Publication: IMOTION – searching for video sequences using multi-shot sketch queries
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KU Authors
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Rossetto, Luca
Giangreco, Ivan
Heller, Silvan
Tănase, Claudiu
Schuldt, Heiko
Dupont, Stephane
Seddati, Omar
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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 tar-get 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.
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Publisher
Springer
Subject
Computer science
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Has Part
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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DOI
10.1007/978-3-319-27674-8_36