Interactive Pattern Recognition Strategies for Multimedia Document Analysis and Search

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Dagli, Cagri K.

Contributors dc:contributor

• Huang, Thomas S.

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI3362765

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81125