Multi-resolution encoding and optimization for next generation video compression
Vignesh V Menon

TL;DR
This paper proposes a multi-resolution, multi-bitrate encoding scheme that leverages encoder analysis correlations to significantly speed up video encoding without losing efficiency, validated on HEVC and next-gen codecs.
Contribution
It introduces a novel multi-resolution tier multi-bitrate encoding method that improves computational efficiency by reusing analysis decisions across resolutions and bitrates.
Findings
Achieves up to 2.5x speed-up in encoding times.
Maintains coding efficiency comparable to conventional methods.
Demonstrates hardware-aware optimizations impact on encoding speed.
Abstract
Multi-encoding implies encoding the same content in multiple spatial resolutions and multiple bitrates. This work evaluates the encoder analysis correlations across 2160p, 1080p, and 540p encodings of the same video for conventional ABR bitrates. A multi-resolution tier multi-ABR encoding scheme is modeled and evaluated, which significantly improves the computational efficiency of conventional ABR encoding. Video content is first encoded at the lower resolution with the median bitrate. Encoder analysis decisions, such as motion vectors and CU block structure, are then used in the other encodes in the same resolution tier. The analysis is then extrapolated and refined to be used in higher-resolution encodes. The scheme is validated using x265 HEVC video encoder. The proposed multi-resolution tier multi-bitrate encoding scheme achieves overall speed-ups of up to 2.5x, compared to the…
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Taxonomy
TopicsVideo Coding and Compression Technologies · Advanced Data Compression Techniques · Advanced Image Processing Techniques
