Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments
ACM Transactions on Graphics (TOG)
The MPEG-4 Book
Visual sensitivity guided bit allocation for video coding
IEEE Transactions on Multimedia
IEEE Journal on Selected Areas in Communications
Foveation scalable video coding with automatic fixation selection
IEEE Transactions on Image Processing
Automatic foveation for video compression using a neurobiological model of visual attention
IEEE Transactions on Image Processing
Classified perceptual coding with adaptive quantization
IEEE Transactions on Circuits and Systems for Video Technology
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A visual measure for the purpose of video compressions is proposed in this paper. The novelty of the proposed scheme relies on combining three human perception models: motion attention model, eye movement based spatiotemporal visual sensitivity function, and visual masking model. With the aid of spatiotemporal visual sensitivity function, the visual sensitivities to DCT coefficients on less attended macroblocks are evaluated. The spatiotemporal distortion masking measures at macroblock level are then estimated based on the visual masking thresholds of the DCT coefficients with low sensitivities. Accordingly, macroblocks that can hide more distortions are assigned larger quantization parameters. Experiments conducted on the basis of H.264 demonstrate that this scheme effectively improves coding efficiency without picture quality degradation.