Comparative Rate-Distortion-Complexity Analysis of HEVC and AVC Video Codecs

By Jarno Vanne, Marko Viitanen, Timo D. Hämäläinen, A. Hallapuro. 2012

288 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

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. Luc Van Gool
2. Dacheng Tao
3. Yongdong Zhang
4. Trevor Darrell
5. Li Fei-Fei
6. Bernt Schiele
7. Jitendra Malik
8. Xiaogang Wang

In Signal Processing

1. Qionghai Dai
2. Feng Wu
3. Yongdong Zhang
4. Oren Rippel
5. Lubomir D. Bourdev
6. Steve Branson

Citations in the corpus

• Learned Video Compression (2018, background): “At the same time, the fundamentals of existing video compression algorithms have not changed considerably over the last 20 years [41, 31, 30, ... ].”
• A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors (2014, background): “To decide the optimal CUPT greatly increases the search domain and the computational complexity of rate-distortion optimization (RDO) at the encoder [7]–[9].”