Title

Boost Image Clustering With User Query Log

Keywords

Constrained clustering; Randomized contraction; Semi-supervised clustering; User query log

Abstract

Image clustering is to derive a salient grouping of images such that similar ones are placed in the same cluster, which is useful in many applications. In this paper, we propose a constrained clustering algorithm, which leverages the collected user query log to guide the clustering process. Our method models a set of images as a graph and randomly contracts two vertices into a meta vertex iteratively with regarding to their similarity until the desired number of image groups has been reached. The experimental results demonstrate the superiority of our proposal. © 2008 IEEE.

Publication Date

10-23-2008

Publication Title

2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Number of Pages

1241-1244

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICME.2008.4607666

Socpus ID

54049110506 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/54049110506

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