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Today, video applications on handheld devices become more and more popular. Due to limited computational capability of handheld devices, complexity constrained video coding draws much attention. In this paper, a medium-granularity computational complexity control (MGCC) is proposed for H.264/AVC. First, a large dynamic range in complexity is achieved by taking 16×16 motion estimation in a single reference...
To objectively evaluate the coding efficiency of video codecs, Bjøntegaard Delta PSNR (BD-PSNR) was proposed. Based on the rate-distortion (R-D) curve fitting, BD-PSNR is able to provide a good evaluation of the R-D performance. However, BD-PSNR has a critical drawback: It doesn't take the coding complexity into account. Clearly for practical video applications, especially for those on handheld devices,...
Quantization parameter (QP) cascaded hierarchical prediction structures have been proved as efficient techniques in hybrid video coding. However, the current QP cascading method is empirical and not adaptive. The reason for the higher coding efficiency of this method has not been fully explored so far. In this paper, the rate-distortion performance of QP cascaded hierarchical video coding is first...
This paper describes an efficient entropy coding method for macroblock modes in H.264 based on the statistical information of the previous frame. H.264/MPEG-4 AVC video coding introduces some new macroblock sub-types (modes) that allow for better rate-distortion (R-D) coding. These modes are coded with a fixed mapping table when context adaptive variable length coding (CAVLC) is used. Based on our...
Originally, hierarchical prediction structures were proposed to achieve temporal scalability. Soon after, it was realized that with a proper quantization parameter cascading (QPC) scheme the general performance can be significantly improved by hierarchical coding. However, the theory behind the gain has not been explored so far. In this paper, the QPC in hierarchical coding is investigated by model...
This paper introduces a Hilbert-curve-based genetic algorithm to solve capacitated location allocation facilities. Different from most existing approaches that target uncapacitated location-allocation problems, the proposed algorithm considers capacity constraints during the searching of facility sites. Genetic algorithm is employed and Hilbert curve is used to index demand points or spatial units...
In this paper, a one-pass budget allocation algorithm is proposed for hybrid video coding. Taking the percentage of skipped MBs as the measure of inter-frame dependency, the optimal budget allocation is first modeled for a two-frame case. Then this model is extended to a practical method in slow movement scenario, where the information of inter-frame dependency is predicted based on the previously...
In this paper, a one-pass multi-layer rate-distortion optimization algorithm is proposed for quality scalable video coding. To improve the overall coding efficiency, the MB mode in the base layer is selected not only based on its rate-distortion performance relative to this layer but also according to its impact on the enhancement layer. Moreover, the optimization module for residues is also improved...
With different kinds of terminal clients coming up, adaptive content delivery is a hot research topic. The proxy, or the intermediary server, is often chosen to do the function of producing ldquoadaptiverdquo contents in real time. Admittedly, those resolutions addressed the adaptive aspect of content delivery very well. However, they did not make full use of another proxy's important character, which...
Genetic algorithm and particle swarm optimization both belong to the evolutionary algorithms; they have much in common, but also have some differences. The paper set out from optimizing many resources, discussed the method of utilizing GA and PSO in detail, in order to equilibrium and optimize the problem of scheduling resources which are limited separately. Through analysis of comparative experiment,...
Plants simulation plays an increasingly important role in our learning and life. But the choosing of modeling parameters, related to the simulation results good or bad. This paper use improved genetic algorithm to optimize the parameters to obtain a high degree of adaptation parameters. The results of experiments indicate that forest-environment model established by improved genetic algorithm can...
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