Improvement of video coding efficiency based on sparse contractive mapping approach

Improvement of video coding efficiency based on sparse contractive mapping approach
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基于稀疏压缩映射方法的视频编码效率提升

DOI:
10.1016/j.neucom.2015.09.062
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发表时间:
2016-01
期刊:
影响因子:
6
通讯作者:
Zhao Xinyue
Zhao Xinyue
中科院分区:
计算机科学2区
文献类型:
--
作者:
He Zaixing;Ogawa Takahiro;Takahashi Sho;Haseyama Miki;Zhao Xinyue

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提出了一种基于稀疏压缩映射的视频编码方法。该方法引入了一种新的稀疏压缩映射方法,以取代传统的帧内预测的视频编码标准,如H. 264/AVC。具体地说,帧内和它的后续帧间分别近似的稀疏表示,满足压缩映射。然后,这两个帧可以重建从一个任意的初始图像,通过使用少量的代表系数。利用这一优点,所提出的方法通过去除目标I帧中的MB来减少比特的总量,其近似性能高于编码器中的其他MB。此外,通过发送被去除的MB的表示系数,这些MB可以在解码器中被准确地重构。由于重建性能优于传统方法,该方法可以从目标视频序列中删除更多的MB,并减少总的比特数是可行的。因此,该方法实现了视频编码效率的提高。一些实验结果表明,该方法的性能优于H. 264/AVC的上级。结果还表明,所提出的方法的比特节省性能与H.265/HEVC的比特节省性能相当。
This paper presents a new method for improving video coding efficiency based on a sparse contractive mapping approach. The proposed method introduces a new sparse contractive mapping approach to replace the traditional intra prediction in the video coding standards such as H.264/AVC. Specifically, the intra- and its following inter-frame are respectively approximated by the sparse representation, satisfying contractive mapping. Then these two frames can be reconstructed from an arbitrary initial image by utilizing a few representation coefficients. With this advantage, the proposed method reduces the total amount of bits by removing MBs in the target I frame, whose approximation performance is higher than the others in the encoder. Furthermore, by transmitting the representation coefficients of the removed MBs, these MBs can be accurately reconstructed in the decoder. Since the reconstruction performance is better than that of the conventional approach, the proposed method can remove more MBs from the target video sequences, and reduction of total amount of bits can be feasible. Therefore, the proposed method realizes the improvement of the video coding efficiency. Some experimental results are shown to verify the superior performance of the proposed method to that of H.264/AVC. The results also demonstrate that the bit-saving performance of the proposed method is comparable to that of H.265/HEVC.
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