A novel motion based lip feature extraction for lip-reading

Meng Li*, Yiu Ming CHEUNG

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

20 Citations (Scopus)

Abstract

In a lip-reading system, one key issue is how to extract the visual features, which greatly impact on the lip-reading recognition accuracy and efficiency. In this paper, we propose a novel motion based visual feature representation. Compared with the existing methods, our approach focuses on the crucial part of lip movement, but not all pixels around lip contours for different utterance, and captures the motion tracks of each part. Accordingly, distinctive feature vectors are built to represent the whole lip motion process for the specified utterance, rather than the separate frame images. Experimental result shows the efficacy of the proposed approach.

Original languageEnglish
Title of host publicationProceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008
Pages361-365
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Computational Intelligence and Security, CIS 2008 - Suzhou, China
Duration: 13 Dec 200817 Dec 2008

Publication series

NameProceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008
Volume1

Conference

Conference2008 International Conference on Computational Intelligence and Security, CIS 2008
Country/TerritoryChina
CitySuzhou
Period13/12/0817/12/08

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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