使用自适应预测的无损视频序列压缩
Lossless video sequence compression using adaptive prediction.
作者信息
Li Ying, Sayood Khalid
机构信息
Department of Electrical Engineering, University of Nebraska, Lincoln, NE 68588-0551, USA.
出版信息
IEEE Trans Image Process. 2007 Apr;16(4):997-1007. doi: 10.1109/tip.2006.891336.
We present an adaptive lossless video compression algorithm based on predictive coding. The proposed algorithm exploits temporal, spatial, and spectral redundancies in a backward adaptive fashion with extremely low side information. The computational complexity is further reduced by using a caching strategy. We also study the relationship between the operational domain for the coder (wavelet or spatial) and the amount of temporal and spatial redundancy in the sequence being encoded. Experimental results show that the proposed scheme provides significant improvements in compression efficiencies.
我们提出了一种基于预测编码的自适应无损视频压缩算法。该算法以极低的辅助信息，通过反向自适应方式利用时间、空间和频谱冗余。通过使用缓存策略进一步降低了计算复杂度。我们还研究了编码器的操作域（小波或空间）与被编码序列中的时间和空间冗余量之间的关系。实验结果表明，所提出的方案在压缩效率方面有显著提高。
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