graph Symbol Pair Matching and Structural Alignment.

Degree: PhD, 2017, Rochester Institute of Technology

  Large data collections containing millions of math formulae in different formats are available on-line. Retrieving math expressions from these collections is challenging. We propose… (more)

Subjects/Keywords: Content based image retrieval; Information retrieval; Operator tree; Symbol layout tree; Symbol recognition; Video summarization

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APA (6th Edition):

Davila Castellanos, K. (2017). Symbolic and Visual Retrieval of Mathematical Notation using Formula Graph Symbol Pair Matching and Structural Alignment. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9588

Chicago Manual of Style (16th Edition):

Davila Castellanos, Kenny. “Symbolic and Visual Retrieval of Mathematical Notation using Formula Graph Symbol Pair Matching and Structural Alignment.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed January 24, 2021. https://scholarworks.rit.edu/theses/9588.

MLA Handbook (7th Edition):

Davila Castellanos, Kenny. “Symbolic and Visual Retrieval of Mathematical Notation using Formula Graph Symbol Pair Matching and Structural Alignment.” 2017. Web. 24 Jan 2021.

Vancouver:

Davila Castellanos K. Symbolic and Visual Retrieval of Mathematical Notation using Formula Graph Symbol Pair Matching and Structural Alignment. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2021 Jan 24]. Available from: https://scholarworks.rit.edu/theses/9588.

Council of Science Editors:

Davila Castellanos K. Symbolic and Visual Retrieval of Mathematical Notation using Formula Graph Symbol Pair Matching and Structural Alignment. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9588

25. Huang, Jia. Recommendation with contextual information.

Degree: 2014, Drexel University

Information retrieval (IR) systems have tremendously broaden users' access to information. However, users need to select their needs from trillions of information indexed daily. Due… (more)

Subjects/Keywords: Information studies; Information storage and retrieval systems; Content-based image retrieval; Recommender systems (Information filtering)

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APA (6th Edition):

Huang, J. (2014). Recommendation with contextual information. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4546

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, Jia. “Recommendation with contextual information.” 2014. Thesis, Drexel University. Accessed January 24, 2021. http://hdl.handle.net/1860/4546.

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

MLA Handbook (7th Edition):

Huang, Jia. “Recommendation with contextual information.” 2014. Web. 24 Jan 2021.

Vancouver:

Huang J. Recommendation with contextual information. [Internet] [Thesis]. Drexel University; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1860/4546.

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

Council of Science Editors:

Huang J. Recommendation with contextual information. [Thesis]. Drexel University; 2014. Available from: http://hdl.handle.net/1860/4546

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

26. Larsson, Jimmy. Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources.

Degree: Computer Science and Communication (CSC), 2016, KTH

With a multitude of images available on the Internet, how do we find what we are looking for? This project tries to determine how… (more)

Subjects/Keywords: Taxonomy; Image Retrieval; TBIR; CBIR; WordNet; Text-Based Image Search; Content-Based Image Search; Computer Sciences; Datavetenskap (datalogi)

…Forest . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Text-Based Image Retrieval 4.1… …6.4 Text-Based Image Retrieval . . . . . . . . 6.4.1 Natural Language Processing . . . 6.4.2… …call Text-Based Image Retrieval (TBIR), also known as Context-Based Image Retrieval… …and compare that to already known data. The Text-Based Image Retrieval of today on the other… …some degree, what the image may portray. While Content-Based and Text-Based Image Retrieval… 

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

APA (6th Edition):

Larsson, J. (2016). Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574

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):

Larsson, Jimmy. “Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources.” 2016. Thesis, KTH. Accessed January 24, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574.

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

MLA Handbook (7th Edition):

Larsson, Jimmy. “Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources.” 2016. Web. 24 Jan 2021.

Vancouver:

Larsson J. Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources. [Internet] [Thesis]. KTH; 2016. [cited 2021 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574.

