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The Era of Interactive Media pp 133–144Cite as

Adaptive Search Range Methods for B Pictures Coding

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Abstract

This paper presents some adaptive search range strategies at both frame and macroblock level for B pictures coding in H.264/AVC. First, a basic frame-level search range scaling strategy is proposed based on the linear motion relationship between P and B pictures, which is only suitable for normal or low motion situation. Then, an improved frame-level adaptive search range scaling (F-ASRS) algorithm is proposed by taking full advantage of intra mode and motion vector statistics. F-ASRS algorithm can precisely detect the global motion degree and adjust the search range of next B picture in advance. The local motion is further studied according to the information of the adjacent previous coded blocks, and then a macroblock-level adaptive search range (MB-ASR) algorithm is proposed. When integrating F-ASRS with MB-ASR, the search area of B pictures can be greatly reduced without any coding performance loss.

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Notes

  1. 1.

    This work was supported in part by the Fundamental Research Funds for the Central Universities under Grant HEUCFR1017.

References

  1. M. Flierl and B. Girod, “Generalized B pictures and the draft H.264/AVC video-compression standard”, IEEE Trans. CSVT, Vol. 13, No. 7, pp. 587–597, 2003.

    Google Scholar 

  2. Z. Yang, W. Gao, and Y. Liu, “Performance-Complexity Analysis of High Resolution Video Encoder and Its Memory organization for DSP Implementation”, ICME2006, pp. 1261–1264.

    Google Scholar 

  3. M.-C. Hong, C.-W. Kim. “Further Improvement of Motion Search Range.” JVT-D117, Joint Video Team (JVT) of ISO/IEC MPEG & ITU-T VCEG, 4rd Meeting, July, 2002.

    Google Scholar 

  4. X. Xu and Y. He. “Modification of Dynamic Search Range for JVT.” JVT-Q088, Joint Video Team (JVT) of ISO/IEC MPEG & ITU-T VCEG, 17th Meeting, Oct, 2005

    Google Scholar 

  5. P. I. Hosur, “Motion adaptive search for fast motion estimation”, IEEE Trans. Consumer Electron., Vol. 49, No.4, pp. 1330–1340, Nov. 2003.

    Article  Google Scholar 

  6. T. Yamada, M. Ikekawa, and I. Kuroda, “Fast and accurate motion estimation algorithm by adaptive search range and shape selection”, ICASSP2005, Vol. 2, pp. 897–900.

    Google Scholar 

  7. J. Minocha, and N. R. Shanbhag. “A Low Power Data-Adaptive Motion Estimation Algorithm.” IEEE 3rd Workshop on Multimedia Signal Processing. 1999, pp. 685–690.

    Google Scholar 

  8. S. Saponara, and L. Fanucci. “Data-Adaptive Motion Estimation Algorithm and VLSI Architecture Design for Low-Power Video Systems.” IEE Computers and Digital Techniques, Vol. 151, No. 1, pp. 51–59, 2004.

    Article  Google Scholar 

  9. Z. Yang, W. Gao, Y. Liu, and D. Zhao, “Adaptive Search Range Scaling for B Pictures Coding.” PCM2006, LNCS 4261, pp. 704–713.

    Google Scholar 

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Authors and Affiliations

  1. College of Information and Communication, Harbin Engineering University, Harbin, 150001, China

    Zhigang Yang

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  1. Zhigang Yang
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Correspondence to Zhigang Yang .

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© 2013 Springer Science+Business Media, LLC

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Cite this paper

Yang, Z. (2013). Adaptive Search Range Methods for B Pictures Coding. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_12

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  • DOI: https://doi.org/10.1007/978-1-4614-3501-3_12

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-3500-6

  • Online ISBN: 978-1-4614-3501-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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