A prototype application for objective video quality assessment

The area of mobile communications has evolved in the last years and with the introduction of 3rd generation cellphones users can use features like video calls and mobile television. There are various bottlenecks in this kind of communication that introduce distortions to the transmitted video: there...

Full description

Bibliographic Details
Main Author: Moberg, Johan
Format: Bachelor Thesis
Language:English
Published: 2007
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59094
Description
Summary:The area of mobile communications has evolved in the last years and with the introduction of 3rd generation cellphones users can use features like video calls and mobile television. There are various bottlenecks in this kind of communication that introduce distortions to the transmitted video: therefore it is desirable to measure the video quality of these services. A subjective measurement takes long time to conduct, time which often isn’t available. Hence objective measurements with good correlation with the subjective quality evaluations are needed. The purpose of this master thesis is to develop a proof-of-concept application which objectively measures video quality. Traditional video quality algorithms are based on error-sensitivity. The human visual system on the other hand is adapted to extract structural information from the viewing field. In this thesis the Structural Similarity Index Measurement (SSIM) algorithm is used. This algorithm is based on structural distortions and considers image degradations as perceived structural information loss. It is a full reference algorithm and thus needs access to the reference sequence in order to generate a quality rating. To be able to test the SSIM algorithm two video sequences were selected: one of a woman talking on the phone and the other with a rotating chessboard. Different distortions were then applied to the sequences to get a testing material. In the end ten distorted sequences from each reference were chosen, making a total of 20 sequences. A subjective testing was conducted to get a reference quality measure for all generated video sequences. In total, there were 45 participants from Neava in Luleå and Ericsson in Lund in the testing which in the end rendered a mean opinion score (MOS) for each of the 20 sequences. Later the MOS from the subjective tests were compared to the objective quality rating from the SSIM algorithm. In order to obtain the objective quality ratings an application prototype was developed. The prototype implements the SSIM ...