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基于soc服务器的编码方案自适应调整机制
首发时间：2024-06-12
摘要：soc阵列服务器在当今视频相关服务领域承担着越来越重要的作用，尤其是在处理高并发视频编码任务时，其性能与效率直接关乎到用户体验和服务质量。针对soc服务器在视频编码任务中的性能特性与挑战进行了深度探索，特别是在低目标码率场景下，硬件编码方案输出码率难以控制在预设范围内。通过对比cpu软件编码与mediacodec硬件编码在吞吐量、能效比及视频质量等方面的性能，揭示硬件编码虽能显著提升能效，但在特定条件下的码率控制能力不足。基于此，提出一种低目标码率视频编码切换阈值的快速预测算法，利用帧内复杂度与帧间复杂度建立线性模型，有效预测编码切换点，实验证明该算法较传统二分查找法效率提升21.4%，显著减少了寻找确切编码切换阈值所需的时间和计算资源。最终，为soc服务器视频编码策略提供了自适应调整机制，确保在不同码率需求下选择最优编码方案，既满足网络拥塞控制要求，又保持高质量视频传输，对视频流化服务的优化具有重要实践意义。
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adaptive adjustment mechanism of coding scheme based on soc server
abstract：system-on-chip (soc) array servers are assuming an increasingly pivotal role in the domain of video-related services, particularly in managing high-concurrency video encoding tasks where their performance and efficiency directly impact user experience and service quality. this paper delves into the performance characteristics and challenges of soc servers in video encoding tasks, with a special focus on scenarios involving low target bitrates. it is observed that under such conditions, hardware-based encoding struggles to maintain output bitrates within parameters. by comparing cpu software encoding with mediacodec hardware encoding across metrics like throughput, energy efficiency, and video quality, the research uncovers that while hardware encoding significantly enhances energy efficiency, it falls short in bitrate control under specific circumstances.in response to this finding, the study proposes a rapid prediction algorithm for the low target bitrate video encoding switch threshold. leveraging intra-frame complexity and inter-frame complexity, a linear model is established to effectively predict encoding switch points. experimental results demonstrate that this algorithm improves efficiency by 21.4% compared to the conventional binary search method, substantially reducing the time and computational resources required to pinpoint the exact encoding switch threshold.ultimately, the research furnishes soc server video encoding strategies with an adaptive adjustment mechanism, ensuring the selection of the optimal encoding scheme across varying bitrate demands. this not only accommodates network congestion control requirements but also preserves high-quality video transmission, thereby holding significant practical implications for optimizing video streaming services.
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