Multimed Tools Appl https://doi.org/10.1007/s11042-018-6107-1 An error-based video quality assessment method with temporal information 1 1 Woei-Tan Loh & David Boon Liang Bong Received: 26 July 2017 /Revised: 27 March 2018 /Accepted: 8 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Videos are amongst the most popular online media for Internet users nowadays. Thus, it is of utmost importance that the videos transmitted through the internet or other transmission media to have a minimal data loss and acceptable visual quality. Video quality assessment (VQA) is a useful tool to determine the quality of a video without human intervention. A new VQA method, termed as Error and Temporal Structural Similarity (EaTSS), is proposed in this paper. EaTSS is based on a combination of error signals, weighted Structural Similarity Index (SSIM) and difference of temporal information. The error signals are used to weight the computed SSIM map and subsequently to compute the quality score. This is a better alternative to the usual SSIM index, in which the quality score is computed as the average of the SSIM map. For the temporal information, the second-order time-differential information are used for quality score computa- tion. From the experiments, EaTSS is
Multimedia Tools and Applications – Springer Journals
Published: Jun 1, 2018
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