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, Vol. 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 > Databases and Information Systems (Schuldt) |
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| UniBasel Contributors: | Schuldt, Heiko and Rossetto, Luca and Giangreco, Ivan |
| Item Type: | Conference or Workshop Item, refereed |
| Conference or workshop item Subtype: | Conference Paper |
| Publisher: | Springer |
| Note: | Publication type according to Uni Basel Research Database: Conference paper |
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| Last Modified: | 05 Jun 2015 08:52 |
| Deposited On: | 05 Jun 2015 08:52 |
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