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IMOTION — a content-based video retrieval engine

Rossetto, Luca and Giangreco, Ivan and Schuldt, Heiko and Dupont, Stéphane and Seddati, Omar and Sezgin, Metin and Sahillioğlu, Yusuf. (2015) IMOTION — a content-based video retrieval engine. In: MultiMedia Modeling : 21st International Conference, MMM 2015, Sydney, NSW, Australia, January 5-7, 2015 ; proceedings, 2. Cham, pp. 255-260.

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Official URL: http://edoc.unibas.ch/dok/A6329133

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Abstract

This paper introduces the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. For vector space retrieval, the IMOTION system exploits a large variety of low level image and video features, as well as high-level spatial and temporal features that can all be jointly used in any combination. In addition, it supports dedicated motion features to allow for the specification of motion within a video sequence. For query specification, the IMOTION system supports query-by-sketch interactions (users provide sketches of video frames), motion queries (users specify motion across frames via partial flow fields), query-by-example (based on images) and any combination of these, and provides support for relevance feedback.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Rossetto, Luca and Giangreco, Ivan
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:Springer
ISBN:978-3-319-14441-2
e-ISBN:978-3-319-14442-9
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:02 Apr 2019 09:24
Deposited On:05 Jun 2015 08:52

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