Time-compression: systems concerns, usage, and benefits
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Sharp or smooth?: comparing the effects of quantization vs. frame rate for streamed video
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MobileASL:: intelligibility of sign language video as constrained by mobile phone technology
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
A web-based user survey for evaluating power saving strategies for deaf users of mobileASL
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
The aligned rank transform for nonparametric factorial analyses using only anova procedures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluating quality and comprehension of real-time sign language video on mobile phones
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Perceptual Temporal Quality Metric for Compressed Video
IEEE Transactions on Multimedia
Review of Low Frame Rate Effects on Human Performance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
A Computational Intelligibility Model for Assessment and Compression of American Sign Language Video
IEEE Transactions on Image Processing
Hi-index | 0.00 |
Mobile sign language video conversations can become unintelligible due to high video transmission rates causing network congestion and delayed video. In an effort to understand how much sign language video quality can be sacrificed, we evaluated the perceived lower limits of intelligible sign language video transmitted at four low frame rates (1, 5, 10, and 15 frames per second [fps]) and four low fixed bitrates (15, 30, 60, and 120 kilobits per second [kbps]). We discovered an "intelligibility ceiling effect," where increasing the frame rate above 10 fps decreased perceived intelligibility, and increasing the bitrate above 60 kbps produced diminishing returns. Additional findings suggest that relaxing the recommended international video transmission rate, 25 fps at 100 kbps or higher, would still provide intelligible content while considering network resources and bandwidth consumption. As part of this work, we developed the Human Signal Intelligibility Model, a new conceptual model useful for informing evaluations of video intelligibility.