Tech Paper 2022: The paper presents fast multi-encoding schemes for HEVC to reduce computational complexity and costs in large-scale video streaming, using metadata reuse, parallel processing, and machine learning for efficient DASH content delivery.
Abstract
The growth in video Internet traffic and advancements in video attributes such as framerate, resolution, and bit-depth boost the demand to devise a large-scale, highly efficient video encoding environment. This is even more essential for Dynamic Adaptive Streaming over HTTP (DASH)-based content provisioning as it requires encoding numerous representations of the same video content. High Efficiency Video Coding (HEVC) is one standard video codec that significantly improves encoding efficiency over its predecessor Advanced Video Coding (AVC). This improvement is achieved at the expense of significantly increased time complexity, which is a challenge for content and service providers.
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