Liu Pengyu, Jia Kebin
School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China.
ScientificWorldJournal. 2014;2014:727943. doi: 10.1155/2014/727943. Epub 2014 May 13.
Different visual perception characteristic saliencies are the key to constitute the low-complexity video coding framework. A hierarchical video coding scheme based on human visual systems (HVS) is proposed in this paper. The proposed scheme uses a joint video coding framework consisting of visual perception analysis layer (VPAL) and video coding layer (VCL). In VPAL, effective visual perception characteristics detection algorithm is proposed to achieve visual region of interest (VROI) based on the correlation between coding information (such as motion vector, prediction mode, etc.) and visual attention. Then, the interest priority setting for VROI according to visual perception characteristics is completed. In VCL, the optional encoding method is developed utilizing the visual interested priority setting results from VPAL. As a result, the proposed scheme achieves information reuse and complementary between visual perception analysis and video coding. Experimental results show that the proposed hierarchical video coding scheme effectively alleviates the contradiction between complexity and accuracy. Compared with H.264/AVC (JM17.0), the proposed scheme reduces 80% video coding time approximately and maintains a good video image quality as well. It improves video coding performance significantly.
不同的视觉感知特征显著性是构成低复杂度视频编码框架的关键。本文提出了一种基于人类视觉系统（HVS）的分层视频编码方案。该方案采用了由视觉感知分析层（VPAL）和视频编码层（VCL）组成的联合视频编码框架。在VPAL中，基于编码信息（如运动矢量、预测模式等）与视觉注意力之间的相关性，提出了有效的视觉感知特征检测算法，以实现感兴趣视觉区域（VROI）。然后，根据视觉感知特征完成对VROI的兴趣优先级设置。在VCL中，利用VPAL的视觉兴趣优先级设置结果开发了可选的编码方法。结果，该方案实现了视觉感知分析与视频编码之间的信息重用和互补。实验结果表明，所提出的分层视频编码方案有效地缓解了复杂度与准确性之间的矛盾。与H.264/AVC（JM17.0）相比，该方案大约减少了80%的视频编码时间，同时保持了良好的视频图像质量。它显著提高了视频编码性能。
