Relevance Feedback Based Retrieval of Cloth Image with Focus on Collar Design
Relevance Feedback Based Retrieval of Cloth Image with Focus on Collar Design
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DOI：
10.1109/cw.2015.70
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发表时间：
2015-10
期刊：
影响因子：
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通讯作者：
Kazumi Shimizu;Wei Yang;M. Toyoura;Xiaoyang Mao
中科院分区：
文献类型：
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作者：
Kazumi Shimizu;Wei Yang;M. Toyoura;Xiaoyang Mao
虽然许多在线商店允许用户通过类别或关键字搜索服装项目，但找到首选设计的项目通常是一项耗时的任务。此外，用户通常不允许指定设计的细节。本文提出了一种新的技术，用于提取特征向量捕捉衣领设计的细节。一个原型系统的基础上，相关反馈，允许用户搜索的衣服图像与首选的衣领设计。所提出的技术的有效性已通过主题研究进行了验证。
Although many online shops allow users to search for clothing items by categories or keywords, it is usually a time consuming task to find the item of preferred design. Also users are usually not allowed to specify the details of design. This paper presents a new technology for extracting the feature vectors capturing the details of collar design. A prototype system based on relevance feedback is also developed allowing users search for cloth images with preferred collar design. The effectiveness of the proposed technique has been validated through a subject study.