Standard Codecs: Image Compression to Advanced Video Coding
By Mohammed Ghanbari. 2003
398 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/aedbad1f5cf00a9e79612b1ccaac387f540e36e4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Patrick Seeling
- Diane Joyce Cook
- Weisi Lin
- Martin Reisslein
- Beshan Kulapala
- Darin Brezeale
- C.-C. Jay Kuo
- Charu C. Aggarwal
In Computer Vision and Pattern Recognition
- Weisi Lin
- Patrick Seeling
- Diane Joyce Cook
- Martin Reisslein
- Beshan Kulapala
- Darin Brezeale
- C.-C. Jay Kuo
- Ke Gu
In Signal Processing
- Patrick Seeling
- Diane Joyce Cook
- Weisi Lin
- Martin Reisslein
- Beshan Kulapala
- Darin Brezeale
- C.-C. Jay Kuo
- George Karypis
Citations in the corpus
- Network performance evaluation using frame size and quality traces of single-layer and two-layer video: A tutorial (2004, methodology): “In this section we give a brief overview of the main principles of non-scalable (single-layer) video encoding (compression), we refer the interested reader to [7, 8 ] for more details.”
- Perceptual visual quality metrics: A survey (2011, background): “In addition, how to evaluate picture quality plays a central role in shaping most (if not all) visual processing algorithms and systems [50,114,124].”
- Automatic Video Classification: A Survey of the Literature (2008, background): “macroblock from the previous frame to the current frame by way of a motion vector [52].”