A fuzzy rate controller for variable bit rate video using foveated just-noticeable distortion model

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• 作者：Mehdi Rezaei ; Effat Karimghasemi
• 关键词：Bit rate ; Control ; FNJD ; Fuzzy ; Human visual system (HVS) ; H.264/AVC standard ; Variable ; Video coding
• 刊名：Multimedia Tools and Applications
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：76
• 期：1
• 页码：1439-1453
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems;
• 出版者：Springer US
• ISSN：1573-7721
• 卷排序：76

文摘

In this paper, a rate control algorithm for variable bit rate video applications with buffer constraint is proposed. The proposed algorithm utilizes a fuzzy rate controller and a perceptual quality controller. The fuzzy controller computes a base quantization parameter (QP) for each video picture to provide the buffer constraint. Then, the perceptual quality controller uses a human visual system (HVS) model namely foveated just-noticeable distortion (FJND) model to improve the perceptual quality of encoded video by modulating the QP of macroblocks around the picture QP. The proposed rate control algorithm has been implemented on the JM H.264/AVC reference software and obtained experimental results show that it can produce encoded videos with high perceptual quality while the buffering constraint is strongly obeyed.