VisualGREP: a systematic method to compare and retrieve video sequences


Lienhart, Rainer ; Effelsberg, Wolfgang ; Jain, Ramesh



DOI: https://doi.org/10.1023/A:1009663921899
URL: https://link.springer.com/article/10.1023/A:100966...
Additional URL: https://www.researchgate.net/publication/220979854...
Document Type: Article
Year of publication: 2000
The title of a journal, publication series: Multimedia Tools and Applications
Volume: 10
Issue number: 1
Page range: 47-72
Place of publication: Dordrecht [u.a.]
Publishing house: Kluwer Academic Publ.
ISSN: 1380-7501 , 1573-7721
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg 1989-2017)
Subject: 004 Computer science, internet
Abstract: In this paper, we consider the problem of similarity between video sequences. Three basic questions are raised and (partially) answered. Firstly, at what temporal duration can video sequences be compared? The frame, shot, scene and video levels are identified. Secondly, given some image or video feature, what are the requirements on its distance measure and how can it be easily transformed into the visual similarity desired by the inquirer? Thirdly, how can video sequences be compared at different levels? A general approach based on either a set or sequence representa-tion with variable degrees of aggregation is proposed and applied recursively over the different levels of temporal res-olution. It allows the inquirer to fully control the importance of temporal ordering and duration. The general approach is illustrated by introducing and discussing some of the many possible image and video features. Promising experimental results are presented.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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