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A modular cross-platform GPU-based approach for flexible 3D video playback

机译:基于模块化跨平台GPU的方法可实现灵活的3D视频播放

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摘要

Different compression formats for stereo and multiview based 3D video is being standardized and software players capable of decoding and presenting these formats onto different display types is a vital part in the commercialization and evolution of 3D video. However, the number of publicly available software video players capable of decoding and playing multiview 3D video is still quite limited. This paper describes the design and implementation of a GPU-based real-time 3D video playback solution, built on top of cross-platform, open source libraries for video decoding and hardware accelerated graphics. A software architecture is presented that efficiently process and presents high definition 3D video in real-time and in a flexible manner support both current 3D video formats and emerging standards. Moreover, a set of bottlenecks in the processing of 3D video content in a GPU-based real-time 3D video playback solution is identified and discussed.
机译:基于立体声和多视图的3D视频的不同压缩格式正在得到标准化,并且能够将这些格式解码并呈现到不同显示类型上的软件播放器是3D视频商业化和演进的重要组成部分。但是,能够解码和播放多视图3D视频的可公开获得的软件视频播放器的数量仍然非常有限。本文介绍了基于GPU的实时3D视频播放解决方案的设计和实现,该解决方案建立在跨平台,用于视频解码和硬件加速图形的开源库之上。提出了一种软件体系结构,该体系结构实时有效地处理和呈现高清3D视频,并且以灵活的方式支持当前3D视频格式和新兴标准。此外,识别和讨论了在基于GPU的实时3D视频播放解决方案中处理3D视频内容的一系列瓶颈。

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