Special Report, Americas, Travel

[rezkaesold]

To learn such function, a dataset of VSD and its associated S-VSDs are built. Experimental results show that the VSD can be accurately estimated with the weights learnt by the nonlinear mapping function once its associated S-VSDs are available. The proposed method outperforms the relevant state-of-the-art methods in both accuracy and efficiency. In recent years, 3-D video technology has been popular due to its fresh viewing experiences, e.g., special immersion, high interactivity, and large degree of freedom. The MVD records the color and depth information of the same physical scene from different views. Hence, the view synthesis distortion (VSD) estimation is crucial, especially for the 3-D video applications. The main reason for the VSD is the changes/errors in the reference texture. Depth videos due to lossy compression or transmission errors. During the view synthesis process, texture changes may cause VSD in the luminance/chrominance level, namely texture degradation. However, depth changes may cause complex geometric VSD.




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[wangiskahn2]

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