User-Oriented Approach in Spatial and Video Coding Temporal

Present scalable coding techniques focus on enhancing the quality of the whole he when more bandwidth is available. However, not all regions in a he are equally important to user perception. This paper proposed a useroriented approach to facilitate scalable coding in spatial and temporal domains. By combining user attention and foveation models, the regions of user’s focus in a he (spatial domain) or the segment of a video clip with steady saliency values (temporal domain) are prioritized as far as perceived quality is concerned.

[1]  J. Robson,et al.  Probability summation and regional variation in contrast sensitivity across the visual field , 1981, Vision Research.

[2]  S J Anderson,et al.  Peripheral spatial vision: limits imposed by optics, photoreceptors, and receptor pooling. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[3]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[4]  Wilson S. Geisler,et al.  Real-time foveated multiresolution system for low-bandwidth video communication , 1998, Electronic Imaging.

[5]  Zhou Wang,et al.  Embedded foveation image coding , 2001, IEEE Trans. Image Process..

[6]  Weiping Li,et al.  Overview of fine granularity scalability in MPEG-4 video standard , 2001, IEEE Trans. Circuits Syst. Video Technol..

[7]  Wilson S. Geisler,et al.  Visual detection following retinal damage: predictions of an inhomogeneous retino-cortical model , 1996, Photonics West.

[8]  Ja-Ling Wu,et al.  A Foveation-Based Rate Shaping Mechanism for MPEG Videos , 2002, IEEE Pacific Rim Conference on Multimedia.

[9]  Wen-Huang Cheng,et al.  A user-attention based focus detection framework and its applications , 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.