A JND Guided Foveation Video Coding

Authors:
Erli Zhang;Debin Zhao;Yongbing Zhang;Hongbin Liu;Siwei Ma;Ronggang Wang
Affiliations:
Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China 150001;Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China 150001;Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China 150001;Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China 150001;Peking University, P. R China 100872;France Telecom R&D Beijing Co. Ltd,
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

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Abstract

This paper presents a novel just noticeable distortion (JND) guided foveation video coding method, by which the foveation region can be adaptively selected according to the video content. In the proposed method, two factors are taken into account: first, we set a fixed foveation and then get the cut-off frequency for every macroblock. Second, we compute the JND values for each pixel in the frame to be encoded, and then use the JND variance of each macroblock to tune the corresponding cut-off frequency. The method presented can be implemented without any modification of the decoder and is compatible with all the existed coding standards. Based on the proposed mode, a framework of preprocessing is brought forward. And experimental results have demonstrated that foveated pictures with higher perceptual quality could be obtained, compared with traditional foveation model.