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Abstract: It will create the problem of great degradation in video quality, when the digital video is compressed by using lossy video compression algorithm more than once. That will reduce the rate of reusing the digital video. Thus a new lossless video compression algorithm has been proposed. This algorithm features in: (1) an improved context-tree based arithmetic coding is proposed to compress the residual frame after motion compensation, and(2) macro-block based motion estimation and compensation method is optimized to improve the compression ratio of lossless video compression algorithm, with consideration to the improved arithmetic coding. When using JPEG-LS and CALIC, the existing state-of-the-art in lossless compression of still images, to encode those motion-compensated error-frames or residue frames to formulate benchmarks, the experiments illustrate that the proposed algorithm outperforms JPEG-LS by up to 23.3%, and CALIC by up to 19.3%.