Clustering-Based Retrieval of Similar Outfits Based on Clothes Visual Characteristics

The fashion domain has been one of the most growing areas of e-commerce, hence the issue of facilitating cloth searching in fashionrelated websites becomes an important topic of research. The paper deals with searching for similar outfits in the clothing images database, using information extracted from unconstrained images containing human silhouettes. Medoids-based clustering is introduced in order to detect groups of similar outfits and speed up the retrieval procedure. Exemplary results of experiments performed on real clothing datasets are presented.