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IMOTION - Searching for Video Sequences using Multi-Shot Sketch Queries

Rossetto, Luca and Giangreco, Ivan and Heller, Silvan and Tănase, Claudiu and Schuldt, Heiko and Dupont, Stéphane and Seddati, Omar and Sezgin, Metin and Can Altıok, Ozan and Sahillioğlu, Yusuf. (2016) IMOTION - Searching for Video Sequences using Multi-Shot Sketch Queries. In: Proceedings of the 22nd International Conference on MultiMedia Modeling (MMM 2016), 2. Cham, pp. 377-382.

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Official URL: http://edoc.unibas.ch/40148/

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Abstract

This paper presents the second version of the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. Ever since, IMOTION has supported the search for video sequences on the basis of still images, user-provided sketches, or the specification of motion via flow fields. For the second version, the functionality and the usability of the system have been improved. It now supports multiple input images (such as sketches or still frames) per query, as well as the specification of objects to be present within the target sequence. The results are either grouped by video or by sequence and the support for selective and collaborative retrieval has been improved. Special features have been added to encapsulate semantic similarity.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Rossetto, Luca and Giangreco, Ivan and Heller, Silvan and Tanase, Claudiu-Ioan
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-319-27670-0
e-ISBN:978-3-319-27671-7
Series Name:Lecture Notes in Computer Science book series (LNCS)
Issue Number:9517
ISSN:0302-9743
e-ISSN:1611-3349
Note:Publication type according to Uni Basel Research Database: Conference paper
Last Modified:22 Aug 2017 13:26
Deposited On:22 Aug 2017 13:26

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