An Overview of Core Coding Tools in the AV1 Video Codec

By Yue Chen, D. Mukherjee, Jingning Han, Adrian Grange, Yaowu Xu, Zoe Liu, Sarah Parker, Cheng Chen, Hui Su, Urvang Joshi and 11 more. Picture Coding Symposium, 2018

332 citations recorded by the source corpus.

AV1 is an emerging open-source and royalty-free video compression format, which is jointly developed and finalized in early 2018 by the Alliance for Open Media (AOMedia) industry consortium. The main goal of AV1 development is to achieve substantial compression gain over state-of-the-art codecs while maintaining practical decoding complexity and hardware feasibility. This paper provides a brief technical overview of key coding techniques in AV1 along with preliminary compression performance comparison against VP9 and HEVC.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b21e2ef08805660fabdb7e1e58a93fdcb790e4cf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Simon Feltman
2. Fabien Racap'e
3. Akshay Pushparaja
4. Jean Bégaint

Citations in the corpus

• CompressAI: a PyTorch library and evaluation platform for end-to-end compression research (2020, methodology): “de AV1 [9] AOM https://aomedia.”