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Adaptive video encoding and transmission key technology research

Author: LiuMeng
Tutor: LiHouQiang
School: University of Science and Technology of China
Course: Signal and Information Processing
Keywords: Video adaptation H.264/AVC Scalable Video Coding Rate Control Game Theory ρ-domain
CLC: TN919.81
Type: Master's thesis
Year: 2011
Downloads: 45
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Abstract


With the fast development of multimedia and network techniques, multimedia application has been required in a large number of environments and scenes. Different video coding standards have been finalized to accommodate with different application. However, as the explosion of challenging problems in media applications over heterogeneous networks, different devices and diversified end-users, there are different problems in video applications. Therefore, video adapation have raised the attention of publics and researchers in the recent years.Our research focused on rate control techniques in video adaptation. We want to develop different rate control scheme for video adaptation techniques in order to solve the problems of Universal Multimedia Access and accommodate with the requirements of different enviroments. The main contents and novelties of our work are as follows:1. This thesis proposes a novel low complexity yet very efficient rate control algorithm for Scalable Video Coding (SVC) based on theρ-domain model.Compared with the conventionalρ-domain model in determining quantization parameter, the proposed algorithm adopts a new linear model to obtain the quantization parameter at frame-level. This linear model is able to characterize the relationship between the percentage of zero among quantized coefficients and the quantization step. Since this model considers the Mean Absolute Difference (MAD) of each frame, individual frame only needs to be encoded once to control the bit-rate. In particular, the model parameter in theρ-domain model can be adaptively estimated by utilizing either temporal or inter-layer information.2. This thesis proposes 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.3. This thesis proposes a new joint rate control scheme for multiple video streams based on game theoryWe achieve a fair rate allocation in video quality between different sequences by Nash Bargaining theory under the constraints of buffer and bandwidth. Also, by grouping all the different sequences’frames within the same timeslot into a coalition, we can avoid the fluctuation in a sequence by bargaining between current coalition and remaining coalitions.Plenty experiments are conducted to verify that the proposed video adaptation operations in real-time applications. The results demonstrate the effectiveness of our rate control methods for different video adaptation applications.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Image communication, multimedia communication > Image coding
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