Video coding based on audio-visual attention
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Video image assessment with a distortion-weighing spatiotemporal visual attention model
Multimedia Tools and Applications
The Directors' cut: a solution to collaborative multimedia management
Multimedia Tools and Applications
Perceptual considerations for motion blur rendering
ACM Transactions on Applied Perception (TAP)
Efficient video coding based on audio-visual focus of attention
Journal of Visual Communication and Image Representation
A novel rate control algorithm for H.264/AVC based on human visual system
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
An attention emphasized bit arrangement in 3-D SPIHT video coding for human vision
Journal of Visual Communication and Image Representation
A novel H.264 rate control algorithm with consideration of visual attention
Multimedia Tools and Applications
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Human visual sensitivity varies with not only spatial frequencies, but moving velocities of image patterns. Moreover, the loss of visual sensitivity due to object motions might be compensated by eye movement. Removing the psychovisual redundancies in both the spatial and temporal frequency domains facilitates an efficient coder without perceptual degradation. Motivated by this, a visual measure is proposed for the purpose of video compressions. The novelty of this analysis relies on combining three visual factors altogether: the motion attention model, unconstrained eye-movement incorporated spatiovelocity visual sensitivity model, and visual masking model. For each motion-unattended macroblock, the retinal velocity is evaluated so that discrete cosine transform coefficients to which the human visual system has low sensitivity are picked up with the aid of eye movement incorporated spatiovelocity visual model. Based on masking thresholds of those low-sensitivity coefficients, a spatiotemporal distortion masking measure is determined. Accordingly, quantization parameters at macroblock level for video coding are adjusted on the basis of this measure. Experiments conducted by H.264 exhibit the effectiveness of the proposed scheme in improving coding performance without picture quality degradation