%0 Journal Article
%T Query Dependent Visual Similarity in Image Search Reranking<br>图像重排序中与查询相关的图像相似性度量
%A WANG Li
%A SHUAI Jian-Mei
%A <br>王黎
%A 帅建梅
%J 计算机系统应用
%D 2010
%I 
%X Recently image search engines mainly base on associated textual information. Image reranking is an effective approach to refine the initial text-based search result by mining the visual information of the returned images. And the estimation of visual similarity is the fundamental factor in reranking methods. However, the existing similarity measures are independent of the query. This paper proposes a query dependent method by incorporating the global visual similarity, local visual similarity and visual word co-occurrence into an iterative propagation framework. Then it embed the query dependent similarity into random walk rereanking method. The experiments on a collected Live Image dataset demonstrate that the proposed query dependent similarity outperforms the global, local similarity and their linear combination.
%K image reranking
%K query dependent visual similarity
%K visual words co-occurrence<br>图像重排序
%K 与查询相关的图像相似性
%K 视觉单词同时出现率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=8E47DB5C4209614E50DF8DD01350EFA4&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=708DD6B15D2464E8&sid=5C3443B19473A746&eid=09ABD5535D9B6D45&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=16