超低延迟的图像和视频编码技术

Jakub Žádník, M. Mäkitalo, Jarno Vanne, P. Jääskeläinen
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引用次数: 10

摘要

下一代无线网络促进了延迟关键型应用的采用,如XR、互联工业或自动驾驶。本调查收集了不同的图像和视频编码方案的实现方面,并讨论了它们的权衡。标准化的视频编码技术(如HEVC或VVC)提供了高压缩比,但其巨大的复杂性为静态图像、夹层或纹理压缩等替代方法在资源紧张或延迟限制的情况下设置了场景。无论编码方案如何,我们发现设备间内存传输和缺乏子帧编码是当前全系统和软件可编程实现的限制。
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Image and Video Coding Techniques for Ultra-low Latency
The next generation of wireless networks fosters the adoption of latency-critical applications such as XR, connected industry, or autonomous driving. This survey gathers implementation aspects of different image and video coding schemes and discusses their tradeoffs. Standardized video coding technologies such as HEVC or VVC provide a high compression ratio, but their enormous complexity sets the scene for alternative approaches like still image, mezzanine, or texture compression in scenarios with tight resource or latency constraints. Regardless of the coding scheme, we found inter-device memory transfers and the lack of sub-frame coding as limitations of current full-system and software-programmable implementations.
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