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.
Original language | English |
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Pages | 1371-1375 |
DOIs | |
Publication status | Published - Oct 2014 |
Event | International Conference on Image Processing - San Diego, United States Duration: 12 Oct 2008 → 15 Oct 2008 |
Conference
Conference | International Conference on Image Processing |
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Country/Territory | United States |
City | San Diego |
Period | 12/10/08 → 15/10/08 |
Profiles
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Richard Harvey
- School of Computing Sciences - Professor
Person: Research Group Member, Academic, Teaching & Research