Large-scale research on quality of experience (QoE) algorithms

• Autorzy: Leszczuk M. , Szczerba B. , Głowacz A. , Derkacz J. , Dziech A. , Romaniak P.
• Języki publikacji: EN

Abstrakty

EN

The large variety of video data sources means variability not only in terms of included content, but also in terms of quality.Therefore, quality assessment provides an additional dimension.The paper describes a comprehensive evaluation experiment on perceived video quality. Consequently, in summary, 19 200 000 video frames will be processed. Given the scale of the experiment, it is set up on a computer cluster in order to accelerate the calculations significantly. This work on Quality of Experience (QoE) is synchronized with that conducted by the Video Quality Experts Group (VQEG), in particular the Joint Efforts Group (JEG) – Hybrid group project.

Słowa kluczowe

EN

video; compresion; QoE; MOS; H.264

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2013
• Tom: Vol. 14 (1)
• Strony: 63--75
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Leszczuk M.

• AGH University of Science and Technology, Krakow, Poland

autor

Szczerba B.

• AGH University of Science and Technology, Krakow, Poland
• ACC CYFRONET, Krakow, Poland

autor

Głowacz A.

• AGH University of Science and Technology, Krakow, Poland

autor

Derkacz J.

• AGH University of Science and Technology, Krakow, Poland

autor

Dziech A.

• AGH University of Science and Technology, Krakow, Poland

autor

Romaniak P.

• AGH University of Science and Technology, Krakow, Poland
• ACC CYFRONET, Krakow, Poland

Bibliografia

• [1] Barkowsky M., Bialkowski J., Eskofier B., Bitto R., Kaup A.: Temporal trajectory aware video quality measure. Selected Topics in Signal Processing, 3(2):266–279, 2009.
• [2] Barkowsky M., Staelens N., Janowski L., Koudota Y., Leszczuk M., Urvoy M., Hummelbrunner P., Sedano I., Brunnstrom K.: Subjective experiment data set for joint development of hybrid video quality measurement algorithms. In EuroITV – 10th European Conference on Interactive TV, pp. 254–257, Berlin, July 2012. Fraunhofer Institute for Open Communication Systems, FOKUS.
• [3] Barkowsky M., Staelens N., Janowski L.: The JEG Hybrid Group. VQEG. http://www.its.bldrdoc.gov/vqeg/project-pages/jeg/jeg.aspx.
• [4] CDVL. The Consumer Digital Video Library. http://www.cdvl.org/.
• [5] Leszczuk M., Głowacz A., Derkacz J., Dziech A., Romaniak P., Szczerba B.: Large-scale video compression research work on quality of experience (QoE) evaluation for VQEG JEG-Hybrid project. In 6th International Symposium on signal, Image, Video and Communications ISIVC, pp. 188-191, Valenciennes, France, Jul 2012.
• [6] Mu M., Romaniak P., Mauthe A., Leszczuk M., Janowski L., Cerqueira E.: Framework for the integrated video quality assessment. Multimedia Tools and Applications, pp. 1-31, 2012. 10.1007/s11042-011-0946-3.
• [7] Seshadrinathan K., Bovik A.C.: Motion tuned spatio-temporal quality assessment of natural videos. Image Processing, 19(2): 335-350, 2010.
• [8] Sheikh H. R.: Bovik, A visual information fidelity approach to video quality assessment. In The First International Workshop on Video Processing and Quality Metrics for Consumer Electronics, pp. 23-25, 2005.
• [9] International Telecomunication Union: ITU-T P.910, Subjective video quality assessment methods for multimedia applications. 1999.
• [10] VQEG. Test-Plan for Evaluation of Video Quality Models for Use with High Definition TV Content.
• [11] VQEG. The Video Quality Experts Group. http://www.vqeg.org/.
• [12] Wang Z., Lu L., Bovik A.C.: Video quality assessment based on structural distortion measurement. Signal Processing: Image Communication, 19(2):121-13, 2004.
• [13] Winkler S.: Digital Video Quality - Vision Models and Metrics. John Wiley & Sons, Ltd. 2005.
• [14] Wolf S., Pinson M.H.: Spatial-temporal distortion metrics for in-service quality monitoring of any digital video system. In Proc. SPIE, 3845:266-277, 1999.