Complexity modeling for coarse grain scalable (CGS) video decoding

Chun Yen Yu, Wei Hsiang Chiu, Chih Hung Kuo

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper proposes a hybrid model to predict CGS-SVC decoding complexity. We take advantage of both the statistic characteristic of complexity features and linear relationship between quality layers to model the complexity. Experimental results show that the proposed method provides a good prediction accuracy for all quality layer. The whole average prediction error of test sequences is 1.51% approximately. Furthermore, the target platform can decode the suitable quality layer by our layer decision mechanism and an accurate prediction result.

Original languageEnglish
Pages42-45
Number of pages4
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 International Conference on Communications, Circuits and Systems, ICCCAS 2013 - Chengdu, China
Duration: 2013 Nov 152013 Nov 17

Other

Other2013 International Conference on Communications, Circuits and Systems, ICCCAS 2013
CountryChina
CityChengdu
Period13-11-1513-11-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture

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