Full Reference Objective Video Quality Assessment with Temporal Consideration

Video quality assessment (VQA) is an extension of image quality assessment (IQA). A video is a series of images arranged in time sequence. Therefore, IQA methods can be used to assess videos quality. A video has three dimensional data; two for the spatial dimensions and one for the temporal dimensi...

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Main Author:	Loh, Woei Tan
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/id/eprint/26581/1/Full%20Reference%20Objective%20Video%2024pgs.pdf http://ir.unimas.my/id/eprint/26581/4/Loh%20Woei.pdf
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spelling	my-unimas-ir.265812023-06-27T04:23:53Z Full Reference Objective Video Quality Assessment with Temporal Consideration 2018 Loh, Woei Tan TK Electrical engineering. Electronics Nuclear engineering Video quality assessment (VQA) is an extension of image quality assessment (IQA). A video is a series of images arranged in time sequence. Therefore, IQA methods can be used to assess videos quality. A video has three dimensional data; two for the spatial dimensions and one for the temporal dimension. IQA methods assess video quality by assessing spatial effects without the need to consider the temporal effects and distortions. This makes IQA methods inappropriate and maybe inaccurate for assessing video quality. In order to apply in real time scenarios, VQA methods have to be reliable and correlated well to the judgement of human visual system (HVS). Furthermore, they have to be computationally efficient to give fast results. Current VQA methods have good correlations with subjective scores but are high in terms of computational complexity. In this thesis, two VQA methods, Index1 and Index2, with lower computational complexity are proposed. Index1 deals with Just Noticeable Difference (JND) in both spatial and temporal parts of the video. For the temporal part, JND is combined with temporal information to account for temporal distortions. For Index2, it is based on the previous work of mean difference structural similarity index (MD-SSIM). The temporal part of Index2 deals with the variation of temporal information. Both of the proposed methods are then compared with state-of-theart VQA methods in terms of performance and computational complexity. The proposed methods were found to have acceptable performance with lower computational complexity. Universiti Malaysia Sarawak (UNIMAS) 2018 Thesis http://ir.unimas.my/id/eprint/26581/ http://ir.unimas.my/id/eprint/26581/1/Full%20Reference%20Objective%20Video%2024pgs.pdf text en public http://ir.unimas.my/id/eprint/26581/4/Loh%20Woei.pdf text en validuser masters Universiti Malaysia Sarawak (UNIMAS) Faculty of Engineering
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Loh, Woei Tan Full Reference Objective Video Quality Assessment with Temporal Consideration
description	Video quality assessment (VQA) is an extension of image quality assessment (IQA). A video is a series of images arranged in time sequence. Therefore, IQA methods can be used to assess videos quality. A video has three dimensional data; two for the spatial dimensions and one for the temporal dimension. IQA methods assess video quality by assessing spatial effects without the need to consider the temporal effects and distortions. This makes IQA methods inappropriate and maybe inaccurate for assessing video quality. In order to apply in real time scenarios, VQA methods have to be reliable and correlated well to the judgement of human visual system (HVS). Furthermore, they have to be computationally efficient to give fast results. Current VQA methods have good correlations with subjective scores but are high in terms of computational complexity. In this thesis, two VQA methods, Index1 and Index2, with lower computational complexity are proposed. Index1 deals with Just Noticeable Difference (JND) in both spatial and temporal parts of the video. For the temporal part, JND is combined with temporal information to account for temporal distortions. For Index2, it is based on the previous work of mean difference structural similarity index (MD-SSIM). The temporal part of Index2 deals with the variation of temporal information. Both of the proposed methods are then compared with state-of-theart VQA methods in terms of performance and computational complexity. The proposed methods were found to have acceptable performance with lower computational complexity.
format	Thesis
qualification_level	Master's degree
author	Loh, Woei Tan
author_facet	Loh, Woei Tan
author_sort	Loh, Woei Tan
title	Full Reference Objective Video Quality Assessment with Temporal Consideration
title_short	Full Reference Objective Video Quality Assessment with Temporal Consideration
title_full	Full Reference Objective Video Quality Assessment with Temporal Consideration
title_fullStr	Full Reference Objective Video Quality Assessment with Temporal Consideration
title_full_unstemmed	Full Reference Objective Video Quality Assessment with Temporal Consideration
title_sort	full reference objective video quality assessment with temporal consideration
granting_institution	Universiti Malaysia Sarawak (UNIMAS)
granting_department	Faculty of Engineering
publishDate	2018
url	http://ir.unimas.my/id/eprint/26581/1/Full%20Reference%20Objective%20Video%2024pgs.pdf http://ir.unimas.my/id/eprint/26581/4/Loh%20Woei.pdf
_version_	1783728312614387712

Full Reference Objective Video Quality Assessment with Temporal Consideration

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