Title

Image Retrieval Based On User-Specified Features In Multi-Cluster Queries

Abstract

In a typical image retrieval system, all visual features of query images are used to determine image similarity. Thus, users are left to decide whether or not to include images that not only contain desirable features but also irrelevant ones. Fewer examples or a contaminated set of more could compromise the retrieval effectiveness of most similarity measures. In this paper, we extend our previous approach that allows users define queries by specifying relevant features present in image examples. The extended technique support queries decomposed in multiple clusters, each forming a subquery. Our experimental results have shown a remarkable improvement in retrieval performance. © 2006 IEEE.

Publication Date

12-1-2006

Publication Title

2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings

Volume

2006

Number of Pages

1769-1772

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICME.2006.262894

Socpus ID

34247580225 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34247580225

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