Product image search with regional evidences
文献类型：会议论文
| 作者 | Zhang, Guixuan ; Zhang, Shuwu; Zeng, Zhi; Guan, Hu; Li, Xiaoqian
|
| 出版日期 | 2017 |
| 会议日期 | 2016年12月23日-12月25日 |
| 会议地点 | 上海 |
| 关键词 | Product Image Search Bag-of-words Regional Semantic Evidences Similarity Verification |
| 英文摘要 | In 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14310]  |
| 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 | Zhang, Guixuan,Zhang, Shuwu,Zeng, Zhi,et al. Product image search with regional evidences[C]. 见:. 上海. 2016年12月23日-12月25日. |
入库方式： OAI收割
来源：自动化研究所
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