COMPARISON OF LOCAL FEATURE DESCRIPTORS FOR MOBILE VISUAL SEARCH

被引:16
作者
Chandrasekhar, Vijay [1 ]
Chen, David M. [1 ]
Lin, Andy [1 ]
Takacs, Gabriel [1 ]
Tsai, Sam S. [1 ]
Cheung, Ngai-Man [1 ]
Reznik, Yuriy [2 ]
Grzeszczuk, Radek [3 ]
Girod, Bernd [1 ]
机构
[1] Stanford Univ, Informat Syst Lab, Stanford, CA 94305 USA
[2] Qualcomm Inc, San Diego, CA 92121 USA
[3] Nokia Res Ctr, Palo Alto, CA 94304 USA
来源
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词
MPEG-7 Image Signature; feature descriptor; mobile visual search; image signature;
D O I
10.1109/ICIP.2010.5649937
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile visual search applications. We observe that SIFT and CHoG outperform MPEG-7 image signatures greatly in terms of feature-level Receiver Operating Characteristic (ROC) performance and image-level matching. Moreover, CHoG descriptors demonstrate such gains while being comparable with MPEG-7 image signatures in bit-rate.
引用
收藏
页码:3885 / 3888
页数:4
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