Visual search engine for product images
Xiaofan Lin, Burak Göktürk, Baris Sumengen, Diem Vu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Nowadays there are many product comparison web sites. But most of them only use text information. This paper introduces a novel visual search engine for product images, which provides a brand-new way of visually locating products through Content-based Image Retrieval (CBIR) technology. We discusses the unique technical challenges, solutions, and experimental results in the design and implementation of this system.