MM '09 Proceedings of the 17th ACM international conference on Multimedia
Spatio-temporal just noticeable distortion profile for grey scale image/video in DCT domain
IEEE Transactions on Circuits and Systems for Video Technology
Region-of-interest based dynamical parameter allocation for H.264/AVC encoder
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Adaptive Block-Size Transform Based Just-Noticeable Difference Profile for Images
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Objective video quality assessment for tracking moving objects from video sequences
ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation
Modeling the masking effect of the human visual system with visual attention model
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
A comparative study on attention-based rate adaptation for scalable video coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Stereoscopic visual attention-based regional bit allocation optimization for multiview video coding
EURASIP Journal on Advances in Signal Processing
Bottom-up saliency detection model based on amplitude spectrum
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
A region-based rate-control scheme using inter-layer information for H.264/SVC
Journal of Visual Communication and Image Representation
Stereoscopic visual attention model for 3d video
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
The difference between perceived video quality and objective video quality
Journal of Visualization
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With the fast development of visual noise-shaping related applications (visual compression, error resilience, watermarking, encryption, and display), there is an increasingly significant demand on incorporating perceptual characteristics into these applications for improved performance. In this paper, a very important mechanism of the human brain, visual attention, is introduced for visual sensitivity and visual quality evaluation. Based upon the analysis, a new numerical measure for visual attention's modulatory aftereffects, perceptual quality significance map (PQSM), is proposed. To a certain extent, the PQSM reflects the processing ability of the human brain on local visual contents statistically. The PQSM is generated with the integration of local perceptual stimuli from color contrast, texture contrast, motion, as well as cognitive features (skin color and face in this study). Experimental results with subjective viewing demonstrate the performance improvement on two PQSM-modulated visual sensitivity models and two PQSM-based visual quality metrics.