Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks

Version 1 : Received: 20 January 2021 / Approved: 22 January 2021 / Online: 22 January 2021 (08:43:35 CET)

How to cite: Leszczuk, M.; Janowski, L. New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks. Preprints 2021, 2021010435 (doi: 10.20944/preprints202101.0435.v1). Leszczuk, M.; Janowski, L. New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks. Preprints 2021, 2021010435 (doi: 10.20944/preprints202101.0435.v1).

Abstract

It was once thought that high QoS (Quality of Service) performance solves recurrent problems of low-quality multimedia services. Since then, solutions have been proposed to ensure a high level of QoE (Quality of Experience). In this document, the authors attempt to outline their understanding of an accurate meaning of quality of multimedia services. Starting from QoS and passing through generalised QoE, the authors focus on aspects of subjective and objective quality modelling and optimisation of visual performance for TRV (Target Recognition Video) applications (such as video surveillance), outlining the path of ITU-T standardisation in this area. The authors revised the ITU-T Recommendation P.912 to reflect improved subjective test techniques developed since this Recommendation was approved. The authors also attempt to predict at least some existing errors of reasoning, which are likely to become evident for the industry in the next decade.

Subject Areas

QoS; QoE; ITU-T; TRV; P.912; CCTV

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