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

Council of Science Editors:

Larsson J. Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574

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


University of Alberta

27. Hajebi, Kiana. Efficient Visual Search in Appearance-based SLAM.

Degree: PhD, Department of Computing Science, 2015, University of Alberta

 Simultaneous localization and mapping (SLAM) in an unknown environment is a prerequisite to have a truly autonomous mobile robot. In this thesis, we focus on… (more)

Subjects/Keywords: Graph Nearest Neighbor Search; Image Retrieval; Robotics; Appearance-based SLAM

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

APA (6th Edition):

Hajebi, K. (2015). Efficient Visual Search in Appearance-based SLAM. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/k643b385g

Chicago Manual of Style (16th Edition):

Hajebi, Kiana. “Efficient Visual Search in Appearance-based SLAM.” 2015. Doctoral Dissertation, University of Alberta. Accessed January 24, 2021. https://era.library.ualberta.ca/files/k643b385g.

MLA Handbook (7th Edition):

Hajebi, Kiana. “Efficient Visual Search in Appearance-based SLAM.” 2015. Web. 24 Jan 2021.

Vancouver:

Hajebi K. Efficient Visual Search in Appearance-based SLAM. [Internet] [Doctoral dissertation]. University of Alberta; 2015. [cited 2021 Jan 24]. Available from: https://era.library.ualberta.ca/files/k643b385g.

Council of Science Editors:

Hajebi K. Efficient Visual Search in Appearance-based SLAM. [Doctoral Dissertation]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/k643b385g


Anna University

28. Renukadevi N T. Certain improvements in support Vector machine kernel using hybrid Evolutionary algorithms for Medical image classification;.

Degree: Certain improvements in support Vector machine kernel using hybrid Evolutionary algorithms for Medical image classification, 2015, Anna University

With the technological advances in digital imaging large newlinecollections of medical images are generated and stored in the medical newlinedatabases X ray CT MRI PET… (more)

Subjects/Keywords: Content Based Image Retrieval; Medical databases X ray

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APA (6th Edition):

T, R. N. (2015). Certain improvements in support Vector machine kernel using hybrid Evolutionary algorithms for Medical image classification;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/49416

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):

T, Renukadevi N. “Certain improvements in support Vector machine kernel using hybrid Evolutionary algorithms for Medical image classification;.” 2015. Thesis, Anna University. Accessed January 24, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/49416.

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

MLA Handbook (7th Edition):

T, Renukadevi N. “Certain improvements in support Vector machine kernel using hybrid Evolutionary algorithms for Medical image classification;.” 2015. Web. 24 Jan 2021.

Vancouver:

T RN. Certain improvements in support Vector machine kernel using hybrid Evolutionary algorithms for Medical image classification;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Jan 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49416.

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

Council of Science Editors:

T RN. Certain improvements in support Vector machine kernel using hybrid Evolutionary algorithms for Medical image classification;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49416

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

29. Raghuraman G. Content based image retrieval in Medical image databases;.

Degree: Content based image retrieval in Medical image databases, 2015, Anna University

With the availability of easy and inexpensive methods to create and newlinestore images in digital formats the visual information preserved and shared newlineelectronically has grown… (more)

Subjects/Keywords: Content Based Image Retrieval systems; Inherent semantic gap

Page 1

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

APA (6th Edition):

G, R. (2015). Content based image retrieval in Medical image databases;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/40114

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):

G, Raghuraman. “Content based image retrieval in Medical image databases;.” 2015. Thesis, Anna University. Accessed January 24, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/40114.

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

MLA Handbook (7th Edition):

G, Raghuraman. “Content based image retrieval in Medical image databases;.” 2015. Web. 24 Jan 2021.

Vancouver:

G R. Content based image retrieval in Medical image databases;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Jan 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40114.

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

Council of Science Editors:

G R. Content based image retrieval in Medical image databases;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40114

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


University of Waterloo

30. Sriram, Aditya. Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images.

Degree: 2018, University of Waterloo

 Clinical analysis and medical diagnosis of diverse diseases adopt medical imaging techniques to empower specialists to perform their tasks by visualizing internal body organs and… (more)

Subjects/Keywords: Machine Learning; Medical Imaging; Radon transform; Content-based Image Retrieval

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

APA (6th Edition):

Sriram, A. (2018). Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13165

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):

Sriram, Aditya. “Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images.” 2018. Thesis, University of Waterloo. Accessed January 24, 2021. http://hdl.handle.net/10012/13165.

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

MLA Handbook (7th Edition):

Sriram, Aditya. “Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images.” 2018. Web. 24 Jan 2021.

Vancouver:

Sriram A. Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10012/13165.

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

Council of Science Editors:

Sriram A. Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13165

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

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