The new generation of high efficiency video coding standard (HEVC), although remarkably improves the compression performance, it increases the computational complexity of coding for Screen Content coding (SCC). Theref...
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ISBN:
(数字)9781510622005
ISBN:
(纸本)9781510622005
The new generation of high efficiency video coding standard (HEVC), although remarkably improves the compression performance, it increases the computational complexity of coding for Screen Content coding (SCC). Therefore, how to reduce the coding complexity becomes an important task in HEVC optimization. In this work, the process of quad-tree recursive partitioning has been studied, and the relationship between the coding cost and the mother block and child block has been found in statistics way, and an improved fast early termination coding unit partition based on the cost of the coding unit has been proposed. The experiment results show that the fast algorithm proposed in this paper can save 31.37% of the encoding time at the cost of reduces the coding performance by about 1.02 %.
method for output-uniform coding of Markov sources with finite memory is proposed. The efficiency of the coding is estimated and compared with the efficiency of input-uniform coding.
method for output-uniform coding of Markov sources with finite memory is proposed. The efficiency of the coding is estimated and compared with the efficiency of input-uniform coding.
Network coding could effectively improve transmission performance of multicast network, but encoding of node brings the additional calculation cost of node. In order to overcome the overhead brought by network coding,...
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ISBN:
(纸本)9781467344999;9780769548814
Network coding could effectively improve transmission performance of multicast network, but encoding of node brings the additional calculation cost of node. In order to overcome the overhead brought by network coding, a network coding optimization model under the framework of algebraic network coding is designed in this paper, and the joint optimization for both the link cost and coding cost of network coding are carried out based on this model. In addition, the paper proposes MOONC (Multi-Objective Optimization Problem of Network coding) based on improved NSGA-II algorithm. Adopting non-dominated sorting mechanism, virtual fitness and elitist strategy, this algorithm could not only improve algorithm efficiency and convergence speed, but also guarantee the population diversity. The simulation for typical network topology shows that this algorithm is effective and feasible.
A method for output-uniform coding of memoryless sources with unknown message statistics is proposed. The efficiency of this method is estimated. It is found that this coding is more efficient than coding uniform in i...
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A method for output-uniform coding of memoryless sources with unknown message statistics is proposed. The efficiency of this method is estimated. It is found that this coding is more efficient than coding uniform in input.
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