English

SVT-AV1 Encoding Bitrate Estimation Using Motion Search Information

Image and Video Processing 2024-07-09 v1

Abstract

Enabling high compression efficiency while keeping encoding energy consumption at a low level, requires prioritization of which videos need more sophisticated encoding techniques. However, the effects vary highly based on the content, and information on how good a video can be compressed is required. This can be measured by estimating the encoded bitstream size prior to encoding. We identified the errors between estimated motion vectors from Motion Search, an algorithm that predicts temporal changes in videos, correlates well to the encoded bitstream size. Combining Motion Search with Random Forests, the encoding bitrate can be estimated with a Pearson correlation of above 0.96.

Keywords

Cite

@article{arxiv.2407.05900,
  title  = {SVT-AV1 Encoding Bitrate Estimation Using Motion Search Information},
  author = {Lena Eichermüller and Gaurang Chaudhari and Ioannis Katsavounidis and Zhijun Lei and Hassene Tmar and Christian Herglotz and André Kaup},
  journal= {arXiv preprint arXiv:2407.05900},
  year   = {2024}
}

Comments

5 pages, 4 figures, accepted for European Signal Processing Conference (EUSIPCO) 2024

R2 v1 2026-06-28T17:32:49.646Z