Title
Genetic Algorithm Based Rate Control For Av1
Abstract
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.
Year
DOI
Venue
2020
10.1109/LSP.2020.2976578
IEEE SIGNAL PROCESSING LETTERS
Keywords
DocType
Volume
AV1, rate control, genetic algorithm, R-Q model, bit allocation
Journal
27
ISSN
Citations 
PageRank 
1070-9908
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Meiyuan Fang171.87
Yuxing Han210112.24
Jiangtao Wen364290.00