Estimation of accurate effective loss rate for FEC video transmission
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 678-698 |
Journal / Publication | Signal Processing: Image Communication |
Volume | 29 |
Issue number | 6 |
Publication status | Published - Jul 2014 |
Externally published | Yes |
Link(s)
Abstract
We propose an algorithm for adjusting data transmission parameters, such as the packet size and the code rate of forward error correction (FEC), to obtain maximum video quality under dynamic channel conditions. When determining transmission parameters, it is essential to calculate an accurate effective loss rate that reflects FEC recovery failures and over-deadline packets. To this end, we analyze the delays caused by FEC coding and the potential packet size variations. In our analysis, we consider the effect of delayed transmission of video packets incurred by the parity packets as well as the encoder and decoder buffers. With the analysis reflecting the delay effect, we are able to accurately estimate the delay patterns of all video packets. Based on the analysis results, we establish an accurate model for estimating the effective loss rate. Simulations show that the proposed effective loss rate model accurately estimates the effective loss rate and significantly improves the reconstructed video quality at the receiver. © 2014 Elsevier B.V.
Research Area(s)
- Effective loss rate, Error protection, FEC video transmission, Forward error correction (FEC)
Bibliographic Note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
Citation Format(s)
Estimation of accurate effective loss rate for FEC video transmission. / Lee, Hong-Rae; Jeong, Yo-Won; Kim, Jin-Soo et al.
In: Signal Processing: Image Communication, Vol. 29, No. 6, 07.2014, p. 678-698.
In: Signal Processing: Image Communication, Vol. 29, No. 6, 07.2014, p. 678-698.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review