Abstract
A robust video communication system based on layered coding and unequal error protection is developed in this work. We consider two video communication scenarios. First, for pre-compressed video bitstreams, a channel code rate allocation scheme is proposed to minimize the expected mean square error subject to a constraint on the overall bit budget. Second, for real-time video transmission, we jointly optimize the quantization parameters and the channel coding rates according to channel conditions. To this end, we develop a simple rate-distortion model for general video coders using DCT and motion compensation, so that the rate and the distortion can be estimated without an expensive encoding procedure. Simulation results show that the proposed algorithms provide acceptable image quality even in high bit error rate environments.
| Original language | English |
|---|---|
| Pages (from-to) | 475-498 |
| Number of pages | 24 |
| Journal | Journal of Visual Communication and Image Representation |
| Volume | 16 |
| Issue number | 4-5 |
| DOIs | |
| Publication status | Published - 2005 Aug 1 |
| Externally published | Yes |
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Keywords
- Joint source-channel coding
- Packet video
- Robust video transmission
- Unequal error protection
- Wireless video
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Packet video transmission over wireless channels with adaptive channel rate allocation. / Kung, Wei Ying; Kim, Chang-Su; Kuo, C. C Jay.
In: Journal of Visual Communication and Image Representation, Vol. 16, No. 4-5, 01.08.2005, p. 475-498.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Packet video transmission over wireless channels with adaptive channel rate allocation
AU - Kung, Wei Ying
AU - Kim, Chang-Su
AU - Kuo, C. C Jay
PY - 2005/8/1
Y1 - 2005/8/1
N2 - A robust video communication system based on layered coding and unequal error protection is developed in this work. We consider two video communication scenarios. First, for pre-compressed video bitstreams, a channel code rate allocation scheme is proposed to minimize the expected mean square error subject to a constraint on the overall bit budget. Second, for real-time video transmission, we jointly optimize the quantization parameters and the channel coding rates according to channel conditions. To this end, we develop a simple rate-distortion model for general video coders using DCT and motion compensation, so that the rate and the distortion can be estimated without an expensive encoding procedure. Simulation results show that the proposed algorithms provide acceptable image quality even in high bit error rate environments.
AB - A robust video communication system based on layered coding and unequal error protection is developed in this work. We consider two video communication scenarios. First, for pre-compressed video bitstreams, a channel code rate allocation scheme is proposed to minimize the expected mean square error subject to a constraint on the overall bit budget. Second, for real-time video transmission, we jointly optimize the quantization parameters and the channel coding rates according to channel conditions. To this end, we develop a simple rate-distortion model for general video coders using DCT and motion compensation, so that the rate and the distortion can be estimated without an expensive encoding procedure. Simulation results show that the proposed algorithms provide acceptable image quality even in high bit error rate environments.
KW - Joint source-channel coding
KW - Packet video
KW - Robust video transmission
KW - Unequal error protection
KW - Wireless video
UR - http://www.scopus.com/inward/record.url?scp=20544464612&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=20544464612&partnerID=8YFLogxK
U2 - 10.1016/j.jvcir.2005.03.005
DO - 10.1016/j.jvcir.2005.03.005
M3 - Article
AN - SCOPUS:20544464612
VL - 16
SP - 475
EP - 498
JO - Journal of Visual Communication and Image Representation
JF - Journal of Visual Communication and Image Representation
SN - 1047-3203
IS - 4-5
ER -