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Research on effective coding algorithm for multi-view video

机译:多视点视频的有效编码算法研究

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Based on deeply analyzing and studying of multi-view video coding technology in JMVC (Joint Multi-view Video Coding), an effective coding algorithm in views of model decision and fast block searching was put forward in this paper. First, we use different search algorithms for interview prediction and frame prediction, respectively, to reduce search time and improve search efficiency. Second, we analyze the relationship among the model of current macroblock, the model of adjacent coded macroblocks and the corresponding position of reference frame. According to the result we can optimize the model decision algorithm for current coding macroblock, and reduce the search time for refined small block. The improved fast search algorithm is effective to the sequences containing fast motion area, and the improved model decision algorithm is effective to the sequences containing slow motion. Therefore, we combine the two improved algorithms, and apply them to sequences with different characteristics. The experimental results show that the improved algorithms get significant improvement in coding effect. Compared with the original algorithm in JMVC, the improved algorithm can reduce the coding time by 84.5% under the premise of insuring reconstruction video quality and coding overhead. (C) 2015 Elsevier GmbH. All rights reserved.
机译:在对JMVC(Joint Multi-view Video Coding,联合多视点视频编码)中的多视点视频编码技术进行深入分析和研究的基础上,提出了一种基于模型决策和快速块搜索的有效编码算法。首先,我们分别针对面试预测和帧预测使用不同的搜索算法,以减少搜索时间并提高搜索效率。其次,我们分析了当前宏块模型,相邻编码宏块模型和参考帧对应位置之间的关系。根据结果​​,可以优化当前编码宏块的模型决策算法,减少精炼小块的搜索时间。改进的快速搜索算法对包含快速运动区域的序列有效,而改进的模型决策算法对包含慢动作的序列有效。因此,我们将两种改进的算法结合在一起,并将其应用于具有不同特征的序列。实验结果表明,改进后的算法在编码效果上有明显的提高。与JMVC中的原始算法相比,改进算法在保证重建视频质量和编码开销的前提下,可以将编码时间减少84.5%。 (C)2015 Elsevier GmbH。版权所有。

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