Motion-compensated filtering of reference picture for video coding

Huiming Tang; Yujie Zhang; Chao Lu; Shenghui Lin; Lu Yu; Yunhai Liu; Libo Yang

doi:10.1117/12.863465

4 August 2010 Motion-compensated filtering of reference picture for video coding

Huiming Tang, Yujie Zhang, Chao Lu, Shenghui Lin, Lu Yu, Yunhai Liu, Libo Yang

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 774419 (2010) https://doi.org/10.1117/12.863465
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

Abstract

Noisy video occurs frequently in many visual communication applications, especially in video surveillance and video phone. The noise affects compression a lot by decreasing the accuracy of prediction and increasing the residual. In this paper, we propose a novel inter-frame filtering method based on motion compensation for reference picture in video coding. It constructs the low-pass temporal filter by modulating the constructed picture with previous reference picture. As a result, it greatly reduces the noise in reference picture, which results in the improvement of compression efficiency. As the replacement of traditional reference picture, this proposed dynamical motion compensation based Synthesized Reference (SR) picture is computation efficient and easy for implementation. It can be applied to any block-based hybrid coding structure, such as H.264/AVC, AVS (Audio Video Coding Standard), MPEG-4. Simulation results show that more than 20% bit rate is reduced when applying SR picture to the encoding of typical video surveillance sequences. At the same time, the visual quality is greatly improved.

Citation Download Citation

Huiming Tang, Yujie Zhang, Chao Lu, Shenghui Lin, Lu Yu, Yunhai Liu, and Libo Yang "Motion-compensated filtering of reference picture for video coding", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774419 (4 August 2010); https://doi.org/10.1117/12.863465

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KEYWORDS

Video surveillance

Video coding

Video

Video compression

Visualization

Spatial filters

Linear filtering

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