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Video retrieval is a dynamically evolving area. In the course, new trends in interactive video retrieval are presented, with emphasis on video exploration given a known-item search task.
During the practices, the signature-based video browser (the winning tool of the international video browser showdown) will be presented and extended.
The best new extensions can be selected to compete in the video browser showdown competition.
Last update: T_KSI (07.06.2016)
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Students get a credit for a given number of points from exercises. The exam is oral. Last update: 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. Last update: 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 Last update: Töpfer Pavel, doc. RNDr., CSc. (18.01.2018)
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