DocumentCode
248175
Title
Resolution limits on visual speech recognition
Author
Bear, Helen L. ; Harvey, Richard ; Theobald, Barry-John ; Yuxuan Lan
Author_Institution
Sch. of Comput. Sci., Univ. of East Anglia, Norwich, UK
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
1371
Lastpage
1375
Abstract
Visual-only speech recognition is dependent upon a number of factors that can be difficult to control, such as: lighting; identity; motion; emotion and expression. But some factors, such as video resolution are controllable, so it is surprising that there is not yet a systematic study of the effect of resolution on lip-reading. Here we use a new data set, the Rosetta Raven data, to train and test recognizers so we can measure the affect of video resolution on recognition accuracy. We conclude that, contrary to common practice, resolution need not be that great for automatic lip-reading. However it is highly unlikely that automatic lip-reading can work reliably when the distance between the bottom of the lower lip and the top of the upper lip is less than four pixels at rest.
Keywords
image recognition; image resolution; speech recognition; video signal processing; Rosetta Raven data; automatic lip-reading; lip reading; resolution limits; video resolution; visual speech recognition; Accuracy; Active appearance model; Face; Hidden Markov models; Lips; Shape; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025274
Filename
7025274
Link To Document