Janowski Lucjan, dr hab. inż., prof. AGH

WIEiT-it Instytut Telekomunikacji i Cyberbezpieczeństwa

Wydział Informatyki, Elektroniki i Telekomunikacji

informatyka techniczna i telekomunikacja

100

ljanowsk@agh.edu.pl

Habilitacja: Metody analizy wskaźników QoE z uwzględnieniem niepewności respondenta
Wydział:: AGH Wydział Informatyki, Elektroniki i Telekomunikacji
Dziedzina:: nauki techniczne
Data uchwały Rady Wydziału:: 27.09.2018
Stopień naukowy:: dr hab. nauk technicznych
Dyscyplina:: telekomunikacja
Słowa kluczowe:: wskaźniki QoE
Uwagi:: Rozprawę habilitacyjną stanowi cykl 13 publikacji: [1] Janowski L., Papir Z. (2009). Modeling subjective tests of quality of experience with a generalized linear model. W: Quality of Multimedia Experience, QoMEx 2009, international workshop. Piscataway: IEEE, s. 35-40 ; [2] Głowacz A., [et al.] (2010). Automated qualitative assessment of multi-modal distortions in digital images based on GLZ. Annales of Telecommunications vol. 65 nos. 1-2, s. 3-17 ; [3] Janowski L., Romaniak P. (2010). QoE as a function of frame rate and resolution changes. [W:] 3rd international workshop on Future Multimedia Networking. Eds. E. Zeadally, [et al.]. Berlin, Heidelberg: Springer-Verlag, s. 34-45. Lecture Notes in Computer Science, 6157 ; [4] Janowski L. (2012). Task-based subject validation: reliability metrics. W: Quality of Multimedia Experience, QoMEX 2012, fourth international workshop. Piscataway: IEEE, s. 182-187 ; [5] Pinson M. H., [et al.] (2012). The influence of subjects and environment on audiovisual subjective tests: an international study. IEEE Journal of Selected Topics in Signal Processing vol. 6 no. 6, s. 640-651 ; [6] Janowski L., Romaniak P., Papir Z. (2012). Content driven QoE assessment for video frame rate and frame resolution reduction. Multimedia Tools and Applications vol. 61 no. 3, s. 769-786 ; [7] Schatz R., [et al.] (2013). From packets to people: quality of experience as a new measurement challenge. W: Data traffic monitoring and analysis: from measurement, classification, and anomaly detection to quality of experience, Pt. 3. Eds. E. Biersack, C. Callegari, M. Matijasevic. Berlin, Heidelberg: Springer-Verlag, s. 219-263. Lecture Notes in Computer Science, 7754 ; [8] Leszczuk M., [et al.] (2013). Assessing quality of experience for high definition video streaming under diverse packet loss patterns. Signal Processing. Image Communication vol. 28 no. 8, s. 903-916 ; [9] Janowski L., Pinson M. (2014). Subject bias: introducing a theoretical user model. W: Quality of Multimedia Experience, QoMEX 2014, sixth international workshop. Piscataway: IEEE, s. 251-256 ; [10] Janowski L., [et al.] (2014). Recognition tasks. W: Quality of experience: advanced concepts, applications and methods. Eds. S. Möller, A. Raake. Cham: Springer, s. 383-394. T-Labs Series in Telecommunication Services ; [11] Pinson M. H., Janowski L., Papir Z. (2015). Video quality assessment: subjective testing of entertainment scenes. IEEE Signal Processing Magazine, vol. 32 no. 1 s. 101-114 ; [12] Janowski L., Pinson M. H. (2015). The accuracy of subjects in a quality experiment: a theoretical subject model. IEEE Transactions on Multimedia, vol. 17 no. 12, s. 2210-2224 ; [13] Ford C., Janowski L., Leszczuk M. (2016). Subjective video quality assessment methods for recognition tasks. Geneva: Telecommunication Standardization Sector of ITU, 19 s.