Rate control based on intermediate description
2010
Video adaptation has been proved to be an efficient technique in dealing with various constraints such as bandwidth
limitation and user requirement in multimedia applications. However, existing methods including Scalable Video Coding
and transcoding cannot get a fine performance when bandwidth constraints exist in various scenarios particularly in realtime
applications. In this paper, we propose a novel rate control scheme based on intermediate description. The proposed
scheme can provide fast rate control for narrow and time-varying transmission channel in scenarios such as video
streaming, video sharing and video on demand. In this scheme, Discrete Cosine Transform (DCT) coefficients
distribution is modeled by generalized Gaussian distribution, meanwhile the parameter information of this model is
stored as side information for rate control. With the stored parameter information, encoder and transcoder can achieve
the target bit-rate with low complexity. Furthermore, an initial Quantization Parameter (QP) determination method is
also presented to calculate a proper QP for the Instantaneous Decoding Refresh (IDR) picture. Experimental results show
that compared with JVT-G012 in H.264, the proposed rate control scheme can save more than 85% encoding time and
obtain the required bit-rate more precisely, meanwhile gains a performance improvement by 0.2dB averagely.
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