Wyniki wyszukiwania - BazTech

1

Unsupervised category learning in perceived video quality

Vejar Andres, Konaszyński Tomasz, Juszka Dawid, Leszczuk Mikołaj

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2023

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nr 4

329--332

EN

In video quality evaluation, the perceived quality is ranked by the participants using a categorical scale of five levels. To study the category learning dependency, the participants were divided into learners and no-learners, with respect to their classification accuracy. An analysis of the performance of the human unsupervised learning from machine learning models is presented in order to study the effects of category learning in the video assessment.

2

Stereoscopic 3DTV Video Quality Metric: the Compressed Average Image Intensity

Wilczewski G.

Journal of Telecommunications and Information Technology

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2018

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nr 2

8--14

EN

This paper presents a newly designed stereoscopic video quality metric. Overall insights towards the creation of mechanisms utilized within the genuine metric are presented herein. Delivery of the core information and motivation behind the features implemented, as well as functionality of the Compressed Average Image Intensity (CAII) quality metric are of utmost importance. The mechanisms created might be characterized as an objective, reliable and versatile quality evaluation tool for advanced analysis of the content delivery chain within stereoscopic video services.

3

FPGA implementation of procedures for video quality assessment

Wielgosz M., Karwatowski M., Pietron M., Wiatr K.

Computer Science

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2018

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Vol. 19 (3)

279--305

EN

The video resolutions used in a variety of media are constantly rising. While manufacturers struggle to perfect their screens, it is also important to ensure the high quality of the displayed image. Overall quality can be measured using a Mean Opinion Score (MOS). Video quality can be affected by miscellaneous artifacts appearing at every stage of video creation and transmission. In this paper, we present a solution to calculate four distinct video quality metrics that can be applied to a real-time video quality assessment system. Our assessment module is capable of processing 8K resolution in real time set at a level of 30 frames per second. The throughput of 2.19 GB/s surpasses the performance of pure software solutions. The module was created using a high-level language to concentrate on architectural optimization.

4

Real time 8K video quality assessment using FPGA

Wielgosz M., Pietroń M., Karwatowski M., Wiatr K.

Measurement Automation Monitoring

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2016

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Vol. 62, No. 6

187--189

EN

This paper presents a hardware architecture of the video quality assessment module. Two different metrics were implemented on FPGA using modern High Level Language for digital system design – Impulse C. FPGA resources consumption of the presented module is low, which enables module-level parallelization. Tests conducted for four modules working concurrently show that 1.96 GB/s throughput can be achieved. The module is capable of processing 8K video stream in a real-time manner i.e. 30 frames/second. Such high performance of the presented solution was achieved due to the series of architectural optimization introduced to the module, such as reduction of data precision and reuse of various module components.

5

Assessment of the spatio-temporal vector median filtering algorithms using colour video quality metrics

Okarma K.

Computer Applications in Electrical Engineering

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2011

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Vol. 9

200--212

EN

In this paper the application of the combined video quality assessment method as well as some other recently developed objective metrics for the analysis of the results of the nonlinear colour video filtering is discussed. The spatio-temporal versions of colour image filtering methods, including the Vector Median Filter, can be obtained using frame-by-frame approach but the proper choice of the spatio-temporal kernel weights and the colour space used during filtration should be based on a reliable video quality assessment. In some earlier papers the combined video quality assessment method has been proposed, which has a highly linear correlation with subjective quality scores and can be extended into the colour version. As the illustration of the problem, some results of the colour video denoising using the spatio-temporal VMF, also in a weighted version, together with the quality assessment results have been presented in the paper.

6

Jakość obrazu dla zastosowań użytkowych: definicje, badania, standaryzacja i aktualne trendy

Leszczuk M.

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2010

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nr 6

242-246

PL

Monitoring bezpieczeństwa publicznego (ruch uliczny, skrzyżowania imprezy masowe, dworce, lotniska i inne publiczne obszary miejskie) z użyciem transmisji i analizy treści wideo w ostatnim czasie zyskuje na znaczeniu z powodu ogólnego wzrostu przestępczości oraz aktów terroryzmu (ataki na WTC, komunikację publiczną w Londynie i Madrycie). Jakość odbioru wideo w celach użytkowych {monitoring) istotnie różni się od jakości odbioru treści wideo w celach rozrywkowych. Zasady oceny, a zwłaszcza maksymalizacji jakości wideo użytkowego, są stosunkowo nową dziedziną. Dotychczasowe rozwiązania sprowadzały się głównie do optymalizacji parametrów sieciowych OoS, względnie - dla wideo w zastosowaniach użytkowych - podejmowano próby przeniesienia metod klasycznych (stworzonych dla treści rozrywkowych) typu PSNR (Peak Signal-to-Noise Ratio) czy też SSIM (Structural S/M/anty). Przedstawiono aktualne trendy w dziedzinie jakości obrazu dla zastosowań użytkowych, istotną uwagę poświęcając pracom jednego z najbardziej wpływowych ciał w tym zakresie, jakim jest Grupa VQiPS, finansowana przez U.S. Department of Homeland Security, powołana do życia w 2008 roku. Dostrzeżono również problem ochrony obywateli przed "permanentną inwigilacją" w stylu orwellowskim, jako że monitoring publiczny jest nierozerwalnie powiązany z ingerencją w prywatność obywateli.

EN

Monitoring of public safety (traffic, intersections, mass events, stations, airports and other public urban areas) using the transmission and analysis of video content gains in the recent period on the importance of the overall increase in crime and acts of terrorism (attacks on the WTC, public transport in London and Madrid). Quality of Experience (QoE) of video content used for entertainment (digital TV, including HDTV, and multimedia on the Internet) differs materially from the QoE of surveillance video used for recognition tasks in CCTV monitoring, because in the latter case, the subjective satisfaction of the consignee shall recede in achieving the given function (event detection, object recognition). Assessment principles, and especially maximization of the surveillance video quality, arę a relatively new field. State-of-the-Art solutions were limited mainly to optimizing the network QoS parameters (bandwidth, packet loss probability), eventually, for surveillance video, classical methods (created for entertainment content), like the PSNR (Peak Signal English-to-Noise Ratio) or SSIM (Structural SIMilarity) were applied. The article presents current trends in the field of image quality for commercial applications, giving significant attention to the work of one of the most influential bodies in this field, which is the VQiPS (Video Quality in Public Safety) Workgroup, funded by the U.S. Department of Homeland Security, set up in 2008. The article also recognizes the pro-blem of protecting citizens against Orwellian style "permanent surveillance", as the monitoring of the public is inextricably linked to the intrusion of privacy.