• DocumentCode
    3362169
  • Title

    Efficient spatial scalability algorithm for H.264/SVC encoders

  • Author

    Bharanitharan, K.

  • Author_Institution
    Dept. of Electr. Eng., Feng Chia Univ., Taichung, Taiwan
  • fYear
    2012
  • fDate
    12-15 Dec. 2012
  • Abstract
    As a scalable extension to the state-of-the-art H.264/AVC video coding standard, Scalable Video Coding (SVC) provides support for multiple display resolutions within a single compressed bit stream (or in hierarchically related bit streams). Similar to H.262 · MPEG-2 Video and MPEG-4 Visual, H.264/scalable video coding (SVC) supports spatial scalable coding, which can be obtained by up-scaling the image sequences with lower resolution. Since the performance of up-scaling technique directly affect the video quality. In order to improve the video quality with an effective up-sampling method, we propose an efficient scalability algorithm (ESA) for H.264/SVC in spatial scalability which uses directional filtering and Linear Minimum Mean Square Estimation (LMMSE). The experimental results confirm that the performance of the proposed method is better than that of the existing H.264/Scalable Video Coding standard.
  • Keywords
    image sequences; mean square error methods; video coding; H.262·MPEG-2 video; H.264-AVC video coding standard; H.264-SVC encoders; LMMSE; MPEG-4 visual; directional filtering; hierarchically related bit streams; image sequences; linear minimum mean square estimation; multiple display resolutions; scalable video coding; single compressed bit stream; spatial scalability; Image coding; Image resolution; Prediction algorithms; Standards; Static VAr compensators; Streaming media; Transform coding; AVC; LMMSE; edge detection; scalable video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2012 IEEE International Symposium on
  • Conference_Location
    Ho Chi Minh City
  • Print_ISBN
    978-1-4673-5604-6
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2012.6621293
  • Filename
    6621293