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Adaptive Predictive and Bi-predictive Eigenspace Approach for Video Coding

机译:用于视频编码的自适应预测和双预测特征空间方法

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In this paper, a video coding method which is based on the adaptive eigenspace introduces. The eigenspace is updated to adopt into the changing scenes in the video sequence. The method encodes the video frames by using the eigenspace which is generated by incorporating the original whole frames as well as the predicted and bi-predicted frames. Two alternative approaches have been proposed. The first approach, which uses the past frames to generate the adaptive eigenspace, is referred to as the predictive adaptive video coding (P-AVC) and uses a PSNR based threshold to regulate the quality of the coded frame. The second approach, which is referred to as the bi-directional predictive adaptive video coding (BP-AVC), uses both past and future frames for updating the eigenspace and also employs a PSNR based threshold to regulate the video quality. The visual and quantitative results show that BP-AVC outperforms P-AVC approach. Furthermore, when compared with H.264 AVC, the BP-AVC and P-AVC methods generate superior or competitive bit rate performance for the tested benchmark video sequences.
机译:本文介绍了一种基于自适应特征空间的视频编码方法。本征空间被更新以适应视频序列中不断变化的场景。该方法通过使用特征空间对视频帧进行编码,该特征空间是通过合并原始整个帧以及预测帧和双向预测帧而生成的。已经提出了两种替代方法。使用过去的帧来生成自适应本征空间的第一种方法称为预测自适应视频编码(P-AVC),并使用基于PSNR的阈值来调节编码帧的质量。第二种方法称为双向预测自适应视频编码(BP-AVC),它使用过去和将来的帧来更新特征空间,并且还使用基于PSNR的阈值来调节视频质量。视觉和定量结果表明BP-AVC优于P-AVC方法。此外,与H.264 AVC相比,BP-AVC和P-AVC方法为测试的基准视频序列产生了更高或更具竞争力的比特率性能。

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