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A Novel MBAFF Scheme of AVS

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Adaptive frame/field coding techniques have been adopted in many international video standards for interlaced sequence coding. When the frame/field adaptation is applied on the picture level, the coding efficiency is improved greatly, compared with the pure frame coding or the pure field coding. The picture-level adaptive frame/field coding (PAFF) selects frame coding or field coding once for one picture. If this frame/field adaptation is extended to Macro Block (MB) level, the coding efficiency will be further increased. In this paper, a novel MB-level adaptive frame/field (MBAFF) coding scheme is proposed. In the proposed MBAFF scheme, the top field of the current picture is used as a reference. The experiments are implemented on the platforms of Audio Video coding Standard (AVS) base profile and H.264/AVC, respectively. On the AVS platform, 0.35dB gain can be achieved averagely, compared with AVS1.0 anchor. On the H.264/AVC platform, 0.16dB gain can be achieved averagely, compared with MBAFF scheme of H.264/AVC. Additionally, an extensive subjective quality enhancement can be achieved by the proposed scheme.

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Author information

Correspondence to Jian-Wen Chen.

Additional information

Supported by the National Natural Science Foundation of China (Grant Nos. 69972021 and 60333020) and SVA.

Jian-Wen Chen received the B.S. degree in information and electronics engineering from Huazhong Uni-ve-rsity of Science and Technology, in 2002 and the M.S. degree in electronics engineering from Tsing-hua University, where he is currently working toward the Ph.D. degree with research focused on fast mode decision algorithms, architecture, VLSI design of video compression and video processing systems.

Guo-Ping Li received the B.S. degree in electronics and computer engi-neering from Hubei University of Techno-logy, in 1997, the M.S. degree in information and electronics engi-neering from Dalian Uni-versity of Techno-logy, in 2000, and the Ph.D. degree in electronics engineering from Tsinghua University, in 2004. He is currently working in Central Research Academy of SVA Group. His research interests are in the area of video processing, with emphasis on techniques related to interlace video compression and multi-view video coding.

Yun He received the B.S. degree from Harbin Engineering University, China, in 1982, M.S. degree from Shanghai Jiao Tong University, China in 1984, and the Ph.D. degree from Liege University, Belgium, in 1989. She served as an associate professor in 1993–2004, and a full professor since 2004 in Electronic Eng. Dept. of Tsinghua University. Her research interests include visual signal coding, visual signal communication, video codec VLSI structure, 3D visual signal coding and presentation. She has published over 80 papers in the area of picture coding. She serves in several Technical Committees, such as: IEEE CAS-TC of Visual Signal Processing and Communications, IEEE SP-TC of Multi Media Signal Processing; PCS, and VCIP etc. She was invited as session chairs in several conferences, such as PCS, VCIP, PCM, and ISCAS. She is the general chair of the 25th PCS.

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Chen, J., Li, G. & He, Y. A Novel MBAFF Scheme of AVS. J Comput Sci Technol 21, 323–331 (2006). https://doi.org/10.1007/s11390-006-0323-2

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  • AVS
  • H.264/AVC
  • frame/field adaptation
  • PAFF
  • interlaced video coding