Quality-optimised MPEG2 video data rate control using fuzzy logic techniques

Saw, Yoo-Sok; Grant, Peter R.; Hannah, John

doi:10.1049/ip-vis:19981735

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Fuzzy approaches for controlling the bit rate are presented in [9][10][11]. All these are two pass approaches.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Based Optimum Bit Allocation for Rate Control in Video Compression

Gohokar¹,

Gohokar²

2010

IETE J Res

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This paper presents an algorithm for content-based bit rate allocation for video coding in order to improve ratedistortion (R-D) performance. A fuzzy tool is developed to analyze different areas of a frame. This tool attributes a level of interest to each macroblock. It is effective for a very large range of natural pictures. Beginning with the segmentation of the original picture, a non-hierarchical fuzzy model allows combining the results of distinct criteria in order to increase the reliability of the system and provide convergence to a meaningful final result. R-D optimal rate allocation is done taking help of the fuzzy model and human visual system. The model developed is incorporated in TM5 rate control algorithm and the results are compared with the same.

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“…Fuzzy approaches for controlling the bit rate are presented in [9][10][11]. All these are two pass approaches.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Based Optimum Bit Allocation for Rate Control in Video Compression

Gohokar¹,

Gohokar²

2010

IETE J Res

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A constant-quality, single-pass VBR control for DVD recorders

Bagni

Biffi

Ramalho³

2003

IEEE Trans. Consumer Electron.

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Neuro-Fuzzy Control for MPEG Video Transmission Over Bluetooth

Kazemian

2006

IEEE Trans. Syst., Man, Cybern. C

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The application of a neuro-fuzzy (NF) controller to moving picture expert group (MPEG-2) video transmission over a Bluetooth asynchronous connectionless (ACL) is presented in this paper. MPEG variable bit rate (VBR) data sources experience unpredictability, long delay, and excessive loss, due to sudden variations in bit rate. Therefore, it is practically impossible to transmit MPEG-2 VBR video sources over a Bluetooth channel with a limited transmission speed and considerable wireless interferences without loss of data or image quality degradation. In this work, a traffic-shaping buffer is introduced before the host controller interface (HCI) of the Bluetooth protocol stack to obstruct excessive MPEG VBR data sources during the peak transmission periods. An integrated neuro-fuzzy controller monitors and reduces the burstiness of the traffic-shaper output rate to facilitate the MPEG VBR video sources to conform to the token-bucket contract before entering the Bluetooth channel. A conventional rule-based-fuzzy (RBF) controller oversees the arrival rate to the traffic-shaper to avoid saturation or starvation of the buffer. The computer simulation results demonstrate that applications of the NF and RBF schemes reduce excessive delay and data loss at the HCI as compared with conventional video transmission in Bluetooth ACL links

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Quality-optimised MPEG2 video data rate control using fuzzy logic techniques

Cited by 3 publications

References 14 publications

Fuzzy Based Optimum Bit Allocation for Rate Control in Video Compression

Fuzzy Based Optimum Bit Allocation for Rate Control in Video Compression

A constant-quality, single-pass VBR control for DVD recorders

Neuro-Fuzzy Control for MPEG Video Transmission Over Bluetooth

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