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VisualGREP: a systematic method to compare and retrieve video sequences
Lienhart, Rainer
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Effelsberg, Wolfgang
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Jain, Ramesh
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DOI:
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https://doi.org/10.1023/A:1009663921899
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URL:
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https://link.springer.com/article/10.1023/A:100966...
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Weitere URL:
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https://www.researchgate.net/publication/220979854...
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Dokumenttyp:
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Zeitschriftenartikel
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Erscheinungsjahr:
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2000
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Titel einer Zeitschrift oder einer Reihe:
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Multimedia Tools and Applications
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Band/Volume:
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10
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Heft/Issue:
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1
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Seitenbereich:
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47-72
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Ort der Veröffentlichung:
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Dordrecht [u.a.]
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Verlag:
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Kluwer Academic Publ.
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ISSN:
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1380-7501 , 1573-7721
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Praktische Informatik IV (Effelsberg 1989-2017)
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Fachgebiet:
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004 Informatik
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Abstract:
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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.
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