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For membersofthe Deaf Communityin the United States, currentcommunicationtoolsincludeTTY/TTDservices, video relayservices, andtext-basedcommunication. With thegrowth of cellular technology, mobile sign language conversations are becoming a possibility. Proper coding techniques must be employedto compress American Sign Language(ASL) video for low-rate transmission while maintaining the quality of the conversation. In order to evaluate these techniques, an ap- propriate quality metric is needed. This paper demonstrates that traditional video quality metrics, such as PSNR, fail to predict subjective intelligibility scores. By considering the unique structure of ASL video, an appropriate objective met- ric is developed. Face and hand segmentation is performed using skin-color detection techniques. The distortions in the face and hand regions are optimally weighted to create an ob- jective intelligibility score for a distorted sequence. The ob- jective intelligibility metric performs significantly better than PSNR in terms of correlation with subjective responses.

"Can you see me now?" An objective metric for predicting intelligibility of compressed American Sign Language video