计算机应用 ›› 2011, Vol. 31 ›› Issue (09): 2461-2464.DOI: 10.3724/SP.J.1087.2011.02461

• 图形图像技术 • 上一篇    下一篇

新的多视点视频编码优化算法

杨中华1,戴声奎1,2   

  1. 1. 华侨大学 信息科学与工程学院,福建 厦门 361008
    2. 厦门联创微电子股份有限公司 博士后工作站,福建 厦门 361008
  • 收稿日期:2011-03-21 修回日期:2011-05-13 发布日期:2011-09-01 出版日期:2011-09-01
  • 通讯作者: 杨中华
  • 作者简介:杨中华(1985-),男,安徽巢湖人,硕士,主要研究方向:多视点视频编码;
    戴声奎(1971-),男,湖北恩施人,副教授,博士,主要研究方向:图形图像处理、模式识别系统、通信信号处理。
  • 基金资助:
    福建省青年人才项目(2008F3066);华侨大学科研基金资助项目

New optimization algorithm for multi-view video coding

YANG Zhong-hua1,DAI Sheng-kui1,2   

  1. 1. College of Information Science and Engineering, Huaqiao University, Xiamen Fujian 361008, China
    2. Postdoctoral Center, Xiamen Linktron Microelectronics Company Limited, Xiamen Fujian 361008, China
  • Received:2011-03-21 Revised:2011-05-13 Online:2011-09-01 Published:2011-09-01
  • Contact: YANG Zhong-hua

摘要: 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。

关键词: 平行摄像机, 搜索模型, 搜索策略, 计算复杂度, 实时性

Abstract: 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.

Key words: parallel camera, search model, search strategy, computational complexity, real-time

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