Skip to main content
SpringerLink
Log in

Recognition Tasks

  • Chapter
  • First Online:
Book cover Quality of Experience

Part of the book series: T-Labs Series in Telecommunication Services ((TLABS))

Abstract

This chapter proposes a definition of Quality of Experience (QoE) in the case of task based applications. The definition is followed by the describing of the current work in the field of the QoE methodology in the specific case of a security system. Different metrics predicting QoE proposed in the literature are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    International Telecommunication Union—Telecommunication Standardization Sector.

References

  1. ITU-T Recommendation P.910 (1999) Subjective video quality assessment methods for multimedia applications. International Telecommunication Union, Geneva

    Google Scholar 

  2. ACLU (2011) Chicago’s video surveillance cameras. Technical report, ACLU of Illinois

    Google Scholar 

  3. Möller S, Le Callet P, Perkis A (eds) (2012) Qualinet white paper on definitions of quality of experience: output version of the Dagstuhl seminar 12181, 1.1 edn. In: European network on quality of experience in multimedia systems and services (COST Action IC 1003), Lausanne

    Google Scholar 

  4. ITU-T Recommendation BT.500-13 (2012) Methodology for the subjective assessment of the quality of television pictures. International Telecommunication Union, Geneva

    Google Scholar 

  5. Ford CG, McFarland MA, Stange IW (2009) Subjective video quality assessment methods for recognition tasks. In: Proceedings of the SPIE, vol 7240, pp 72, 400Z–72, 400Z–11

    Google Scholar 

  6. ITU-T Recommendation P.912 (2008) Subjective video quality assessment methods for recognition tasks. International Telecommunication Union, Geneva

    Google Scholar 

  7. Spangler T (2009) Golden eyes. Multichannel News

    Google Scholar 

  8. Leszczuk M, Koń A, Dumke J, Janowski L (2012) Redefining ITU-T P.912 recommendation requirements for subjects of quality assessments in recognition tasks. In: Dziech A, Czyewski A (eds) Multimedia communications, services and security, communications in computer and information science, vol 287. Springer, Heidelberg, pp 188–199

    Google Scholar 

  9. VQEG (2010) Report on the validation of video quality models for high definition video content, version 2.0 edn. http://www.vqeg.org

  10. Janowski L (2012) Task-based subject validation: reliability metrics. In: Fourth international workshop on quality of multimedia experience (QoMEX), pp 182–187

    Google Scholar 

  11. Larabi MC, Nicholson D (2011) Monitoring image quality for security applications. In: IS&T/SPIE electronic imaging: image quality system performance. Burlingame, CA

    Google Scholar 

  12. Tsifouti A, Triantaphillidou S, Bilissi E, Larabi MC (2013) Acceptable nitrates for human face identification from CCTV imagery. In: IS&T/SPIE electronic imaging: image quality system performance. Burlingame, CA

    Google Scholar 

  13. Ghinea G, Chen SY (2008) Measuring quality of perception in distributed multimedia: verbalizers vs. imagers. Comput Hum Behav 24(4):1317–1329

    Article  Google Scholar 

  14. Ghinea G, Thomas JP (1998) QoS impact on user perception and understanding of multimedia video clips. In: Proceedings of the sixth ACM international conference on multimedia, MULTIMEDIA 98. ACM, New York, USA, pp 49–54. doi:10.1145/290747.290754. http://doi.acm.org

  15. Janowski L, Romaniak P (2010) QoE as a function of frame rate and resolution changes. In: Zeadally S, Cerqueira E, Curado M, Leszczuk M (eds) Future multimedia networking. Lecture notes in computer science, vol 6157. Springer, Heidelberg, pp 34–45

    Google Scholar 

  16. Strohmeier D, Jumisko-Pyykko S, Kunze K (2010) Open profiling of quality: a mixed method approach to understanding multimodal quality perception. Adv Multiedia 3:1–3:17. doi:10.1155/2010/658980. http://dx.doi.org

  17. Duplaga M, Leszczuk M, Papir Z, Przelaskowski A (2008) Evaluation of quality retaining diagnostic credibility for surgery video recordings. In: Proceedings of the 10th international conference on visual information systems: web-based visual information search and management, VISUAL’08, Springer, Heidelberg, pp 227–230

    Google Scholar 

  18. Nyman G, Radun J, Leisti T, Oja J, Ojanen H, Olives JL, Vuori T, Hakkinen J (2006) What do users really perceive—probing the subjective image quality experience. In: Proceedings of the SPIE international symposium on electronic imaging 2006: imaging quality and system performance III, vol 6059, pp 1–7

    Google Scholar 

  19. Radun J, Leisti T, Hakkinen J, Ojanen H, Olives Radun J, Leisti T, Hakkinen J, Ojanen H, Olives JL, Vuori T, Nyman G (2008) Content and quality: interpretation-based estimation of image quality. ACM Trans Appl Percept 4(2):1–2:15. doi:10.1145/1278760.1278762. http://doi.acm.org

