Candidate motion vectors for error concealment of video signals

Y. G. Kim, Y. Choe

Research output: Contribution to journalLetterpeer-review

1 Citation (Scopus)

Abstract

The performance of conventional error concealment (EC) is significantly affected by the method of selecting candidate motion vectors (MVs). In order to obtain more robust EC results, this letter proposes a new and efficient way to choose candidate MVs. The proposed approach systematically utilizes available neighboring MVs by exploiting a well-known spatiotemporal correlation of block MVs. Through extensive simulations with H.263, this letter demonstrates that the proposed candidate MVs provide superior concealed video quality in comparison to the best results of other existing techniques.

Original languageEnglish
Pages (from-to)427-431
Number of pages5
JournalIEICE Transactions on Information and Systems
VolumeE84-D
Issue number3
Publication statusPublished - 2001 Mar

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Candidate motion vectors for error concealment of video signals'. Together they form a unique fingerprint.

Cite this