Foveated video compression with optimal rate control

By Sanghoon Lee, Marios S. Pattichis, A. Bovik. 2001

164 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. Anush K. Moorthy
2. A. Bovik
3. Zhou Wang
4. Lei Zhang
5. Chris Biemann
6. Constantinos S. Pattichis
7. Kede Ma
8. Douglas B. Kell

In Signal Processing

1. Douglas B. Kell
2. Anush K. Moorthy
3. Constantinos S. Pattichis
4. A. Bovik
5. Andreas Holzinger
6. Chris Biemann

Citations in the corpus

• What do we need to build explainable AI systems for the medical domain? (2017, background): “In the bottom two rows is an asymptomatic example. int = intensity ear coordinate systems has led to the earlier development of very low bitrate video coding as demonstrated in (Lee et al., 2001, 2002).”
• Visual Importance Pooling for Image Quality Assessment (2009, background): “Visual importance has been explored in the context of visual saliency [9], fixation calculation [10], and foveated image and video compression [11]–[15].”