On Visual Clothing Search

Clothes products contain many characteristics which are difficult to describe in keywords, such as texture, shape, or the relationship between object and space. Based on this issue, we develop an image-based visual clothing retrieval system, which extracts and uses the features of clothing images to find objects that are difficult to describe by text, or without text annotations. We integrate techniques from image processing and information retrieval, and develop our retrieval system which provides region-of-interest visual search. Experiment on an image database with about 1891 clothing images shows that our approach is effective and efficient.