CASIA OpenIR  > 数字内容技术与服务研究中心  > 版权智能与文化计算
Product image search with regional evidences
Zhang, Guixuan; Zhang, Shuwu; Zeng, Zhi; Guan, Hu; Li, Xiaoqian
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
AffiliationInstitute of Automation, Chinese Academy of Sciences, Beijing, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
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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