2026-09-21T20:56:29Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81125 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Huang, Thomas S. Dagli, Cagri K. 2015-09-25T20:09:40Z 2015-09-25T20:09:40Z 10000-01-01 2009 2009 Many problems in multimedia document analysis and search can be modeled as interactive prediction of semantic information. As a result, we can broadly decompose research into this area into the three critical system components: Interaction Strategies, Search/Learning Strategies and Representation. This dissertation seeks to make contributions to each of these components for image search, image annotation and multimodal document analysis applications scenarios. Several new techniques for search, interaction and representation are presented with empirical evaluation. Finally, an overview of contributions and thoughts for future work in this field are given. Made available in DSpace on 2015-09-25T20:09:40Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3362765.pdf: 8185950 bytes, checksum: 1ec15dca541b419f6bc081c13661ba0b (MD5) Previous issue date: 2009 Embargo set by: Seth Robbins for item 82407 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 202 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. http://hdl.handle.net/2142/81125 (MiAaPQ)AAI3362765 eng Engineering, Electronics and Electrical Interactive Pattern Recognition Strategies for Multimedia Document Analysis and Search text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.