Product image search with regional evidences
Zhang, Guixuan; Zhang, Shuwu; Zeng, Zhi; Guan, Hu; Li, Xiaoqian
2017
Conference NameIEEE International Conference on Progress in Informatics and Computing
Conference Date2016年12月23日-12月25日
Conference Place上海
AbstractIn the task of product image search, the database consists of clean versions of product images, while the query photos are often captured from mobile phone cameras under uncontrolled conditions. Conventional methods usually adopt the SIFT based bag-of-words (BoW) representation of the whole query image, which suffers from the interference of background noise. To address the problem, we extract multiple candidate regions from the query image and compute the regional
similarity to database images individually. Then a verification strategy is proposed to evaluate the similarity based on regional semantic evidences. With the proposed method, we can not only improve the search accuracy, but also obtain the location of the product in the query image. Extensive experiments on two public datasets demonstrate the effectiveness of our method.
KeywordProduct Image Search Bag-of-words Regional Semantic Evidences Similarity Verification
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14310
Collection数字内容技术与服务研究中心_新媒体服务与管理技术
AffiliationInstitute of Automation, Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Zhang, Guixuan,Zhang, Shuwu,Zeng, Zhi,et al. Product image search with regional evidences[C],2017.
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