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Accelerating 2D-to-3D Video Conversion on Multi-core Systems

机译:在多核系统上加速2D到3D视频转换

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摘要

While the 3D-TV becomes widely available in the market, consumers will face the problem of serious shortage of 3D video content. Since the difficulty of 3D video capturing and manufacturing, the automatic video conversion from 2D serves as an important solution for producing 3D perception. However, 2D-to-3D video conversion is a compute-intensive task and real-time processing speed is required in online playing. Nowadays, with the multi-core processor becoming the mainstream, 2D-to-3D video conversion can be accelerated by fully utilizing the computing power of available multi-core processors. In this paper, we take a typical algorithm of automatic 2D-to-3D video conversion as reference and present typical optimization techniques to improve the implementation performance. The result shows our optimization can do the conversion on an average of 36 frames per second on an Intel Core i7 2.3 GHz processor, which meets the real-time processing requirement. We also conduct a scalability performance analysis on the multi-core system to identify the causes of bottlenecks, and make suggestion for optimization of this workload on large-scale multi-core systems.
机译:尽管3D-TV在市场上变得广泛可用,但消费者将面临严重短缺3D视频内容的问题。由于难以捕捉和制造3D视频,因此从2D进行自动视频转换是产生3D感知的重要解决方案。但是,从2D到3D的视频转换是一项计算量很大的任务,在线播放时需要实时处理速度。如今,随着多核处理器成为主流,可以通过充分利用可用的多核处理器的计算能力来加速2D到3D视频转换。在本文中,我们以2D到3D视频自动转换的典型算法为参考,并提出了提高实现性能的典型优化技术。结果表明,我们的优化可以在Intel Core i7 2.3 GHz处理器上以平均每秒36帧的速度进行转换,从而满足实时处理要求。我们还对多核系统进行了可伸缩性性能分析,以确定瓶颈的原因,并提出了在大型多核系统上优化此工作负载的建议。

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