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Genetic Algorithm Based Rate Control for AV1
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DOI：10.1109/LSP.2020.2976578.png)
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Abstract
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Rate control persists as a core problem in video coding area. This paper proposes a robust rate control framework for the recently released AV1 standard, which is a royalty-free video codec specification generated by AOM. Firstly, an exponential rate control model as well as its initialization process and update strategy is proposed to characterize the correspondences between rate and quantization parameter. Next, this paper proposes RC-EMD to measure the similarity between two video frames. Then based on the RC-EMD, a dynamic bit allocation method using genetic algorithm is proposed for AV1 encoder, which can simultaneously detect scene changes. Unlike the existing work, the proposed method explores a larger solution space and automatically adapts to actual input videos, which results in improved performance.
Keywords:
AV1
rate control
genetic algorithm
R-Q model
bit allocation
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