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Proceedings Paper

Motion-compensated filtering of reference picture for video coding
Author(s): Huiming Tang; Yujie Zhang; Chao Lu; Shenghui Lin; Lu Yu; Yunhai Liu; Libo Yang
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Paper 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.

Paper Details

Date Published: 5 August 2010
PDF: 7 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774419 (5 August 2010); doi: 10.1117/12.863465
Show Author Affiliations
Huiming Tang, Zhejiang Univ. (China)
Zhejiang Provincial Key Lab. of Information Network Technology (China)
Yujie Zhang, Zhejiang Univ. (China)
Zhejiang Provincial Key Lab. of Information Network Technology (China)
Chao Lu, Zhejiang Univ. (China)
Zhejiang Provincial Key Lab. of Information Network Technology (China)
Shenghui Lin, Zhejiang Univ. (China)
Zhejiang Provincial Key Lab. of Information Network Technology (China)
Lu Yu, Zhejiang Univ. (China)
Zhejiang Provincial Key Lab. of Information Network Technology (China)
Yunhai Liu, Zhejiang Univ. (China)
Zhejiang Provincial Key Lab. of Information Network Technology (China)
Libo Yang, China Mobile (China)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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