Mobile Product Recognition
Sam S. Tsai, David Chen, Vijay Chandrasekhar
Gabriel Takacs, Ngai-Man Cheung, Bernd Girod
Department of Electrical Engineering, Stanford University
Stanford, CA 94305, U.S.A.
{sstsai, dmchen, vijayc, gtakacs, ncheung, bgirod}@stanford.edu
Ramakrishna Vedantham
Radek Grzeszczuk
Nokia Research Center
Palo Alto, CA 94305, U.S.A.
{ramakrishna.vedantham,radek.grzeszczuk}@nokia.com
ABSTRACT
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 descrip-
tors from the query image and compress the location of the
descriptors using location histogram coding on the camera-
phone. 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 re-
sults on dierent parts of the mobile product recognition
system is reported in this work.
Keywords
mobile visual search, content-based image retrieval
1. INTRODUCTION
We present a fast and scalable mobile product recognition

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