This paper proposes a lightweight dynamic rate control strategy for improving the quality of video transmitted over the internet. The proposed scheme includes a feedback mechanism from the receiver to the sender with periodic updates of packet drops. This information is used by the sender to estimat
A new rate control scheme for H.263 video transmission
โ Scribed by Chi-Chang Kuo; Jin-Jang Leou
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 414 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0923-5965
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โฆ Synopsis
In some image/video applications, the variable bit rate image/video bitstream will be transmitted over a constant bit rate transmission channel, in which a channel buffer is employed. In this study, a new rate control scheme for H.263 video transmission is proposed. Three proposed techniques include: preprocessing the INTRA coded macroblock (MB) incorporated the just-noticeable-distortion (JND) concept, constructing a bit estimation model in the frequency domain (instead of the bit estimation model in the spatial domain employed in Test Model Near-term version 11 (TMN11)), and adjusting quantization parameter (QP) for each MB by a Lagrangian optimization strategy.
In the proposed approach, the target number of bits for a video frame is first obtained by using a simple rate control procedure for the frame layer. The proposed JND preprocessing is applied on all the INTRA coded MBs so that the number of coded bits for a scene changed frame will decrease, without any perceptual loss. Within the MB layer, instead of the bit estimation model in the spatial domain employed in TMN11, a bit estimation model in the frequency domain, directly depending on discrete cosine transform coefficients, is proposed. Then the Lagrange multiplier is used to determine the optimal QP for each MB. The resulting QP and number of coded bits of the current MB are fed backward to update the parameters of the bit estimation model.
Based on the simulation results obtained in this study, the proposed approach can meet the target bit rate more accurately, keep a lower channel buffer fullness (delay), and have a larger average frame rate than TMN11, whereas the peak signal-to-noise ratio value and the processing time of the proposed approach are ''approximately'' as good as that of TMN11.
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