新的多视点视频编码优化算法

分析研究了多视点视频编码中的TZSearch算法的性能与不足，并针对平行摄像机采集的多视点视频序列，提出一种新的多视点视频编码优化算法。主要从搜索模型选取、搜索策略、自适应阈值设置三个方面进行算法优化，以减少算法计算复杂度。在多视点视频软件测试平台——JMVC4.0上进行验证，结果表明:在保证重建视频质量在容忍度内，同时编码开销可控的前提下，优化算法与原始算法相比，算法平均编码时间减少75%左右，大大提高了编码的实时性。

New optimization algorithm for multi-view video coding

After analyzing and researching the performance and deficiencies of TZSearch algorithm adopted by multi-view video, concerning the sequences of multi-view video obtained by parallel cameras, a new multi-view video coding optimization algorithm was put forward. The optimization was suggested mainly from the following three aspects: selection of search model, search strategy and adaptive threshold setting, so as to reduce the computational complexity of the algorithm. Tests were given on software testing platform for multi-view video named JMVC4.0. The experimental results show that: in ensuring the reconstruction video quality within tolerance, and under the premise of controlling the coding overhead, the optimized algorithm has reduced the average encoding time about 75% compared with the original algorithm, greatly improves the real-time performance of coding.