Frame alignment and insertion algorithm for video stream over mobile network

Video stream over mobile network has become popular service influencing trend and lifestyle in society. The condition is highly correlated with customer satisfaction that needs to be managed by service stakeholders. One of the efforts is to evaluate their service quality that can be represented by m...

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主要作者:	Syahbana, Yoanda Alim
格式:	Thesis
语言:	English
出版:	2013
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/47949/25/YoandaAlimSyahbanaMFC2013.pdf
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id	my-utm-ep.47949
record_format	uketd_dc
spelling	my-utm-ep.479492017-07-04T00:42:01Z Frame alignment and insertion algorithm for video stream over mobile network 2013-08 Syahbana, Yoanda Alim QA75 Electronic computers. Computer science Video stream over mobile network has become popular service influencing trend and lifestyle in society. The condition is highly correlated with customer satisfaction that needs to be managed by service stakeholders. One of the efforts is to evaluate their service quality that can be represented by measuring quality of video that they stream to the customer. Peak Signal to Noise (PSNR) is a dominant method to measure video quality that has been widely used. However, PSNR concept cannot be used for video that streamed over wireless and mobile network. It is due to occurrence of packet loss that is inherent in the network and results to frame loss. To overcome this shortcoming, this research proposes an algorithm called frame alignment algorithm to locate frame loss position and do measurement on pair of corresponding frames between frame in reference video and frame in streamed video. This research also enhances the first algorithm accuracy by inserting adjacent frame to the frame loss position, frame insertion algorithm. Simulation of video stream has been conducted to generate video test material, and the proposed algorithms are used to measure quality of the video test material. Performance of the the proposed algorithms are evaluated by benchmarking the experiment result towards the conventional PSNR and the equivalent method, Modified-PSNR (MPSNR) based on Pearson product-Moment Correlation Coefficient (PMCC) value. Based on the result, frame alignment algorithm achieves 0.85 in terms of PMCC value that overcomes inaccuracy of the conventional PSNR that only results 0.77. Frame alignment algorithm also has better performance than MPSNR method that only reaches 0.84. Besides, the investigation on frame insertion algorithm can also enhance accuracy with PMCC value of 0.86. From this result, the proposed algorithms are potential to be used as an alternative method in measuring streamed video quality that still keeps simplicity of PSNR concept but with better accuracy. 2013-08 Thesis http://eprints.utm.my/id/eprint/47949/ http://eprints.utm.my/id/eprint/47949/25/YoandaAlimSyahbanaMFC2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Syahbana, Yoanda Alim Frame alignment and insertion algorithm for video stream over mobile network
description	Video stream over mobile network has become popular service influencing trend and lifestyle in society. The condition is highly correlated with customer satisfaction that needs to be managed by service stakeholders. One of the efforts is to evaluate their service quality that can be represented by measuring quality of video that they stream to the customer. Peak Signal to Noise (PSNR) is a dominant method to measure video quality that has been widely used. However, PSNR concept cannot be used for video that streamed over wireless and mobile network. It is due to occurrence of packet loss that is inherent in the network and results to frame loss. To overcome this shortcoming, this research proposes an algorithm called frame alignment algorithm to locate frame loss position and do measurement on pair of corresponding frames between frame in reference video and frame in streamed video. This research also enhances the first algorithm accuracy by inserting adjacent frame to the frame loss position, frame insertion algorithm. Simulation of video stream has been conducted to generate video test material, and the proposed algorithms are used to measure quality of the video test material. Performance of the the proposed algorithms are evaluated by benchmarking the experiment result towards the conventional PSNR and the equivalent method, Modified-PSNR (MPSNR) based on Pearson product-Moment Correlation Coefficient (PMCC) value. Based on the result, frame alignment algorithm achieves 0.85 in terms of PMCC value that overcomes inaccuracy of the conventional PSNR that only results 0.77. Frame alignment algorithm also has better performance than MPSNR method that only reaches 0.84. Besides, the investigation on frame insertion algorithm can also enhance accuracy with PMCC value of 0.86. From this result, the proposed algorithms are potential to be used as an alternative method in measuring streamed video quality that still keeps simplicity of PSNR concept but with better accuracy.
format	Thesis
qualification_level	Master's degree
author	Syahbana, Yoanda Alim
author_facet	Syahbana, Yoanda Alim
author_sort	Syahbana, Yoanda Alim
title	Frame alignment and insertion algorithm for video stream over mobile network
title_short	Frame alignment and insertion algorithm for video stream over mobile network
title_full	Frame alignment and insertion algorithm for video stream over mobile network
title_fullStr	Frame alignment and insertion algorithm for video stream over mobile network
title_full_unstemmed	Frame alignment and insertion algorithm for video stream over mobile network
title_sort	frame alignment and insertion algorithm for video stream over mobile network
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
url	http://eprints.utm.my/id/eprint/47949/25/YoandaAlimSyahbanaMFC2013.pdf
_version_	1747817270881550336

Frame alignment and insertion algorithm for video stream over mobile network

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