Reduced-reference video quality metric based on edge information

In multimedia transmission, it is important to rely on an objective quality metric which accurately represents the subjective quality of processed images and video sequences. Reduced-reference metrics make use of side-information that is transmitted to the receiver for estimating the quality of...

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Main Authors:	Abdul Rahman, Farah Diyana, Agrafiotis, Dimitris, Ibrahim, Ahmad Imran
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	TA Engineering (General). Civil engineering (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/67291/ http://irep.iium.edu.my/67291/ http://irep.iium.edu.my/67291/1/67291_Reduced-reference%20video%20quality%20metric%20based_complete.pdf http://irep.iium.edu.my/67291/2/67291_Reduced-reference%20video%20quality%20metric%20based_scopus.pdf

id	iium-67291
recordtype	eprints
spelling	iium-672912018-11-01T02:30:51Z http://irep.iium.edu.my/67291/ Reduced-reference video quality metric based on edge information Abdul Rahman, Farah Diyana Agrafiotis, Dimitris Ibrahim, Ahmad Imran TA Engineering (General). Civil engineering (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices In multimedia transmission, it is important to rely on an objective quality metric which accurately represents the subjective quality of processed images and video sequences. Reduced-reference metrics make use of side-information that is transmitted to the receiver for estimating the quality of the received sequence with low complexity. In this paper, novel Edgebased Dissimilarity Reduced-Reference video quality metric (EDIRR) is proposed. The metric is evaluated by finding the dissimilarity between the edge information of original and distorted sequences. The edge degradation can be detected in this manner as perceived video quality is highly associated with edge structural. In this paper, the aim is to construct a novel RR video quality metric based on edge dissimilarity for video quality assessment. The proposed metric is derived from the motivation that human perception understands an image mainly according to its low-level features, specifically the edges, which are a measure of the significance of a local structure. From the results obtained, there is a moderate positive correlation between the proposed metric score with the subjective scores in the overall observation but with correlation for tested sequences with a lower DMOS. EDIRR, with LCC of 0.938, outperforms PSNR and VIFP on wireless distortion induced sequences and the proposed metric, with LCC of 0.988, performs on a par with PSNR, SSIM and VIFP for H.264 compressions distortions. Institute of Electrical and Electronics Engineers Inc. 2018-03-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67291/1/67291_Reduced-reference%20video%20quality%20metric%20based_complete.pdf application/pdf en http://irep.iium.edu.my/67291/2/67291_Reduced-reference%20video%20quality%20metric%20based_scopus.pdf Abdul Rahman, Farah Diyana and Agrafiotis, Dimitris and Ibrahim, Ahmad Imran (2018) Reduced-reference video quality metric based on edge information. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017, Putrajaya. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8312035
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TA Engineering (General). Civil engineering (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Abdul Rahman, Farah Diyana Agrafiotis, Dimitris Ibrahim, Ahmad Imran Reduced-reference video quality metric based on edge information
description	In multimedia transmission, it is important to rely on an objective quality metric which accurately represents the subjective quality of processed images and video sequences. Reduced-reference metrics make use of side-information that is transmitted to the receiver for estimating the quality of the received sequence with low complexity. In this paper, novel Edgebased Dissimilarity Reduced-Reference video quality metric (EDIRR) is proposed. The metric is evaluated by finding the dissimilarity between the edge information of original and distorted sequences. The edge degradation can be detected in this manner as perceived video quality is highly associated with edge structural. In this paper, the aim is to construct a novel RR video quality metric based on edge dissimilarity for video quality assessment. The proposed metric is derived from the motivation that human perception understands an image mainly according to its low-level features, specifically the edges, which are a measure of the significance of a local structure. From the results obtained, there is a moderate positive correlation between the proposed metric score with the subjective scores in the overall observation but with correlation for tested sequences with a lower DMOS. EDIRR, with LCC of 0.938, outperforms PSNR and VIFP on wireless distortion induced sequences and the proposed metric, with LCC of 0.988, performs on a par with PSNR, SSIM and VIFP for H.264 compressions distortions.
format	Conference or Workshop Item
author	Abdul Rahman, Farah Diyana Agrafiotis, Dimitris Ibrahim, Ahmad Imran
author_facet	Abdul Rahman, Farah Diyana Agrafiotis, Dimitris Ibrahim, Ahmad Imran
author_sort	Abdul Rahman, Farah Diyana
title	Reduced-reference video quality metric based on edge information
title_short	Reduced-reference video quality metric based on edge information
title_full	Reduced-reference video quality metric based on edge information
title_fullStr	Reduced-reference video quality metric based on edge information
title_full_unstemmed	Reduced-reference video quality metric based on edge information
title_sort	reduced-reference video quality metric based on edge information
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2018
url	http://irep.iium.edu.my/67291/ http://irep.iium.edu.my/67291/ http://irep.iium.edu.my/67291/1/67291_Reduced-reference%20video%20quality%20metric%20based_complete.pdf http://irep.iium.edu.my/67291/2/67291_Reduced-reference%20video%20quality%20metric%20based_scopus.pdf
first_indexed	2023-09-18T21:35:33Z
last_indexed	2023-09-18T21:35:33Z
_version_	1777412796637511680

Reduced-reference video quality metric based on edge information

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