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A novel objective no-reference metric for digital video quality assessment Yang, F, Wan, S, Chang, Y and Wu, H 2005, 'A novel objective no-reference metric for digital video quality assessment', IEEE Signal Processing Letters, vol. 12, pp. 685-688. Document type: Journal Article Collection: Journal Articles Attached Files Name Description MIMEType Size n2005001546.pdf Published version application/pdf 139.54KB Title A novel objective no-reference metric for digital video quality assessment Author(s) Yang, F Wan, S Chang, Y Wu, H Year 2005 Journal name IEEE Signal Processing Letters Volume number 12 Start page 685 End page 688 Total pages 3 Publisher IEEE Abstract A novel objective no-reference metric is proposed for video quality assessment of digitally coded videos containing natural scenes. Taking account of the temporal dependency between adjacent images of the videos and characteristics of the human visual system, the spatial distortion of an image is predicted using the differences between the corresponding translational regions of high spatial complexity in two adjacent images, which are weighted according to temporal activities of the video. The overall video quality is measured by pooling the spatial distortions of all images in the video. Experiments using reconstructed video sequences indicate that the objective scores obtained by the proposed metric agree well with the subjective assessment scores. Subject Image Processing DOI - identifier 10.1109/LSP.2005.855553 Copyright notice © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ISSN 1070-9908 Related Links Link Description http://dx.doi.org/10.1109/LSP.2005.855553 Link to Published Version   Versions Version Filter Type Fri, 31 Jul 2009, 17:26:36 EST Mon, 03 Aug 2009, 13:56:41 EST Tue, 18 Sep 2012, 09:21:54 EST Tue, 17 Jun 2014, 02:50:46 EST Filtered Full Citation counts: Cited 46 times in Scopus Article | Citations Altmetric details: Access Statistics: 352 Abstract Views, 780 File Downloads  -  Detailed Statistics Created: Fri, 31 Jul 2009, 11:29:25 EST by Catalyst Administrator