A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors

By Chenggang Clarence Yan, Yongdong Zhang, Jizheng Xu, Fengjun Dai, Liang Li, Qionghai Dai, Feng Wu. IEEE Signal Processing Letters, 2014

350 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e031082787272dda2c11f59c3156862e77b25ebd

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. Feng Dai
3. Feng Wu
4. Jizheng Xu
5. Yongdong Zhang
6. Chenggang Clarence Yan
7. Nicholas Carlini

In Signal Processing

1. Qionghai Dai
2. Feng Dai
3. Feng Wu
4. Yongdong Zhang

Citations in the corpus

• Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors (2014, methodology): “The DAG-based order was also used for deblocking filter [14], intra-mode decision [31], [32], and CU partitioning tree decision [33].”
• Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks (2018, neutral): “…comparison between DBNs trained with and without prior encoding of rules on the MNIST data set; DBNs with rule encoding achieve slightly higher accuracy faster. that had been provided as background theory, and therefore, the improvement with prior knowledge is smaller for larger training sets.”
• Deep Hyperspectral Image Sharpening (2018, neutral): “selections, which may need parallel computing [15], [16] to speed up.”