Performance Analysis of SVC
By Mathias Wien, Heiko Schwarz, Tobias Oelbaum. IEEE transactions on circuits and systems for video technology (Print), 2007
331 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/9aea721fd981483c9ba270a75d59a3fce65da527
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
- Heiko Schwarz
- Detlev Marpe
- Thomas Stockhammer
- Thomas Schierl
- Martin Reisslein
- Shyamprasad Chikkerur
- Vijay Sundaram
In Signal Processing
- Thomas Wiegand
- Heiko Schwarz
- Detlev Marpe
- Thomas Stockhammer
- Thomas Schierl
- Martin Reisslein
- Shyamprasad Chikkerur
- Vijay Sundaram
Citations in the corpus
- Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison (2011, background): “T HE advent of high performance video compression standards [1]–[3] in conjunction with efficient and ubiquitous transmission systems [4]–[8], and a myriad of consumer video technologies have brought the contemporary world closer to digital videos than ever before.”
- Overview of the Scalable Video Coding Extension of the H.264/AVC Standard (2007, background): “For a further comparison of spatial and quality scalability with single-layer coding, the reader is referred to [48].”
- Mobile Video Transmission Using Scalable Video Coding (2007, background): “For more details on coding efficiency for SVC, see [45].”
- A Survey on Quality of Experience of HTTP Adaptive Streaming (2015, unknown): “, in [63] the authors achieve around 10% bit rate overhead in an optimized encoder when quality scalability is applied on low resolution sequences with 5 extractable bit rate levels.”