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

Abstract

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.