期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：10
出版社：S&S Publications
摘要：Web-scale image search engines often uses keywords as queries and also depends on neighbouring textto search images. These search engines entails difficulty due to the ambiguity of query keywords, since it is hard forusers to correctly depict the visual content of target images by only using keywords. Image re-ranking is an efficientway to advance the results of web-based image search, has been implemented by commercial search engines such asGoogle and Bing. A main challenge in the research of image re-ranking is that the similarities of visual features do notwell associate with semantic meanings of images which infer users’ search goal. This paper surveys various methodswhich developed recently used for image re-ranking techniques for different queries. Each method is differentiated withother surveyed method and comparative measures of methods are presented which provides the significance andlimitations of web image re-ranking techniques with correspond to query specific semantic signatures.
