DocumentCode
382028
Title
Feature space warping: an approach to relevance feedback
Author
Bang, Hoon Yul ; Chen, Tsuhan
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
1
fYear
2002
fDate
2002
Abstract
Relevance feedback has been shown to be an effective tool to enhance content-based information retrieval (CBIR) systems. We propose a new approach to relevance feedback by warping the database´s feature space, or shifting the objects´ data points in a controlled manner responding to user feedback. We demonstrate that given consistent feedback, the performance of the retrieval system can be significantly increased.
Keywords
content-based retrieval; image processing; image retrieval; relevance feedback; visual databases; CBIR; content-based information retrieval; content-based retrieval; database; feature space warping; image retrieval; relevance feedback; Airplanes; Content based retrieval; Humans; Information retrieval; Intelligent systems; Multimedia databases; Multimedia systems; Negative feedback; Solid modeling; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7622-6
Type
conf
DOI
10.1109/ICIP.2002.1038189
Filename
1038189
Link To Document