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oai:www.ideals.illinois.edu:2142/81298 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Huang, Thomas S. Rui, Yong 2015-09-25T20:10:26Z 2015-09-25T20:10:26Z 10000-01-01 1999 1999 The main contributions of this thesis axe: (i) reliable and robust feature extraction and representation techniques for images and videos; (ii) introduction of relevance feedback techniques to image retrieval, which greatly improves the retrieval performance and alleviates the user's query formulation burden; and (iii) introduction of a video hierarchical structure and construction of video Table of Contents to facilitate the video analysis and retrieval. Extensive experimental results over large test data sets have validated the proposed approaches. Made available in DSpace on 2015-09-25T20:10:26Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9944986.pdf: 6628966 bytes, checksum: c6325e841bc9f912a534a9732c7d128e (MD5) Previous issue date: 1999 Embargo set by: Seth Robbins for item 82579 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 145 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999. http://hdl.handle.net/2142/81298 (MiAaPQ)AAI9944986 eng Computer Science Efficient Indexing, Browsing and Retrieval of Image /Video Content text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.