Mobile Video Quality Prediction (MVQP) project aims to develop a set of tools for measuring and predicting the quality of streaming video over user datagram protocol (UDP) through 3G/4G-LTE cellular networks. MVQP project consist of two phases. Phase one entails development of a raw video database that contains forty representative 4K raw videos. This video database is accessible free of cost for researchers. Phase one end with an evaluation of live video streaming. Phase two is to develop the last MVQP tool that capable of automatically determining video quality over 3G/4G-LTE Cellular Networks by using MOS results in phase one.
| Phase 1 | Phase 2 |
| MVQP videos database & MVQP website | Developing MVQP |
| 3G/4G-LTE cellular network factors that affect video streaming quality | Training MVQP by using MOS in phase 1 |
| Live measurements 3G/4G-LTE | Testing & Validation |
| Subjective quality assessments using smartphones (MOS) | MVQP predict E-MOS |
MVQP Tools
| MVQP For 3G | MVQP For 4G-LTE |
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MVQP Live radio frequency (RF) measurements over 3G cellular network ( Signal Strength - RSSI - RSCP - EcIo - SNR - Network type ) |
MVQP Live radio frequency (RF) measurements over 4G-LTE cellular network (Network type - Signal Strength - RSSI - RSRP - RSRQ - SNR ) |
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MVQP Subjective assessment application on 3G mobile devices resolution 480x320 Recording subjective rates on Ranking Database |
MVQP display and rating application (resolution 1280x720) for 4G-LTE |
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MVQP video quality factors measuring tool (Packet loss, bit-rate, frame rate, codec type) |
MVQP video quality factors measuring tool (Packet loss, bit-rate, frame rate, codec type) |
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MVQP Streaming server over 3G cellular network (Stream videos and save distortion videos) |
MVQP Streaming server over 4G-LTE cellular network (Stream videos and save distortion videos) |
MVQP Members
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Dr. Ivica Kostanic Associate Professor Email: kostanic@fit.edu |
Fahad Al Qurashi, Ph.D. Email: falqurashi2008@my.fit.edu |
Hamad Almohamedh, Ph.D. Email: halmoham@my.fit.edu |
Publications
Ivica Kostanic, Hamad Almohamedh and Fahad Alqurashi, "Non-Referenced Objective Streaming Video Quality Evaluation in Cellular Networks," In proceedings of 2nd International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2015, Silver Lake (Srebrno Jezero), Serbia, June 8-11, 2015
Hamad Almohamedh, Fahad Al Qurashi, Ivica Kostanic, "Mobile Video Quality Prediction (MVQP) for Long Term Evolution (LTE)," IAENG International Journal of Computer Science, Volume 42 Issue 1, Pages 46-53
Hamad Almohamedh, Fahad Al Qurashi, Ivica Kostanic, "Subjective Assessment of Mobile Videos Quality for Long Term Evolution (LTE) Cellular Networks,” Proceedings of the World Congress on Engineering and Computer Science 2014 WCECS 2014, Vol I,pp. 471-476 ,22-24 October, 2014, San Francisco, USA (Best Paper Award)
Fahad Al Qurashi, Hamad Almohamedh, Ivica Kostanic "RAW Video Database of Mobile Video Quality Prediction (MVQP)," International Conference on Image Processing, Computer Vision, and Pattern Recognition, July, 2014
Fahad Al Qurashi, Hamad Almohamedh, Ivica Kostanic "Subjective Video Streaming Quality Evaluation in 3G Cellular Networks," International Conference on Image Processing, Computer Vision, and Pattern Recognition, July, 2014
Hamad Almohamedh, Fahad Al Qurashi, Ivica Kostanic "Mobile Videos Quality Measurements for Long Term Evolution (LTE) Network," International Conference on Image Processing, Computer Vision, and Pattern Recognition, July, 2014
Database Description
The RAW video database for MVQP project is a sufficiently huge database consisting of various types of shots of movie clips and of various motions. The video database will serve as a good source of videos for the researchers for their research works and studies. The model of the camera used for the video collection for the RAW video database is Sony PMW-F5 CineAlta Digital Cinema Camera 4K. The choice was made so because this model comes with a super 35mm image sensor. AXS-R5 option recorder was used, and to do so it was mounted behind the camera and an additional high speed flash storage of 512 GB was used in order to work with the 4K RAW options. Choosing this model proved to be the right decision as the results were commendable, every little detail was well captured and preserved with the high quality sensor.
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