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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Balanced Parallel Scheduling for Video Encoding with Adaptive GOP Structure
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Balanced Parallel Scheduling for Video Encoding with Adaptive GOP Structure

机译：自适应GOP结构的视频编码均衡并行调度

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Due to the nature of a dynamic group of picture (GOP) structure, parallel scheduling for video encoding becomes challenging. To address this, the balanced frame-level parallel scheduling algorithms are developed. The proposed approaches first determine the frame priority and then the thread priority assignment for scheduling. The concept of the algorithms lies in the analysis of coding complexity, temporal influence, and the required temporal burden to finish coding. To complete the scheduling with the dynamic GOP structure, a block-based abrupt and gradual scene change detection algorithm is also proposed to determine the GOP structure adaptively. The experiments show that the scheduling performance is close to the optimal. In addition, the concept of batch processing is incorporated so that the required buffer can be reduced.
机译：由于动态图片组（GOP）结构的性质，用于视频编码的并行调度变得具有挑战性。为了解决这个问题，开发了平衡的帧级并行调度算法。所提出的方法首先确定帧优先级，然后确定线程优先级以进行调度。该算法的概念在于对编码复杂性，时间影响以及完成编码所需的时间负担的分析。为了完成动态GOP结构的调度，还提出了基于块的突变渐进场景变化检测算法来自适应地确定GOP结构。实验表明，调度性能接近最优。另外，合并了批处理的概念，以便可以减少所需的缓冲区。

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