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

• Autorzy: Wilczewski G.

Identyfikatory

DOI

10.26636/jtit.2018.122917

• Języki publikacji: EN

Abstrakty

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.

Słowa kluczowe

EN

3D image analysis; image impairments; stereoscopy; video quality

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2018
• Tom: nr 2
• Strony: 8--14
• Opis fizyczny: Bibliogr. 13 poz., rys., fot.

Twórcy

autor

Wilczewski G.

• Institute of Telecommunications, Faculty of Electronics and Information Technology Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland

Bibliografia

• [1] Cisco Systems, “Cisco Visual Networking Index: Forecast and Methodology, 2015—2020”, Jun 2016 [Online]. Available: http://bit.ly/295yXfL
• [2] N. Fimic, S. Tanackovic, J. Kovacevic, and M. Temerinac, “Implementation of Multi-Format Adaptive Streaming Server”, in Proc. 5th IEEE ICCE Berlin Conference, Berlin, Germany, 2015, pp. 218–220 (doi: 10.1109/ICCE-Berlin.2015.7391239).
• [3] G. Wilczewski, “Analysis of Content Quality Evaluation within 3DTV Service Distribution Systems”, J. of Telecommun. and Inform. Technol., no. 1, pp. 16–20, 2014.
• [4] G. Wilczewski: “An objective method for a video quality evaluation a 3DTV service”, Proc. Symp. on Photonics Applic. in Astr., Commun., and High-Energy Physics Exper. Wilga 2015, Wilga, Poland, 2015, pp. 231–237 (doi: 10.1117/12.2205197).
• [5] D. Minoli, 3DTV Content Capture, Encoding and Transmission, New York: Wiley, 2010.
• [6] A. Vetro, T. Wiegand, and G. J. Sullivan, “Overview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard”, Proc. of the IEEE, vol. 99, no. 4, pp. 626–642, 2011 (doi: 10.1109/IPROC.2010.2098830).
• [7] G. Wilczewski, R. Mielowski, K. Perlicki, M. Siergiejczyk, and E. Kowalczyk, “Data Center resources monitoring for resilient telecommunication services”, Przegląd Elektrotechniczny, no. 91, pp. 225–228, 2015 [in Polish] (doi: 10.15199/48.2015.10.47).
• [8] T. H. Luan, L. X. Cai, and X. S. Shen, “Impact of Network Dynamics on User’s Video Quality: Analytical Framework and QoS Provision”, IEEE Transact. on Multimedia, vol. 12, no. 1, pp. 64–78, 2010 (doi: 10.1109.TMM.2009.2036294).
• [9] R. A. Farrugia and C. J. Debono, “A Hybrid Error Control and Artifact Detection Mechanism for Robust Decoding of H.264/AVC Video Sequences”, IEEE Transact. on Circuits and Systems for Video Technol., vol. 20, no. 5, pp. 756–762, 2010 (doi: 10.1109/TCSVT.2010).
• [10] “Objective perceptual multimedia video quality measurement of HDTV for digital cable television in the presence of a full reference”, ITU-T J.341 Recommendation, 2016.
• [11] T. Tian, X. Jiang, and X. Du, “Subjective quality assessment of compressed 3D video”, in Proc. 7th Int. Congress on Image and Signal Proces. CISP, Dalian, Liaoning, China, 2014, pp. 606–611 (doi: 10.1109/CISP.2014.7003851).
• [12] “Methodology for the subjective assessment of the quality of television pictures”, ITU-R BT.500-13 Recommendation, 2012.
• [13] “Subjective Assessment Methods for 3D Video Quality”, ITU-T P.915 Recommendation, 2016.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).