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AI-Cafe presents: Deep Learning for Video Summarization
Prof. Ioannis Pitas
(IEEE Fellow, IEEE Distinguished Lecturer, EURASIP Fellow and chair of the International AI Doctoral Academy -AIDA)
Nowadays, both social media sites, Media Archiving and Management (MAM) systems, and broadcaster mediatheques store huge amounts of video information. Its search can be very tedious, whether for journalistic purposes or just for selecting a video to watch and entertain. Therefore, fast video browsing is an essential service to be provided in a www environment. One way to do it is through video summarization. It can create a picture gallery of each video, thus greatly facilitating its browsing. This gallery should contain both representative and informative key video frames. The same can be done by video skimming, which retains only the most representative and informative video snippets. Movie trailers is a primary example of video skimming. Recently, deep learning (DNN) techniques have been extensively employed in video summarization. They typically exploit both spatial and temporal video information, e.g., by using combined CNN and LSTM video modeling approaches. Adversarial DNN and GAN methods have also been used in video summarization. This lecture will overview all recent advances in the use of Deep learning for video summarization.
Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and Ph.D. degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.
His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centered computing, affective computing, 3D imaging and biomedical imaging.
He has published over 920 papers, contributed to 45 books in his areas of interest and edited or (co-)authored another 11 books. He has also been a member of the program committee of many scientific conferences and workshops. In the past, he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 71 R&D projects, primarily funded by the European Union and is/was principal investigator in 43 such projects. Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: .
He is AUTH principal investigator in H2020 R&D projects Aerial Core and AI4Media. He was chair and initiator of the Autonomous Systems Initiative. He is chair of the International AI Doctoral Academy (AIDA) and is PI in Horizon2020 EU-funded R&D projects AI4Media (1 of the 4 AI flagship projects in Europe) and AerialCore. He has 34400+ citations to his work and an h-index 87+.