DocumentCode :
177643
Title :
Stereoscopic image retargeting based on 3D saliency detection
Author :
Junle Wang ; Yuming Fang ; Narwaria, Manish ; Weisi Lin ; Le Callet, Patrick
Author_Institution :
Polytech Nantes, Univ. de Nantes, Nantes, France
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
669
Lastpage :
673
Abstract :
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.
Keywords :
feature extraction; stereo image processing; visual perception; 2D visual feature detection; 3D visual attention; 3D visual saliency detection; depth feature detection; geometrically consistent seam carving; stereo image pair; stereo vision; stereoscopic image retargeting; Computational modeling; Feature extraction; Observers; Solid modeling; Stereo image processing; Three-dimensional displays; Visualization; Visual attention; eye-tracking; image retargeting; saliency detection; stereoscopic 3D;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6853680
Filename :
6853680
Link To Document :
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