Title :
A relevance feedback method in image retrieval by analyzing feedback log file
Author :
Zhou, Xiang-Dong ; Zhang, Liang ; Liu, Li ; Zhang, Qi ; Shi, Bai-Le
Author_Institution :
Dept. of Comput. & Inf. Technol., Fudan Univ., Shanghai, China
Abstract :
Content-based image retrieval is one of the most important research areas in multimedia databases. In recent years, it has been more and more popular to use the mechanism of relevance feedback to improve retrieval performance. We propose a novel approach of accelerating the feedback process by analyzing the feedback log file. Experimental results show that our method brings dramatic improvement to retrieval efficiency compared with the traditional relevance feedback method.
Keywords :
content-based retrieval; image retrieval; multimedia databases; relevance feedback; visual databases; collaborative filtering; content-based image retrieval; experimental results; feedback log file; image database; multimedia databases; relevance feedback; retrieval efficiency; retrieval performance; Acceleration; Collaboration; Content based retrieval; Image analysis; Image databases; Image retrieval; Image storage; Information retrieval; Multimedia databases; State feedback;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167491
