NDLI: A novel rate control algorithm of video coding based on visual perceptual characteristic

Content Provider	IEEE Xplore Digital Library
Author	Ruan Ruolin Hu Ruimin Li Zhongming
Copyright Year	2011
Description	Author affiliation: National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China (Hu Ruimin) \|\| School of Electron and Information Engineering Xianning University Xianning, China (Ruan Ruolin; Li Zhongming)
Abstract	The rate control plays a very important role in video streaming applications. The current rate control scheme in the advance video coding standard H.264/AVC still results in a relatively large quality fluctuation for frame-level with higher motion activities. However, the current video coding standards remove the spatial-temporal redundancy based on the signal statistical correlation. Therefore, to reach higher compression efficiency without perceptually degrading of the reconstructed video signal, the properties of the human visual system need to be better exploited. Research effort has been dedicated to modeling the spatial saliency map based on the properties of HVS. The importance of video image varied with the regions, and human visual attention too varied with the importance of region of video image, so using the attention selectivity properties of the human visual system, the paper proposed video coding rate control method based human visual saliency map in H.264/AVC. For each frame, target bits are allocated through the correction of attention region size between the current frame and previous frame, and for each MB, MB's complexity are modified through the saliency and MAD value of MB. At last, the algorithm was implemented in reference software JM12.2. Simulation results showed that, comparing with traditional algorithm, the proposed reduced the coding bit rate, at the same time, and it also improved the subjective quality of reconstructed video in visual attention region.
Starting Page	843
Ending Page	846
File Size	156964
Page Count	4
File Format	PDF
ISBN	9781424497171
e-ISBN	9781424497188
DOI	10.1109/ICCSE.2011.6028769
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-03
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Saliency model Visualization Bit rate Humans Streaming media Complexity theory Resource management Visual perceptual characteristic Rate control
Content Type	Text
Resource Type	Article

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