IGroup: A web image search engine with semantic clustering of search results

Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, Lei Zhang, Wei-Ying Ma

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

10 Citations (Scopus)

Abstract

In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clustering algorithms that only cluster the top few images using visual or textual features, IGroup first identifies several query-related semantic clusters based on a key phrases extraction algorithm originally proposed for clustering general Web search results. Then, all the resulting images are separated and assigned to corresponding clusters. To make the best use of the clustering results, a new user interface is proposed. Please go to http://igroup.msra.cn for real experience. Copyright 2006 ACM.
Original languageEnglish
Title of host publicationProceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006
Pages497-498
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event14th Annual ACM International Conference on Multimedia, MM 2006 - Santa Barbara, CA, United States
Duration: 23 Oct 200627 Oct 2006

Publication series

NameProceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006

Conference

Conference14th Annual ACM International Conference on Multimedia, MM 2006
PlaceUnited States
CitySanta Barbara, CA
Period23/10/0627/10/06

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Search result clustering
  • User interface design
  • Web image search

Fingerprint

Dive into the research topics of 'IGroup: A web image search engine with semantic clustering of search results'. Together they form a unique fingerprint.

Cite this