Video quality assessment method: MD-SSIM

In this paper, video quality assessment (VQA) for compression losses is the main focus. A new method, MD-SSIM (Mean Squared Error Difference SSIM) is used for detecting the spatial distortion. For the temporal part, the differences of the SSIM scores of each frame are used to form the quality scores...

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Main Authors: Woei-Tan, Loh, Bong, David B.L.
Format: Proceeding
Language:English
Published: 2015
Subjects:
Online Access:http://ir.unimas.my/id/eprint/13033/
http://ir.unimas.my/id/eprint/13033/1/Video%20quality%20assessment%20method%20MD-SSIM%20%28abstract%29.pdf
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author Woei-Tan, Loh
Bong, David B.L.
author_facet Woei-Tan, Loh
Bong, David B.L.
author_sort Woei-Tan, Loh
building UNIMAS Institutional Repository
collection Online Access
description In this paper, video quality assessment (VQA) for compression losses is the main focus. A new method, MD-SSIM (Mean Squared Error Difference SSIM) is used for detecting the spatial distortion. For the temporal part, the differences of the SSIM scores of each frame are used to form the quality scores. In addition, this method has higher computational speed and competent performance as compared to other existing algorithms.
first_indexed 2025-11-15T06:37:53Z
format Proceeding
id unimas-13033
institution Universiti Malaysia Sarawak
institution_category Local University
language English
last_indexed 2025-11-15T06:37:53Z
publishDate 2015
recordtype eprints
repository_type Digital Repository
spelling unimas-130332017-02-14T06:55:57Z http://ir.unimas.my/id/eprint/13033/ Video quality assessment method: MD-SSIM Woei-Tan, Loh Bong, David B.L. N Visual arts (General) For photography, see TR In this paper, video quality assessment (VQA) for compression losses is the main focus. A new method, MD-SSIM (Mean Squared Error Difference SSIM) is used for detecting the spatial distortion. For the temporal part, the differences of the SSIM scores of each frame are used to form the quality scores. In addition, this method has higher computational speed and competent performance as compared to other existing algorithms. 2015 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/13033/1/Video%20quality%20assessment%20method%20MD-SSIM%20%28abstract%29.pdf Woei-Tan, Loh and Bong, David B.L. (2015) Video quality assessment method: MD-SSIM. In: IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 6-8 June 2015, Taipei. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7216904
spellingShingle N Visual arts (General) For photography, see TR
Woei-Tan, Loh
Bong, David B.L.
Video quality assessment method: MD-SSIM
title Video quality assessment method: MD-SSIM
title_full Video quality assessment method: MD-SSIM
title_fullStr Video quality assessment method: MD-SSIM
title_full_unstemmed Video quality assessment method: MD-SSIM
title_short Video quality assessment method: MD-SSIM
title_sort video quality assessment method: md-ssim
topic N Visual arts (General) For photography, see TR
url http://ir.unimas.my/id/eprint/13033/
http://ir.unimas.my/id/eprint/13033/
http://ir.unimas.my/id/eprint/13033/1/Video%20quality%20assessment%20method%20MD-SSIM%20%28abstract%29.pdf