Content-Based Scalable Multi-View Video Coding Using 4D Wavelet

Y. Lai, Qian Wang, Yin Gao
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引用次数: 1

Abstract

Most existing scalable multi-view video coding (SMVC) can provide temporal, spatial, SNR as well as view scalabilities, but not support content scalability. In this paper, a region of interest (ROI) coding is developed for scalable multi-view video codec to show the high scaling capability in terms of content scalability. The key component of this algorithm is that the bit-planes of the ROI can be lifted according to users’ requirements. And in this way the ROI can be allocated more bits even at low bit-rate and can secure more bits to get a better visual quality. As a result of our experiments, the peak signal to noise ratio (PSNR) within ROI can be improved by 2~4dB and the subjective visual quality of ROI in the proposed scheme can be improved compared to the conventional SMVC algorithm.
基于内容的可扩展多视点视频编码使用4D小波
现有的可扩展多视图视频编码(SMVC)可以提供时间、空间、信噪比和视图的可扩展性,但不支持内容的可扩展性。本文针对可扩展的多视点视频编解码器,提出了一种感兴趣区域(ROI)编码,在内容可扩展性方面具有较高的可扩展性。该算法的关键部分是可以根据用户的要求对ROI的位平面进行提升。这样,即使在低比特率的情况下,ROI也可以分配更多的比特,从而获得更好的视觉质量。实验结果表明,与传统的SMVC算法相比,该方案可将ROI内的峰值信噪比(PSNR)提高2~4dB,提高ROI的主观视觉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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