Neural Network-based Video Quality via Adaptive FEC in Wireless Environment
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10.5120/10927-5870 |
Ghaida A Al-suhail and Sarah A Subber. Article: Neural Network-based Video Quality via Adaptive FEC in Wireless Environment. International Journal of Computer Applications 65(6):11-15, March 2013. Full text available. BibTeX
@article{key:article,
author = {Ghaida A. Al-suhail and Sarah A. Subber},
title = {Article: Neural Network-based Video Quality via Adaptive FEC in Wireless Environment},
journal = {International Journal of Computer Applications},
year = {2013},
volume = {65},
number = {6},
pages = {11-15},
month = {March},
note = {Full text available}
}
Abstract
Artificial Neural Network (ANN) has proven capability in wireless communications. Therefore it has been used for a variety of purposes and in different ways. This proposal strives to address QoS of video streaming for the cellular clients in Universal Mobile Telecommunication System (UMTS) through adaptive FEC based on ANN. The model aims to present the idea of configure and recover the corrupted packets in the video flow with a suitable Forward Error Correction (FEC) code addressed by the ANN. The adaptation of the FEC scheme is based on predefined probability equations which are derived from the data loss rates related to the recovery rates at the clients. The client-side is responsible to relay information to the BS by the feedback channel via RTT of TCPFriendly Rate Control Protocol (TFRCP). For each video, the neural network will be trained on the precise data. The simulation results show that a video quality can be adaptable to the tuned optimal FEC codes from ANN via the packet loss probability of the wireless feedback environment.
References
- Oskar Eriksson. 2011. "Error Control in Wireless Sensor Networks A Process Control Perspective," Examensarbete 30 hp.
- M. WU, H. Radha. 2005. "Network Embedded FEC (NEF) Performance Over Multi-hop Wireless Channels with Memory," Conf. on Information Sciences and Systems, The John Hopkins University.
- C. Shih. 2010. "Adaptive Forward Error Correction Combined with Packet Size Control for Wireless Video," Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference.
- C. Lamoriniere, A. Nafaa, and Liam Murphy. 2010 "Dynamic Switching Between Adaptive FEC Protocols For Reliable Multi-Source Streaming," Communications Technology (NICT).
- A. Patnaik & D. Anagnostou. 2004 "Applications of Neural Networks in Wireless Communications," IEEE Antennas and Pmpagalion Magazine,, vol. 46, no. 3.
- L. Khoukhi. 2009. "Toward Neural network solution of multimedia support in mobile Ad hoc network," Journal of network, vol. 4, no. 2.
- R. Kulkarni, Senior , G. Venayagamoorthy. 2009 "Neural Network Based Secure Media Access Control Protocol for Wireless Sensor Networks," Proceedings of International Joint Conference on Neural Networks, Atlanta, Georgia, USA, pp. 14–19.
- A. Khan. 2010. "Impact of RLC losses on quality prediction for H. 264 video over UMTS networks," Multimedia and Expo (ICME), IEEE International Conference.
- M. Chen and A. Zakhor. 2004. "Rate Control for Streaming Video over Wireless," IEEE INFOCOM.
- S. Subber and G. Al suhail. 2012. "Robust Network FEC-Embedded Video Transission over Error-Prone Wireless Channels," International Journal of Wireless & Mobile Networks (IJWMN) vol. 4, no. 3.
- H. Wu. 2003 "A Model for MPEG with Forward Error Correction and TCP-Friendly Bandwidth," NOSSDAV'03.
- G. Haßlinger and O. Hohlfeld. 2008. "The Gilbert-Elliott Model for Packet Loss in Real Time Services on the Internet," Darmstadt University of Technology, Germany.
- G. Al Suhail and R. Kennedy. 2009. "Modelling of Adaptive Wireless Link or MPEG-4 Video transport in UMTS Network," Inter Conf. Signal processing and communication system ICSPCS, USA.