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	Region matching and similarity enhancing for image retrieval
	Guixuan Zhang; Zhi Zeng; Shuwu Zhang; Hu Guan; Qinzhen Guo
	2016
会议日期	2016年3月20日-3月25日
会议地点	上海
关键词	Matching Region Estimation Similarity Enhancing Fisher Vector Regional Clues Image Retrieval
英文摘要	Many image retrieval systems adopt the bag-of-words model and rely on matching of local descriptors. However, these descriptors of keypoints, such as SIFT, may lead to false matches, since they do not consider the contextual information of the keypoints. In this paper, we incorporate the cues of meaningful regions where local descriptors are extracted. We describe a matching region estimation (MRE) method to find appropriate matching regions for local descriptor matching pairs. Then the region matching quality is evaluated and the true matched regions will enhance the similarity of local descriptors. Consequently, the image retrieval accuracy can be improved. Extensive experiments on benchmark datasets show the effectiveness of our method and our result compares favorably with the state-of-the-art.
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/14308]
专题	数字内容技术与服务研究中心_新媒体服务与管理技术
作者单位	Institute of Automation, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Guixuan Zhang,Zhi Zeng,Shuwu Zhang,et al. Region matching and similarity enhancing for image retrieval[C]. 见:. 上海. 2016年3月20日-3月25日.

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