AI Cafe: Deep Learning for Video Summarization скачать в хорошем качестве

AI Cafe: Deep Learning for Video Summarization

The AI-Cafe presented on Feb 23rd, 2022 at 3 PM – 4 PM CET: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow and chair of the International AI Doctoral Academy (AIDA) https://www.i-aida.org/) with his talk on : Deep Learning for Video Summarization Description of the talk 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 combine 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. CV Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD 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.