Low latency image retrieval with progressive transmission of CHoG descriptors

Authors:
Vijay R. Chandrasekhar;Sam S. Tsai;Gabriel Takacs;David M. Chen;Ngai-Man Cheung;Yuriy Reznik;Ramakrishna Vedantham;Radek Grzeszczuk;Bernd Girod
Affiliations:
Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Qualcomm, Inc, San Diego, CA, USA;Nokia Research Center, Palo Alto, Palo Alto, CA, USA;Nokia Research Center, Palo Alto, Palo Alto, CA, USA;Stanford University, Stanford, CA, USA
Venue:
Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Year:
2010

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Abstract

To reduce network latency for mobile visual search, we propose schemes for progressive transmission of Compressed Histogram of Gradients (CHoG) descriptors. Progressive transmission reduces the amount of transmitted data and enables early termination on the server, thus reducing end-to-end system latency. With progressive transmission of CHoG descriptors, we are able to reduce network latency to ~1 second in a 3G network. We report a 4× decrease in end-to-end system latency compared to transmitting uncompressed SIFT descriptors or JPEG images.