Overview of SHVC: Scalable Extensions of the High Efficiency Video Coding Standard
By Jill M. Boyce, Yan Ye, Jianle Chen, Adarsh K. Ramasubramonian. IEEE transactions on circuits and systems for video technology (Print), 2016
366 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/99228a75d4536b0ba3346aadf07b42903200a5d4
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
- K. Müller
- Anthony Vetro
- Jens-Rainer Ohm
- Ye-Kui Wang
- Jianle Chen
- Roger Zimmermann
- Ali C. Begen
- Gary J. Sullivan
In Signal Processing
- K. Müller
- Anthony Vetro
- Jens-Rainer Ohm
- Ye-Kui Wang
- Jianle Chen
- Roger Zimmermann
- Gary J. Sullivan
- Benjamin Bross
Citations in the corpus
- Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC) (2021, background): “In October 2014, the second version (v2) of HEVC was finalized, in which the format range extensions (RExt) add support for more demanding higher quality applications [26], the multilayer extensions for scalability [27], and 3-”
- A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP (2019, methodology): “Dayananda and Swaminathan [164] investigated the gain of SHVC in HAS, and they found that it could result in bitrate savings but at the price of increased encoding overhead due to scalability.”
- Overview of the Multiview and 3D Extensions of High Efficiency Video Coding (2016, methodology): “Moreover, since MV-HEVC and 3D-HEVC were developed in parallel with the sca lable extension of HEVC (SHVC [18]), all extensions share basic inter-layer prediction design utilizing almost the same HLS.”