Back to results
University of Illinois at Urbana-Champaign
Efficient Indexing, Browsing and Retrieval of Image /Video Content
Abstract
dc:descriptionThe 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Electrical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Rui, Yong
- Contributors dc:contributor
-
- Huang, Thomas S.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9944986
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81298