A framework for efficient progressive fine granularity scalable video coding

By Feng Wu, Shipeng Li, Ya-Qin Zhang. IEEE Trans. Circuits Syst. Video Technol., 2001

310 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/355c2a2fe2313b931878b9a413d959c5ec25e44b

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. Yao Wang
2. Shunan Lin
3. Amy R. Reibman
4. P. Chou
5. V. Padmanabhan
6. Helen J. Wang
7. Dapeng Oliver Wu
8. Yiwei Thomas Hou

In Signal Processing

1. P. Chou
2. Wenwu Zhu
3. Yao Wang
4. Shunan Lin
5. Amy R. Reibman
6. V. Padmanabhan
7. Helen J. Wang
8. Ya-Qin Zhang

Citations in the corpus

• Streaming video over the Internet: approaches and directions (2001, background): “A variation of FGS is progressive fine granularity scalability (PFGS) [72].”
• Resilient peer-to-peer streaming (2003, methodology): “The input stream is from a layered codec; in our implementation, we use a variant of the PFGS codec (also known as the SMART codec) reported in [37].”
• Multiple Description Coding for Video Delivery (2005, methodology): “The MD-FEC algorithm discussed in Section III-G is applied to each GoP of the scalable bitstream from an MPEG4PFGS encoder [62] to generate MD video streams.”