Leszczuk Mikołaj, dr hab. inż., prof. AGH

WIEiT-it Instytut Telekomunikacji i Cyberbezpieczeństwa

Wydział Informatyki, Elektroniki i Telekomunikacji

informatyka techniczna i telekomunikacja

100

leszczuk@agh.edu.pl

Habilitacja: Opracowanie i standaryzacja wybranych metod analizy QoE (ang. Quality of Experience) w aplikacjach wideo ze szczególnym uwzględnieniem rozpoznawania obiektów
Wydział:: AGH Wydział Informatyki, Elektroniki i Telekomunikacji
Data uchwały Rady Wydziału:: 19.10.2017
Stopień naukowy:: dr hab. nauk technicznych
Dyscyplina:: telekomunikacja
Słowa kluczowe:: rozpoznawanie obiektów; QoE; analizy
Uwagi:: Pracę habilitacyjną stanowi cykl 17 publikacji : [1] 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, iss. 8, s. 903–916 ; [2] Leszczuk M., Janowski L. (2015). Advanced mechanisms for delivering high-quality digital content. W: Image quality and system performance XII, s. 939602-1–939602-6 , ISBN: 9781628414868 ; [3] Leszczuk M., [et al.] (2016). Recent developments in visual quality monitoring by key performance indicators. Multimedia Tools and Applications vol. 75, iss. 17, s. 10745-10767 ; [4] Leszczuk M., [et al.] Lightweight implementation of No-Reference (NR) perceptual quality assessment of H.264/AVC compression. Signal Processing-Image Communication vol. 39 pt. B, s. 457-465 ; [5] Duplaga M., [et al.] (2008). Evaluation of quality retaining diagnostic credibility for surgery video recordings. W: Visual information systems : web-based visual information search and management : 10th international conference, VISUAL 2008 : Salerno, Italy, September 11–12, 2008 : proceedings, s. 227-230 ; [6] Duplaga M., [et al.] (2008). Compression evaluation of surgery video recordings retaining diagnostic credibility (compression evaluation of surgery video). Opto-Electronics Review vol. 16, no. 4, s. 428–438 ; [7] Leszczuk M., Duplaga M. (2011). Algorithm for video summarization of bronchoscopy procedures. BioMedical Engineering Online vol. 10, art. no. 110, s. 1–17 ; [8] Leszczuk M., Skoczylas Ł., Dziech A. (2013). Simple solution for public transport route number recognition based on visual information. W: Signal Processing : Algorithms, Architectures, Arrangements, and Applications, s. 32–38 ; [9] Leszczuk M., Dudek Ł., Witkowski M. (2015). Classification of video sequences into chosen generalized use classes of target size and lighting level. Multimedia Tools and Applications vol. 74, iss. 12, s. 4381–4395 ; [10] Leszczuk M., [et al.] (2011). Quality assessment for a licence plate recognition task based on a video streamed in limited networking conditions. W: Multimedia communications, services and security : 4th international conference MCSS 2011 : Krakow, Poland, June 2–3, 2011, s. 10-18 ; [11] Leszczuk M., Janowski L. (2013). Database for video quality assessment in license plate recognition. W: Signal Processing : Algorithms, Architectures, Arrangements, and Applications, s. 51-50 ; [12] Leszczuk M. (2011). Assessing task-based video quality – a journey from subjective psycho-physical experiments to objective quality models. W: Multimedia communications, services and security : 4th international conference, s. 91-99 ; [13] Leszczuk M. (2014). Optimising task-based video quality : a journey from subjective psychophysical experiments to objective quality optimisation. Multimedia Tools and Applications vol. 68, iss. 1, s. 41–58 ; [14] Leszczuk M., Dumke J. (2013). Survey of recent developments in quality assessment for target recognition video. W: Multimedia communications, services and security : 6th International conference, s. 59-70 ; [15] Leszczuk M., [et al.] (2012). Redefining ITU-T P.912 recommendation requirements for subjects of quality assessments in recognition tasks. W: Multimedia communications, services and security : 5th international conference, s. 188-199 ; [16] Leszczuk M. (2015). Revising and improving the ITU-T recommendation P.912. Journal of Telecommunications and Information Technology nr 1, s. 10–14 ; [17] Ford C., Janowski L., Leszczuk M. (2016). Subjective video quality assessment methods for recognition tasks, 19 s.