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IMOTION - Searching for Video Sequences using Multi-Shot Sketch Queries
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
 
ID 3342707
Author(s) Rossetto, Luca; Giangreco, Ivan; Heller, Silvan; Tănase, Claudiu; Schuldt, Heiko; Dupont, Stéphane; Seddati, Omar; Sezgin, Metin; Can Altıok, Ozan; Sahillioğlu, Yusuf
Author(s) at UniBasel Schuldt, Heiko
Rossetto, Luca
Giangreco, Ivan
Heller, Silvan
Tanase, Claudiu-Ioan
Year 2016
Title IMOTION - Searching for Video Sequences using Multi-Shot Sketch Queries
Editor(s) Tian, Qi; Sebe, Nicu; Qi, Guo-Jun; Huet, Benoit; Hong, Richang; Liu, Xueliang
Book title (Conference Proceedings) Proceedings of the 22nd International Conference on MultiMedia Modeling (MMM 2016)
Volume 2
Place of Conference Miami, FL, USA
Year of Conference 2016
Publisher Springer
Place of Publication Cham
Pages 377-382
ISSN/ISBN 0302-9743 ; 1611-3349 ; 978-3-319-27670-0 ; 978-3-319-27671-7
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.
Series title Lecture Notes in Computer Science book series (LNCS)
Number 9517
edoc-URL http://edoc.unibas.ch/40148/
Full Text on edoc No
Digital Object Identifier DOI 10.1007/978-3-319-27674-8
 
   

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