LOGO DETECTION BASED ON SPATIAL-SPECTRAL SALIENCY AND PARTIAL SPATIAL CONTEXT

被引：0

作者：

Gao, Ke ^{[1
]}

Lin, Shouxun ^{[1
]}

Zhang, Yongdong ^{[1
]}

Tang, Sheng ^{[1
]}

Zhang, Dongming ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Comp Technol, Lab Adv Comp Res, Beijing 100080, Peoples R China

来源：

ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年

关键词：

Logo detection; spatial-spectral saliency; partial spatial context;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Logo detection is important for brand advertising and surveillance applications. The central issues of this technology are fast localization and accurate matching. Based on key traits analysis of common logos, this paper presents a two-stage detection scheme based on spatial-spectral saliency (SSS) and partial spatial context (PSC). SSS speeds up logo location and avoid the impact of cluttered background. PSC filters false matching using spatial consistency of local invariant points. The integration of SSS and PSC result in faster localization and increased accuracy. Experiments on a dataset of nearly 10,000 web images containing several popular logo types are presented. The results indicate that our method is applicable and precise for different logo detection scenarios.

引用

页码：322 / 329

页数：8

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