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)
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.
Last update: Zavoral Filip, RNDr., Ph.D. (20.04.2023)
Course completion requirements -
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)
Zápočet student získá za daný počet bodů získaných na cvičeních.
Zkouška probíhá ústní formou.
Last update: Zavoral Filip, RNDr., Ph.D. (20.04.2023)
Literature -
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)
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)
Syllabus -
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)
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)
