Redefining ITU-T P.912 Recommendation Requirements for Subjects of Quality Assessments in Recognition Tasks

Leszczuk, Mikołaj; Kon, Artur Sartori; Dumke, Joel; Janowski, Lucjan

doi:10.1007/978-3-642-30721-8_19

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…Such non-experts must be motivated in an appropriate manner (such as being paid for their time). In [20] shows the validity of this approach. The number of subjects should follow the recommendations of [11].…”

Section: Subjectsmentioning

confidence: 81%

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New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks

Leszczuk¹,

Janowski²

2021

Preprint

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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.

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Section: Subjectsmentioning

confidence: 81%

“…In the first experiment, the subjects were experts -law enforcement officers [18,19]. When the experiment was repeated with non-experts, very similar results were obtained, as long as the non-experts were compensated for their time [20].…”

Section: Subjectsmentioning

confidence: 94%

New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks

Leszczuk¹,

Janowski²

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the first experiment, the subjects were expertslaw enforcement officers [16], [17]. When the experiment was repeated with non-experts, very similar results were obtained, as long as the non-experts were compensated for their time [18].…”

Section: Subjectsmentioning

confidence: 91%

Revising and Improving the ITU-T Recommendation P.912

Leszczuk

2015

JTIT

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It was once thought that high Quality of Service (QoS) performance solves recurrent problems of lowquality multimedia services. Since then, solutions have been proposed to ensure a high level of Quality of Experience (QoE). In this paper, the author attempts to outline an understanding of an accurate meaning of multimedia services quality. Starting from QoS and passing through generalized QoE, the author focuses on subjective aspects and objective quality modeling and optimization of visual performance for Target Recognition Video (TRV) applications (such as video surveillance), to outline the ITU-T standardization path in this area. The revising the ITU-T Recommendation P.912 is proposed to reflect improved subjective test techniques developed since this Recommendation was approved. Also at least some existing errors of reasoning are predicted, which are likely to become evident for the industry in the next decade. Finally, the author invites all researchers working on topics related to TRV to join him in the process of improving P.912.

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“…Section 7.3 of ITU-T P.912 ("Subjects") says that, "Subjects who are experts in the application field of the target recognition video should be used". Nevertheless, based on literature [11], both expert and non-expert subjects can maintain the same response characteristics.…”

Section: Procedures For Subjective Psychophysical Experimentsmentioning

confidence: 99%

Optimising task-based video quality

Leszczuk

2012

Multimed Tools Appl

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Development of techniques for assessing video quality is reviewed. Examples have been provided on the quality of video applications ranging from popular entertainment to new trends such as applications in wide-reaching public systems, not just those used by security forces but also for medical purposes. In particular, two typical usages of task-based video: surveillance video for accurate licence plate recognition, and medical video for credible diagnosis prior to bronchoscopic surgery were introduced by the author. The problem of task-based video quality assessment starting from subjective psychophysiological experiments to objective quality models is discussed. Example test results and models are provided alongside to the descriptions. Finally, a quality optimisation approach, driven by recognition rates is presented.

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Redefining ITU-T P.912 Recommendation Requirements for Subjects of Quality Assessments in Recognition Tasks

Cited by 7 publications

References 3 publications

New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks

New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks

Revising and Improving the ITU-T Recommendation P.912

Optimising task-based video quality

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