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In the course, new trends in interactive video retrieval are presented, with emphasis on video exploration given a
known-item search task and a set of representative keyframes. During the practices, various video search
methods and tools will be tested. Basic knowledge of python helps (NumPy and Pillow) but the prior knowledge is
not necessary. Students will create a simple tool for a small collection of video data. The best new extensions can
be selected to compete in the video browser showdown competition.
Poslední úprava: Zavoral Filip, RNDr., Ph.D. (20.04.2023)
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Zápočet student získá za daný počet bodů získaných na cvičeních. Zkouška probíhá ústní formou. Poslední úprava: Zavoral Filip, RNDr., Ph.D. (20.04.2023)
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Klaus Schoeffmann, Marco A. Hudelist, Jochen Huber. Video Interaction Tools: A Survey of Recent Work. ACM Comput. Surv. 48(1): 14 (2015).
P. Geetha and Vasumathi Narayanan. 2008. A survey of content-based video retrieval. Journal of Computer Science.
Weiming Hu , Nianhua Xie , Li , Xianglin Zeng , Stephen Maybank, A Survey on Visual Content-Based Video Indexing and Retrieval, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews.
Alejandro Jaimes , Nicu Sebe, Multimodal human-computer interaction: A survey, Computer Vision and Image Understanding.
Arthur G. Money , Harry Agius, Video summarisation: A conceptual framework and survey of the state of the art, Journal of Visual Communication and Image Representation.
Phillipe Salembier, Thomas Sikora, B. S. Manjunath. Introduction to MPEG-7: Multimedia Content Description Interface. ISBN: 978-0-471-48678-7. WILEY. Poslední úprava: T_KSI (07.06.2016)
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Introduction to video retrieval Video formats Frame/shot/scene detection Frame-based features Scene-based features Similarity search in video Fusion of features Video classification Video visualization techniques Interactive video retrieval Video retrieval systems Video retrieval evaluation campaigns Poslední úprava: Töpfer Pavel, doc. RNDr., CSc. (18.01.2018)
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