Region matching and similarity enhancing for image retrieval | |
Guixuan Zhang; Zhi Zeng; Shuwu Zhang; Hu Guan; Qinzhen Guo | |
2016 | |
会议名称 | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
会议日期 | 2016年3月20日-3月25日 |
会议地点 | 上海 |
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. |
关键词 | Matching Region Estimation Similarity Enhancing Fisher Vector Regional Clues Image Retrieval |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14308 |
专题 | 数字内容技术与服务研究中心_版权智能与文化计算 |
作者单位 | Institute of Automation, Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
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],2016. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
REGION MATCHING AND (1096KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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