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Image compression using locally sensitive hashingChucri, Samer Gerges 18 December 2013 (has links)
The problem of archiving photos is becoming increasingly important as image databases are growing more popular, and larger in size. One could take the example of any social networking website, where users share hundreds of photos, resulting in billions of total images to be stored. Ideally, one would like to use minimal storage to archive these images, by making use of the redundancy that they share, while not sacrificing quality. We suggest a compression algorithm that aims at compressing across images, rather than compressing images individually. This is a very novel approach that has never been adopted before. This report presents the design of a new image database compression tool. In addition to that, we implement a complete system on C++, and show the significant gains that we achieve in some cases, where we compress 90% of the initial data. One of the main tools we use is Locally Sensitive Hashing (LSH), a relatively new technique mainly used for similarity search in high-dimensions. / text
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Stereo image compressionAydinoğlu, Behçet Halûk 08 1900 (has links)
No description available.
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Region-based subband coding of image sequencesCoben, Muhammed Z. 05 1900 (has links)
No description available.
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Evaluation of ANSI compression in a bulk data file transfer system /Chaulklin, Douglas Gary. January 1991 (has links)
Project report (M. Eng.)--Virginia Polytechnic Institute and State University, 1991. / Abstract. Includes bibliographical references (leaves 63-64). Also available via the Internet.
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A study of scanning paths for BWT based image compressionJalumuri, Nandakishore R. January 2004 (has links)
Thesis (M.S.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains vii, 56 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 52-54).
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A reference guide to JPEG compression /Goodenow, Daniel P. January 1993 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1993. / Typescript. Includes bibliographical references.
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Efficient software implementation of the JBIG compression standard /Smith, Craig M. January 1993 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1993. / Typescript. Includes bibliographical references (leaves 72-74).
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Empirical analysis of BWT-based lossless image compressionBhupathiraju, Kalyan Varma. January 2010 (has links)
Thesis (M.S.)--West Virginia University, 2010. / Title from document title page. Document formatted into pages; contains v, 61 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 54-56).
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Adaptive edge-based prediction for lossless image compressionParthe, Rahul G. January 1900 (has links)
Thesis (M.S.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains vii, 90 p. : ill. Includes abstract. Includes bibliographical references (p. 84-90).
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Image/video coding for network applications : functionality and adaptation /Lan, Junqiang, January 2004 (has links)
Thesis (Ph.D.)--University of Missouri-Columbia, 2004. / Typescript. Vita. Includes bibliographical references (leaves 109-115). Also available on the Internet.
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