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Optimal Packetization Scheme for Embedded Multimedia Bitstreams Using Genetic Algorithms

机译:遗传算法的嵌入式多媒体比特流最优分组方案

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摘要

The problem of packetizing embedded multimedia bit-streams into fixed-size packets is investigated and an optimal packe-tization scheme using a genetic algorithm is presented. In the proposed method, each individual packetization instance is represented by a decision sequence and mapped to a chromosome. A steady-state genetic algorithm is applied to search for the optimal chromosome that minimizes the distortion between the original and the reconstructed media. In addition, we propose a fast method to calculate the fitness value based on the distortion associated with each chromosome to speed up the evolution process. The computer simulation results show that our proposed packetization scheme has high compression efficiency and provides error resiliency to packet losses with a relatively fast speed.
机译:研究了将嵌入式多媒体比特流打包为固定大小的数据包的问题,​​并提出了使用遗传算法的最佳打包方案。在提出的方法中,每个单独的打包实例均由决策序列表示并映射到染色体。应用稳态遗传算法来搜索最佳染色体,该染色体可最大程度地减少原始媒体和重构媒体之间的失真。此外,我们提出了一种基于与每个染色体相关的失真来计算适应度值的快速方法,以加快进化过程。计算机仿真结果表明,我们提出的打包方案具有较高的压缩效率,并且以相对较快的速度为包丢失提供了错误恢复能力。

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