HEVC Complexity and Implementation Analysis

By Frank Bossen, Benjamin Bross, Karsten Sühring, D. Flynn. IEEE transactions on circuits and systems for video technology (Print), 2012

814 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/d850dcbf1f284d8d77f5796098d8c20453b2f302

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. Qionghai Dai
2. Onur Mutlu
3. Feng Dai
4. Feng Wu
5. Jizheng Xu
6. Yongdong Zhang
7. Parthasarathy Ranganathan
8. Rachata Ausavarungnirun

In Signal Processing

1. Qionghai Dai
2. Onur Mutlu
3. Feng Dai
4. Feng Wu
5. Yongdong Zhang
6. Parthasarathy Ranganathan
7. Saugata Ghose

Citations in the corpus

• Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors (2014, background): “The HEVC encoders are expected to be several times more complex than H.264/AVC encoders [9], [10].”
• Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks (2018, background): “Other works [13, 20, 27, 77, 88, 89, 155] attempt to improve the efficiency of motion compensation, motion estimation, and the deblocking filter in different video codec formats using various techniques, ranging from software optimization to hardware acceleration.”