Perceptual Temporal Incoherence Aware Stereo Video Retargeting

Bing Li, Chia-Wen Lin, Shan Liu, Tiejun Huang, Wen Gao, C.-C. Jay Kuo

Abstract: Stereo video retargeting aims to avoid shape and depth distortions while maintaining temporal coherence of shape and depth while resizing a stereo video to a desired size. Existing methods resort to extending stereo image retargeting schemes to stereo video retargeting by imposing temporal constraints to consistently resize all corresponding regions so as to maintain temporal coherence. However, such a direct extension often incurs conflicts among the requirements for preserving shape information and depth information and maintaining their temporal coherence, thereby failing to meet one or more of these requirements. We find that properly relaxing temporal constraints for non-paired regions at frame boundaries can effectively mitigate conflicts among depth, shape, and temporal constraints without severely degrading temporal coherence perceptually. Based on this new finding, we derive effective temporal constraints to improve the viewing experience of a 3D scene for stereo video retargeting. Accordingly, we propose an efficient grid-based implementation for our method. Experimental results show that our method achieves superior visual quality over existing methods.