Stereoscopic image retargeting based on 3D saliency detection - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

Stereoscopic image retargeting based on 3D saliency detection

Résumé

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.
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Dates et versions

hal-01160444 , version 1 (05-06-2015)

Identifiants

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Junle Wang, Yuming Fang, Manish Narwaria, Weisi Lin, Patrick Le Callet. Stereoscopic image retargeting based on 3D saliency detection. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, May 2014, Florence, Italy. pp.669 - 673, ⟨10.1109/ICASSP.2014.6853680⟩. ⟨hal-01160444⟩
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