A complexity scalable H.264 decoder with downsizing capability for mobile devices

Hyeong Min Nam, Jae Yun Jeong, Keun Yung Byun, Jong-Ok Kim, Sung-Jea Ko

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

It is significantly challenging to playback H.264 compressed video in real time on mobile devices with limited computing power. In this paper, we propose a complexity scalable H.264/AVC decoding algorithm with a downsizing capability, which can offer the complexity scalability by directly decoding the compressed video at a downsized resolution. In the proposed method, the predicted and residual signal can be generated in a downsized resolution by modifying the motion compensation (MC) and the inverse discrete cosine transform (IDCT). As a result, the computational decoding load can be significantly reduced. Moreover, the proposed H.264 decoder can achieve the complexity scalability by adaptively discarding (or simplifying) redundant computations which have larger complexity but less effect on the video quality. Experimental results show that the decoding complexity can be reduced up to 43%, as compared to the conventional H.264/AVC decoder, while maintaining the acceptable video quality.

Original languageEnglish
Article number5506035
Pages (from-to)1025-1033
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume56
Issue number2
DOIs
Publication statusPublished - 2010 May 1

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Mobile devices
Decoding
Scalability
Motion compensation
Discrete cosine transforms

Keywords

  • decoding complexity scalability
  • downscaling
  • H.264/AVC decoder
  • inverse transform
  • motion compensation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology

Cite this

A complexity scalable H.264 decoder with downsizing capability for mobile devices. / Nam, Hyeong Min; Jeong, Jae Yun; Byun, Keun Yung; Kim, Jong-Ok; Ko, Sung-Jea.

In: IEEE Transactions on Consumer Electronics, Vol. 56, No. 2, 5506035, 01.05.2010, p. 1025-1033.

Research output: Contribution to journalArticle

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