Standard deviation and intra prediction mode based adaptive spatial error concealment (SEC) in H.264/AVC

Jun Wang, Lei Wang, Takeshi Ikenaga, Satoshi Goto

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Therefore an error concealment scheme is applied at the video receiver side to mask the damaged video. Considering there are 3 types of MBs (Macro Blocks) in natural video frame, i.e., Textural MB, Edged MB, and Smooth MB, this paper proposes an adaptive spatial error concealment which can choose 3 different methods for these 3 different MBs. For criteria of choosing appropriate method, 2 factors are taken into consideration. Firstly, standard deviation of our proposed edge statistical model is exploited. Secondly, some new features of latest video compression standard H.264/AVC, i.e., intra prediction mode is also considered for criterion formulation. Compared with previous works, which are only based on deterministic measurement, proposed method achieves the best image recovery. Subjective and objective image quality evaluations in experiments confirmed this.

Original languageEnglish
Pages (from-to)2954-2962
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE91-A
Issue number10
DOIs
Publication statusPublished - 2008 Oct

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Keywords

  • Adaptives
  • Deviatation
  • Intra
  • Mode
  • Prediction
  • SEC
  • Sandard

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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