Rossetto, Luca
ORCID: 0000-0002-5389-9465, Giangreco, Ivan, Schuldt, Heiko, Dupont, Stéphane, Seddati, Omar, Sezgin, Metin and Sahillioğlu, Yusuf
(2015)
IMOTION — A Content-Based Video Retrieval Engine.
In: MultiMedia Modeling. MMM 2015, 5-7 Jan. 2015, Sydney, NSW, Australia.
ISBN 978-3-319-14442-9
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 lowlevel 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.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Information retrieval Computer Science > Multimedia systems Computer Science > Information storage and retrieval systems |
| DCU Faculties and Centres: | UNSPECIFIED |
| Published in: | MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science. Lecture Notes in Computer Science 8936. Springer Nature. ISBN 978-3-319-14442-9 |
| Publisher: | Springer Nature |
| Official URL: | https://link.springer.com/chapter/10.1007/978-3-31... |
| Copyright Information: | Authors |
| ID Code: | 32429 |
| Deposited On: | 13 Mar 2026 12:28 by Luca Rossetto . Last Modified 13 Mar 2026 12:28 |
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