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http://dx.doi.org/10.5909/JBE.2013.18.2.319

Gradual Block-based Efficient Lossy Location Coding for Image Retrieval  

Choi, Gyeongmin (Department of Computer Engineering, Sejong University)
Jung, Hyunil (Department of Computer Engineering, Sejong University)
Kim, Haekwang (Department of Computer Engineering, Sejong University)
Publication Information
Journal of Broadcast Engineering / v.18, no.2, 2013 , pp. 319-322 More about this Journal
Abstract
Image retrieval research activity has moved its focus from global descriptors to local descriptors of feature point such as SIFT. MPEG is Currently working on standardization of effective coding of location and local descriptors of feature point in the context mobile based image search driven application in the name of MPEG-7 CDVS (Compact Descriptor for Visual Search). The extracted feature points consist of two parts, location information and Descriptor. For efficient image retrieval, we proposed a novel method that is gradual block-based efficient lossy location coding to compress location information according to distribution in images. From experimental result, the number of average bits per feature point reduce 5~6% and the accuracy rate keep compared to state of the art TM 3.0.
Keywords
MPEG-7 CDVS; image retrieval; Lossy location coding; Gradual block-based;
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  • Reference
1 Yuri Reznik. Compact Descriptors for Visual Search: Applications and Use Scenarios Requirements Subgroup.MPEG N11529. 2010.
2 ISO/MPEG N4320, MPEG-7 Requirements Document, v 15, F. Pereira, ed., MPEG Requirements Group, Sydney, July 2001.
3 D. Lowe, Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110,November 2004.   DOI   ScienceOn
4 H. Bay, T. Tuytelaars, and L. V. Gool, "SURF:speeded up robust features," in European Conferenceon Computer Vision, Graz, Austria, May 2006, pp.404-417.
5 S. Tsai, D. Chen, G. Takacs, V. Chandrasekhar, J. P. Singh, and B. Girod, "Location Coding for Mobile Image Retrieval," in Proc. International Mobile Multimedia Communications Conference, Sept. 2009.
6 ISO/IEC JTC1/SC29/WG11/M24758, "Improvements to location coding : Reponse to CE3 - Feature Point Location Coding", Geneva, CH, April 2012
7 ISO/IEC JTC1/SC29/WG11/M24782, "Peking University's Response to the CDVS Core Experiment 3", Geneva, CH, April 2012
8 ISO/IEC JTC1/SC29/WG11/M24802, "Huawei's response to CDVS Core Experiment 3", Geneva, CH, April 2012
9 ISO/IEC JTC1/SC29/WG11/W12929, "Test Model 3: Compact Descriptors for Visual Search," Stockholm, SE, Jul. 2012.