Output details
11 - Computer Science and Informatics
Queen's University Belfast
Article title
Comparison of Image Transform-Based Features for Visual Speech Recognition in Clean and Corrupted Videos
Type
D - Journal article
Title of journal
EURASIP Journal on Image and Video Processing
Article number
810362
Volume number
2008
Issue number
-
First page of article
1
ISSN of journal
1687-5176
Year of publication
2008
URL
-
Number of additional authors
2
Additional information
<23> This paper is the first comprehensive investigation of image transform features for visual speech recognition. It shows that novel combinations of features from different transforms can provide robust performance in real-world conditions. The success of this project was a significant factor in gaining SBRI funding from TSB (the top ranked proposal out of 60 in UK) to develop a prototype system which forms the basis for a spin out company (Liopa).The associated business plan won the “digital media and software” category in the NISP 25K competition. We have also been invited to apply for phase 2 SBRI funding.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Speech, Image and Vision Systems (SIVS)
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
