Efficient support for scan operations in video servers
Proceedings of the third ACM international conference on Multimedia
TOSA: a near-optimal scheduling algorithm for multi-channel data broadcast
Proceedings of the 6th international conference on Mobile data management
Design and implementation of a multi-channel multi-interface network
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Towards Stadium-Scale Wireless Media Streaming
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
Path diversity and bandwidth allocation for multimedia streaming
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Quality assessment metrics vs. PSNR under packet lossscenarios in manet wireless networks
Proceedings of the international workshop on Workshop on mobile video
Video quality monitoring of streamed videos
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Rate control for robust video transmission over burst-error wireless channels
IEEE Journal on Selected Areas in Communications
Sub-frame crossing for streaming video over wireless networks
WONS'10 Proceedings of the 7th international conference on Wireless on-demand network systems and services
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The main challenge of real time video streaming over a wireless network is to provide good quality service (QoS) to the mobile viewer. However, wireless networks have a limited bandwidth that may not be able to handle the continues video frame sequence and also with the possibility that video frames could be dropped or corrupted during the transmission. This could severely affect the video quality. In this study we come up with a mechanism to eliminate the frozen video and provide a quality satisfactory for the mobile viewer. This can be done by splitting the video frames to sub-frame and transmitted over multiple channels. We will present a subjective test, the Mean Opinion Score (MOS). MOS is used to evaluate our scenarios where the users can observe three levels of frame losses for real time video streaming. The results for our technique significantly improves the indicate perceived that video quality.