Extensive analysis of feature selection for compact descriptor

被引：0

作者：

Lee, Keundong ^{[1
]}

Lee, Seungjae ^{[1
]}

Na, Sang-il ^{[1
]}

Je, Sungkwan ^{[1
]}

Oh, Weon-Geun ^{[1
]}

机构：

[1] ETRI, Creat Content Res Lab, Taejon, South Korea

来源：

PROCEEDINGS OF THE 19TH KOREA-JAPAN JOINT WORKSHOP ON FRONTIERS OF COMPUTER VISION (FCV 2013) | 2013年

关键词：

feature selection; compact descriptor; mobile visual search;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, feature selection criteria of local descriptors are examined with well-defined evaluation framework in MPEG-7 compact descriptor for visual search (CDVS) [6]. The effect of feature selection on descriptor was analyzed in compressed and uncompressed domain. Various combinations of feature characteristics such as scale and orientation of features, distance from center, and response of difference of Gaussian (DoG) [5] were examined for feature selection criterion via pair-wise matching experiments in MPEG-7 CDVS datasets.

引用

页码：53 / 57

页数：5

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