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

页码：3885 / 3888

页数：4

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