Fast Intra-Prediction Model Selection for H.264 Codec

Chang Sung Kim, Qing Li, C. C.Jay Kuo

Research output: Journal article publicationConference articleAcademic researchpeer-review

19 Citations (Scopus)

Abstract

We investigate the encoding speed improvement for H.264 with a special focus on fast intra-prediction mode selection in this work. It is possible to adopt the rate-distortion (RD) optimized mode in H.264 to maximize the coding gain at the cost of a very high computational complexity. To reduce the complexity associated with the intra-prediction mode selection, we propose a two-step fast algorithm. In the first step, we make a course-level decision to split all possible candidate modes into two groups: the group to be examined further and the group to be ignored. The sizes of these two groups are adaptively determined based on the block activities. Then, in the second step, we focus on the group of interest, and consider an RD model for final decision-making. It is demonstrated by experiment results that the proposed scheme performs 5 to 7 time faster than the current H.264 encoder (JM5.0c) with little degradation in the coding gain.

Original languageEnglish
Pages (from-to)99-110
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5241
DOIs
Publication statusPublished - 1 Dec 2003
Externally publishedYes
EventMultimedia Systems and Applications VI - Orlando, FL, United States
Duration: 8 Sep 20039 Sep 2003

Keywords

  • Encoder complexity
  • H.264/JVT
  • Intra mode decision
  • Intra prediction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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