Title
Client-Side Relevance Feedback Approach For Image Retrieval In Mobile Environment
Abstract
With the proliferation of handheld devices, the demand of multimedia information retrieval on mobile devices has attracted more attention. A relevance feedback information retrieval process usually includes several rounds of query refinement. Each round incurs exchange of tens of images between the mobile device and the server. With limited wireless bandwidth, this process can incur substantial delay making the system unfriendly to use. We address this issue by considering a Client-side Relevance Feedback (CRF) technique. Since relevance feedback is done on client side, system response is instantaneous significantly enhancing system usability. Furthermore, since the server is not involved in relevance feedback processing, it is able to support thousands more users simultaneously. Our experimental results indicate that this scheme also effectively address the semantic gap in content-based image retrieval. © 2007 IEEE.
Publication Date
1-1-2007
Publication Title
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
Number of Pages
552-555
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/icme.2007.4284709
Copyright Status
Unknown
Socpus ID
46449094389 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/46449094389
STARS Citation
Yu, Ning; Hua, Kien A.; and Liu, Danzhou, "Client-Side Relevance Feedback Approach For Image Retrieval In Mobile Environment" (2007). Scopus Export 2000s. 7230.
https://stars.library.ucf.edu/scopus2000/7230