A novel variance-based intra-frame rate control algorithm for H.264/AVC

Fu-Chuang Chen; Yi Pin Hsu

doi:10.5755/j01.itc.40.3.631

A novel variance-based intra-frame rate control algorithm for H.264/AVC

Fu-Chuang Chen^*, Yi Pin Hsu

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

To enhance image quality and retain a limited bit budget, intra-frame in the frame type selection plays a significant role in video coding systems because the frame is treated as a key frame for temporal domain reference. This paper presents an algorithm to predict accurate quantization parameters by developing variance-based distortion measurements. Firstly, the intra-frame rate control in JVT-G012 is analyzed before discussing possible drawbacks. Current algorithms includes JVT-G012 and Yan's algorithm based on mean square error metrics for intra-frame rate controls are compared to show that the proposed distortion metric is useful to estimate quantization parameters. Experimental results show that the proposed algorithm can significantly improve video quality up to 0.19 dB and 1.28 dB, compared with the algorithm JVT-G012, which is implemented in the H.264 reference software JM 15.0 and Yan's algorithm.

Original language	English
Pages (from-to)	227-235
Number of pages	9
Journal	Information Technology and Control
Volume	40
Issue number	3
DOIs	https://doi.org/10.5755/j01.itc.40.3.631
State	Published - 1 Jan 2011

Keywords

Intra-Frame
JM15.0
JVT-G012
Quantization parameter
Rate control

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10.5755/j01.itc.40.3.631

Cite this

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abstract = "To enhance image quality and retain a limited bit budget, intra-frame in the frame type selection plays a significant role in video coding systems because the frame is treated as a key frame for temporal domain reference. This paper presents an algorithm to predict accurate quantization parameters by developing variance-based distortion measurements. Firstly, the intra-frame rate control in JVT-G012 is analyzed before discussing possible drawbacks. Current algorithms includes JVT-G012 and Yan's algorithm based on mean square error metrics for intra-frame rate controls are compared to show that the proposed distortion metric is useful to estimate quantization parameters. Experimental results show that the proposed algorithm can significantly improve video quality up to 0.19 dB and 1.28 dB, compared with the algorithm JVT-G012, which is implemented in the H.264 reference software JM 15.0 and Yan's algorithm.",

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AB - To enhance image quality and retain a limited bit budget, intra-frame in the frame type selection plays a significant role in video coding systems because the frame is treated as a key frame for temporal domain reference. This paper presents an algorithm to predict accurate quantization parameters by developing variance-based distortion measurements. Firstly, the intra-frame rate control in JVT-G012 is analyzed before discussing possible drawbacks. Current algorithms includes JVT-G012 and Yan's algorithm based on mean square error metrics for intra-frame rate controls are compared to show that the proposed distortion metric is useful to estimate quantization parameters. Experimental results show that the proposed algorithm can significantly improve video quality up to 0.19 dB and 1.28 dB, compared with the algorithm JVT-G012, which is implemented in the H.264 reference software JM 15.0 and Yan's algorithm.

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A novel variance-based intra-frame rate control algorithm for H.264/AVC

Abstract

Keywords

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