Relevance Feedback Based Retrieval of Cloth Image with Focus on Collar Design

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.