Content-aware video transcoding via visual attention model analysis

Chia Hung Yeh*, Shih Meng Chen, Shiunn Jang Chern

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a frame-drop transcoding algorithm based on visual attention model is proposed for reducing the temporal resolution of a compressed video in order to fit the channel target bitrate. In the proposed method, the visual attention model is employed to measure frame complexity in order to determine whether frames should be skipped or not. Through the model analysis, we can preserve the significant frames to avoid the jerky effect. Experimental results show that the proposed method can achieve higher quality compared to the period frame skipping method.

Original languageEnglish
Title of host publicationProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
Pages429-432
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008 - Harbin, China
Duration: 2008 Aug 152008 Aug 17

Publication series

NameProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008

Conference

Conference2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
Country/TerritoryChina
CityHarbin
Period2008/08/152008/08/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Signal Processing

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