  20. Faye P, Bremaud D, Daubin MD, Courcoux P, Giboreau A, Nicod H (2004) Perceptive free sorting and verbalisation tasks with naive subjects: an alternative to descriptive mappings. Food Qual Prefer 15(7–8):781–791. doi:10.1016/j.foodqual.2004.04.009. http://www.sciencedirect.com/science/article/pii/S0950329304000540. (Fifth Rose Marie Pangborn Sensory Science Symposium)

  21. Picard D, Dacremont C, Valentin D, Giboreau A (2003) Perceptual dimensions of tactile textures. Acta Psychol 114(2):165–184. doi:10.1016/j.actpsy.2003.08.001. http://www.sciencedirect.com/science/article/pii/S0001691803000751

    Google Scholar 

  22. Leszczuk M, Janowski L, Romaniak P, Glowacz A, Mirek R (2011) Quality assessment for a licence plate recognition task based on a video streamed in limited networking conditions. In: Dziech A, Czyewski A (eds) Multimedia communications, services and security, communications in computer and information science, vol 149. Springer, Heidelberg, pp 10–18

    Google Scholar 

  23. Janowski L, Kozlowski P, Baran R, Romaniak P, Glowacz A, Rusc T (2012) Quality assessment for a visual and automatic license plate recognition. Multimedia Tools Appl 1–18. doi:10.1007/s11042-012-1199-5

  24. Dumke J (2013) Visual acuity and task-based video quality in public safety applications. In: Proceedings of the SPIE 8653, image quality and system performance X, 865306 pp 865, 306–865, 306–307. doi:10.1117/12.2004882. http://dx.doi.org/10.1117/12.2004882

  25. Leszczuk M (2011) Assessing task-based video quality—a journey from subjective psycho-physical experiments to objective quality models. In: Dziech A, Czyewski A (eds) Multimedia communications, services and security, communications in computer and information science, vol 149. Springer, Heidelberg, pp 91–99

    Google Scholar 

  26. Leszczuk M (2012) Optimising task-based video quality. Multimedia Tools Appl 1–18. doi:10.1007/s11042-012-1161-6

  27. Maalouf A, Larabi MC, Nicholson D (2012) Offline quality monitoring for legal evidence images in video-surveillance applications. Multimedia Tools Appl 1–30. doi:10.1007/s11042-17012-17126817-9

  28. Leszczuk MI, Stange I, Ford C (2011) Determining image quality requirements for recognition tasks in generalized public safety video applications: definitions, testing, standardization, and current trends. In: IEEE International symposium on the broadband multimedia systems and broadcasting (BMSB), pp 1–5. doi:10.1109/BMSB.2011.5954938

  29. VQEG (2013) The video quality experts group. http://www.vqeg.org

  30. Leszczuk M, Dumke J (2012) The quality assessment for recognition tasks (QART), VQEG. http://www.its.bldrdoc.gov/vqeg/project-pages/qart/qart.aspx

  31. ISO-22311:2012 (2012) Societal security videosurveillance format for interoperability. Technical report, ISO 2012

    Google Scholar 

  32. Keimel C, Habigt J, Horch C, Diepold K (2012) Video quality evaluation in the cloud. In: Proceddings of 19th international packet video workshop (PV) 2012, pp 155–160

    Google Scholar 

  33. Kunka B, Kostek B (2009) Non-intrusive infrared-free eye tracking method. In: Signal processing algorithms, architectures, arrangements, and applications conference proceedings (SPA) 2009, pp 105–109

    Google Scholar 

Download references

Acknowledgments

The research leading to these results has received funding from the European Communities Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 218086 (INDECT).

Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Kraków, Poland

    Lucjan Janowski & Mikołaj Leszczuk

  2. XLIM, Université de Poitiers, Poitiers, France

    Mohamed-Chaker Larabi

  3. Technical University of Denmark, Kongens Lyngby, Denmark

    Anna Ukhanova

Authors
  1. Lucjan Janowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mikołaj Leszczuk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamed-Chaker Larabi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anna Ukhanova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lucjan Janowski .

Editor information

Editors and Affiliations

  1. Quality and Usability Lab Telekom Innovation Laboratories, TU Berlin, Berlin, Germany

    Sebastian Möller

  2. Assessment of IP-based Applications Telekom Innovation Laboratories, TU Berlin, Berlin, Germany

    Alexander Raake

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Janowski, L., Leszczuk, M., Larabi, MC., Ukhanova, A. (2014). Recognition Tasks. In: Möller, S., Raake, A. (eds) Quality of Experience. T-Labs Series in Telecommunication Services. Springer, Cham. https://doi.org/10.1007/978-3-319-02681-7_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02681-7_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02680-0

  • Online ISBN: 978-3-319-02681-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation