BEGIN:VCALENDAR
VERSION:2.0
PRODID:OpenCms 21.0.22
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20161122T160943
UID:85ba8b46-cc7e-11e8-806c-000e0c3db68b
SUMMARY:Vortrag | Judith Redi, Delft University of Technology
DESCRIPTION:\n\n\nSprecher\n\nProf. Dr. Judith Redi\nDelft University of Technology\n\n\n\n\nTitel\n\n\nEnabling ”Wow!” Visual Experiences: achievements and challenges in visual quality assessment and\noptimization\n\n\n\n&nbsp;\n\nModern multimedia technologies are challenged to handle every day bigger quantities of visual\ninformation with a limited set of resources (e.g. bandwidth, storage space). As the multimedia\nconsumption grows, so do user expectations in terms of Quality of the delivered Experience.\nMultimedia systems can be optimized (from intelligent adaptive streaming to perceptual coding), but\nin order to steer such optimization, mechanisms are needed that allow assessing the quality of the\ndelivered multimedia experience at any stage of the delivery chain.\nIn this talk, I will review the current challenges in assessing the quality of multimedia\nexperiences, both from a computational and a human point of view. On the computational side, I will\npoke into how and why Machine Learning can be used to successfully predict Quality of Experience\n(QoE), and more specifically the annoyance of visual distortions. On the human side, I will review\na set of methodological challenges (and a few solutions) related to subjective QoE measurement.\nFinally, I will look at the future, giving some insight on how user factors other than physiology\nand perception can influence Quality of experience and can be factored into automatic image and\nvideo quality assessment methods.\n\nSpeaker’s Bio\nJudith Redi is Assistant Professor at the Faculty of Electrical Engineering, Mathematics and\nComputer Science (EECMS) of Delft University of Technology. Her work involves the understanding and\nmodelling of user appreciation for multimedia experiences. This connects visual perception,\ncognitive science and engineering, machine learning and computer vision. She obtained her PhD from\nthe University of Genoa in 2010, and thesis received the best thesis award from the same\nuniversity. After a post-doc period at Eurecom, France, working on digital image forensics and\ncomputer vision, she moved to the Intelligent Systems department of TU Delft, and recently she was\nawarded a NWO-VENI-grant for her research proposal on “Semantic Aware Quality Assessment”. She is\ncurrently member of a number of technical program committees of top conference, and recently she\nhas been Technical Program Committee Chair of QoMEX 2015 and Area Chair for multimedia HCI and QoE\nat ACMMM 2016. She is also associate editor for the IEEE transactions on Multimedia, and will be\nGeneral Chair for ACM TVX in 2017.\n\n\n\n&nbsp; \nSee&nbsp; \nhttp://www.sfbtrr161.de/events/events.html&nbsp;for\nall events of the Collaborative Research Center/Transregio 161&nbsp;
DTSTART;TZID=Europe/Berlin:20161128T160000
DTEND;TZID=Europe/Berlin:20161128T173000
LOCATION:Ort: C202, Power Wall Room, University of Konstanz (The talk will be transmitted to the Powerwall Room in VISUS Stuttgart-Vaihingen, Allmandring 19, Room -01.116), , , ,
URL;VALUE=URI:https://www.vis.uni-stuttgart.de/en/news/events/Vortrag-Judith-Redi-Delft-University-of-Technology/
END:VEVENT
END:VCALENDAR
