Comparison of Image Transform-Based Features for Visual Speech Recognition in Clean and Corrupted Videos

We present results of a study into the performance of a variety of different image transform-based feature types for speaker-independent visual speech recognition of isolated digits. This includes the first reported use of features extracted using a discrete curvelet transform. The study will show a comparison of some methods for selecting features of each feature type and show the relative benefits of both static and dynamic visual features. The performance of the features will be tested on both clean video data and also video data corrupted in a variety of ways to assess each feature type's robustness to potential real-world conditions. One of the test conditions involves a novel form of video corruption we call jitter which simulates camera and/or head movement during recording.

Formal and informal care utilisation amongst elderly persons with visual impairment.

OBJECTIVE: To examine the determinants of formal and informal care utilisation amongst persons with age-related macular degeneration (AMD). DESIGN: Cross-sectional hospital-based study. SETTING: Hospital eye clinic in Northern Ireland. PARTICIPANTS: 284 persons aged >or=50 years. MAIN OUTCOME MEASURES: Participants were questioned about their care, living arrangements, eyesight-related ability to self-care, and eyesight-related need to be more careful whilst undertaking everyday tasks. RESULTS: The percentage of older persons receiving formal and informal care rose with the level of visual impairment. 34.9% and 37.3% of those with no visual impairment received formal and informal care, respectively, compared with 51.6% and 69.9% of those with moderate visual impairment and 55.6% and 88.9% of those with severe visual impairment. Three factors (age, best corrected distance visual acuity in the better eye and living alone) were significant predictors (p