Mobile product recognition

We present a mobile product recognition system for the camera-phone. By snapping a picture of a product with a camera-phone, the user can retrieve online information of the product. The product is recognized by an image-based retrieval system located on a remote server. Our database currently comprises more than one million entries, primarily products packaged in rigid boxes with printed labels, such as CDs, DVDs, and books. We extract low bit-rate descriptors from the query image and compress the location of the descriptors using location histogram coding on the cameraphone. We transmit the compressed query features, instead of a query image, to reduce the transmission delay. We use inverted index compression and fast geometric re-ranking on our database to provide a low delay image recognition response for large scale databases. Experimental timing results on different parts of the mobile product recognition system is reported in this work. Keywords mobile visual search, content-bas...

• Type: Conference
• Year: 2010
• Where: MM
• Authors: Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Ngai-Man Cheung, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
• Keywords: Low Bit-rate Descriptors, MM 2010, Mobile Product Recognition, Multimedia, Query Image