STEREOSCOPIC IMAGE RETARGETING BASED ON 3D SALIENCY DETECTION

被引：0

作者：

Wang, Junle ^{[1
,2
]}

Fang, Yuming ^{[3
]}

Narwaria, Manish ^{[1
]}

Lin, Weisi ^{[4
]}

Le Callet, Patrick ^{[1
]}

机构：

[1] Univ Nantes, LUNAM Univ, IRCCyN UMR CNRS 6597, Polytech Nantes, F-44035 Nantes, France

[2] Ars Nova Syst, Nantes, France

[3] Jiangxi Univ Finance & Econ, Sch Informat Technol, Nanchang, Jiangxi, Peoples R China

[4] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年

关键词：

Visual attention; saliency detection; image retargeting; stereoscopic; 3D; eye-tracking; DEPTH;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we propose a novel stereoscopic image retargeting algorithm based on 3D visual saliency detection. A new 3D visual attention model is designed based on 2D visual feature detection, depth feature detection and the modeling of various viewing bias in stereo vision. A geometrically consistent seam carving technique is adopted for retargeting stereo image pair. Experimental results demonstrated that both the proposed visual attention model and the proposed retargeting method outperform the state-of-the-art studies.

引用

页数：5

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