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Multimedia Tools and Applications

, Volume 74, Issue 14, pp 5157–5171 | Cite as

Fast video encoding algorithm for efficient social media service

  • Kalyan Goswami
  • Byung-Gyu Kim
  • Jeong-Bae Lee
  • Dong-San Jun
  • Jin Soo Choi
Article

Abstract

The Semantic Web, or web 3.0, is driving the evolution of internet by enabling more interaction with users of multimedia data. ITU-T/VCEG and ISO/IEC MPEG have recently completed a new joint standardization activity on video coding, called High Efficiency Video Coding (HEVC). In order to achieve the promise of Semantic Web, HEVC needs to provide good video data quality to end user in real time. This new standard contains significant improvements in picture quality for high resolution video. Main challange in this standard is the required computational time. In this paper, a novel early skip detection technique to reduce the encoder time is proposed based on statistical modeling. The proposed method was implemented on HM 7.0 reference software and experimental results show that the technique provides superior results for time reduction with only a marginal quality loss with all fast options set to “ON”.

Keywords

Early skip HEVC Fast mode decision Social media Adaptive thresholding 

Notes

Acknowledgement

This research was supported by the KCC (Korea Communications Commission), Korea, under the ETRI R&D support program supervised by the KCA (Korea Communications Agency) (KCA-2012-11921-02001).

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Kalyan Goswami
    • 1
  • Byung-Gyu Kim
    • 1
  • Jeong-Bae Lee
    • 1
  • Dong-San Jun
    • 2
  • Jin Soo Choi
    • 2
  1. 1.Department of Computer EngineeringSunMoon UniversityAsanRepublic of Korea
  2. 2.Visual Media Research Lab.ETRIDaejeonRepublic of Korea

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