Video Compression - From Concepts to the H.264/AVC Standard
By Gary J. Sullivan, Thomas Wiegand. Proceedings of the IEEE, 2005
638 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/2310e3456f083fec7367591be3d64ac98634c338
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
- Thomas Wiegand
- K. Müller
- Philipp Merkle
- Gary J. Sullivan
- Jens-Rainer Ohm
- A. Smolic
- Xiaojie Guo
- Liquan Shen
In Signal Processing
- K. Müller
- Thomas Wiegand
- Philipp Merkle
- Gary J. Sullivan
- Jens-Rainer Ohm
- A. Smolic
- Liquan Shen
- Zhaoyang Zhang
Citations in the corpus
- Fast CU size decision and mode decision algorithm for HEVC intra coding (2013, methodology): “Motivated by potential for improving coding efficiency for high resolution videos, ISO/IEC Moving Picture Experts Group (MPEG) and ITU-T Video Coding Experts Group (VCEG) recently form a Joint Collaborative Team on Video Coding (JCT-VC) to develop the next-generation video coding standard [1],[2].”
- Efficient Prediction Structures for Multiview Video Coding (2007, background): “General requirements for video coding such as minimum resource consumption (memory, processing power), low delay, error robustness, or support of different pixel and color resolutions, are often applicable to all video coding standards [5].”
- DeepCoder: A deep neural network based video compression (2017, neutral): “Almost all famous video compression standards are based on the hybrid motioncompensation and transform coding framework [1].”
- Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC) (2021, background): “262/MPEG-2 Video standard, which had been produced a decade earlier and was also a joint project of the same organizations [3]–[5].”
- High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation (2016, methodology): “For residual error ẽi, we encode them using context-based adaptive variable length coding [35], [36].”
- Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC) (2012, neutral): “For further details, the reader is referred to the draft HEVC standard [4], the prior standards [5], [8]–[10], and corresponding books [6], [7], [15] and overview articles [3], [11], [12].”