Volume 6 Number 10 (Oct. 2011)
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JSW 2011 Vol.6(10): 2090-2096 ISSN: 1796-217X
doi: 10.4304/jsw.6.10.2090-2096

Bit Stream Extraction Based on Video Content Method in the Scalable Extension of H.264/AVC

Daxing Qian, Hongyu Wang, Wenzhu Sun and Kaiyan Zhu

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116023, P.R.China

Abstract—The bit stream extraction plays an important role in Scalable Video Coding (SVC). The video content is an important factor for video coding efficiency but it is ignored in current video coding methods. Therefore, in this paper, we proposed an equivalent MSE method to extract sub streams in the temporal and spatial enhancement layers. When the Motion Vectors (MVs) are large in one video, a larger frame rate is necessary to maintain the continuity of the object movement which makes no jump in visual sense. In this sense, sub streams extraction more temporal enhancement layers have to be satisfied. On the other hand, if there are some larger high-frequency components in a single frame of the video, it should try to meet the extraction requirement in spatial enhancement layer. This method has the advantage of considering the contents of the video, which can effectively improve the coding performance and quality. The experimental results demonstrate that the quality of reconstructed video has been improved significantly by using the equivalent MSE method when extracting bit stream arbitrarily at the same bandwidth.

Index Terms—SVC, bit stream extraction, base on video content, temporal-spatial frequency

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Cite: Daxing Qian, Hongyu Wang, Wenzhu Sun and Kaiyan Zhu, "Bit Stream Extraction Based on Video Content Method in the Scalable Extension of H.264/AVC," Journal of Software vol. 6, no. 10, pp. 2090-2096, 2011.

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Quarterly

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, EBSCO,
           CNKIGoogle Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: jsweditorialoffice@gmail.com

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