creators_name: Chi, Mingmin creators_name: Zhang, Peiwu creators_name: Zhao, Yingbin creators_name: Feng, Rui creators_name: Xue, Xiangyang type: conference_item datestamp: 2009-04-06 19:14:02 lastmod: 2009-04-14 04:37:12 metadata_visibility: show title: Web Image Retrieval ReRanking with Multi-view Clustering ispublished: pub full_text_status: public pres_type: poster abstract: General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search engine. Usually, the user queries are quite ambiguous and the returned results are not well-organized as the ranking often done by the popularity of an image. In order to address these problems, we propose to use both textual and visual contents of retrieved images to reRank web retrieved results. In particular, a machine learning technique, a multi-view clustering algorithm is proposed to reorganize the original results provided by the text-based search engine. Preliminary results validate the effectiveness of the proposed framework. date: 2009-04 pagerange: 1189-1189 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Chi, Mingmin and Zhang, Peiwu and Zhao, Yingbin and Feng, Rui and Xue, Xiangyang (2009) Web Image Retrieval ReRanking with Multi-view Clustering. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/175/1/p1189.pdf