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Revising and Improving the ITU-T Recommendation P.912

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Języki publikacji
EN
Abstrakty
EN
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.
Słowa kluczowe
EN
CCTV   ITU-T   P.912   QoE   QoS   TRV  
Rocznik
Tom
Strony
10--14
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
autor
  • AGH University of Science and Technology, Department of Telecommunications, Mickiewicza st 30, 30-059 Krakow, Poland
Bibliografia
  • [1] E. Cerqueira, S. Zeadally, M. Leszczuk, M. Curado, and A. Mauthe, “Recent advances in multimedia networking,” Multim. Tools and Appl., vol. 54, no. 3, pp. 635–647, 2011.
  • [2] M. Grega, L. Janowski, M. Leszczuk, P. Romaniak, and Z. Papir, “Quality of experience evaluation for multimedia services”, Telecomm. Rev., vol. 81, no. 4, pp. 142–153, 2008.
  • [3] M. Mu, P. Romaniak, A. Mauthe, M. Leszczuk, L. Janowski, and E. Cerqueira, “Framework for the integrated video quality assessment”, Multim. Tools and Appl., vol. 61, no. 3, pp. 787–817, 2012.
  • [4] M. Leszczuk, L. Janowski, P. Romaniak, and Z. Papir, “Assessing quality of experience for high definition video streaming under diverse packet loss patterns”, Signal Proces.: Image Commun., vol. 28, no. 8, pp. 903–916, 2013.
  • [5] M. Leszczuk, I. Stange, and C. Ford, “Determining image quality requirements for recognition tasks in generalized public safety video applications: Definitions, testing, standardization, and current trends”, in Proc. 2011 IEEE Int. Symp. Broadband Multim. Sys. Broadcast. (BMSB), , N¨urnberg, Germany, 2011, pp. 1–5.
  • [6] S. M¨oller and A. Raake, Eds., Quality of Experience: Advanced Concepts, Applications and Methods. Cham: Springer, 2014.
  • [7] K. Brunnstr ¨om et al., “Qualinet White Paper on Definitions of Quality of Experience”, Fifth Qualinet General Meeting, Novi Sad, Rep. of Serbia, Mar. 12, 2013.
  • [8] M. Leszczuk, “Optimising task-based video quality”, Multim. Tools and Appl., vol. 68, no. 1, pp. 41–58, 2014.
  • [9] “Subjective video quality assessment methods for recognition tasks”, ITU-T P.912, 2008.
  • [10] “Subjective video quality assessment methods for multimedia applications”, ITU-T P.910, 1999.
  • [11] “Digital Transport of Video Teleconferencing/Video Telephony Signals – Video Test Scenes for Subjective and Objective Performance Assessment”, ANSI T1.801.01, 1995.
  • [12] M. Leszczuk and L. Janowski, “Database for video quality assessment in license plate recognition”, in Proc. Sig. Proces.: Algorithms, Architectures, Arrangements, and Applications SPA 2013, Poznan, Poland, 2013, pp. 51–55.
  • [13] “Methods for subjective determination of transmission quality”, ITU-T P.800, 1996.
  • [14] R. Hamming, “Error detecting and error correcting codes”, Bell System Tech. J., vol. 26, no. 2, pp. 147–160, 1950.
  • [15] V. Levenshtein, “Binary codes capable of correcting deletions, insertions and reversals”, Soviet Physics Doklady, vol. 10, p. 707, 1966.
  • [16] VQiPS, “Video quality tests for object recognition applications”, Public Safety Communications DHS-TR-PSC-10-09, U.S. Department of Homeland Security’s Office for Interoperability and Compatibility, June 2010.
  • [17] VQiPS, “Recorded-video quality tests for object recognition tasks”, Public Safety Communications DHS-TR-PSC-11-01, U.S. Department of Homeland Security’s Office for Interoperability and Compatibility, June 2011.
  • [18] M. Leszczuk, A. Kon, J. Dumke, and L. Janowski, “Redefining ITU-T p.912 recommendation requirements for subjects of quality assessments in recognition tasks”, in Multimedia Communications, Services and Security, A. Dziech and A. Czyzewski, Eds., Communications in Computer and Information Science, vol. 287, pp. 188–199. Berlin-Heidelberg: Springer, 2012.
  • [19] A. Watson, “Video acuity: A metric to quantify the effective performance of video systems”, in Imaging Systems and Applications ISA 2011, Toronto, Canada, 2011.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-c07d0879-0184-4b67-95c5-7532b736ecb3
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