Rossetto, Luca
ORCID: 0000-0002-5389-9465, Giangreco, Ivan, Tanase, Claudiu, Schuldt, Heiko, Dupont, Stéphane, Seddati, Omar, Sezgin, Metin and Sahillioğlu, Yusuf
(2016)
iAutoMotion – an Autonomous Content-Based Video Retrieval Engine.
In: 22nd International Conference on MultiMedia Modeling, 4-6 Jan. 2016, Miami, USA.
ISBN 978-3-319-27670-0
Abstract
This paper introduces iAutoMotion, an autonomous video
retrieval system that requires only minimal user input. It is based on the
video retrieval engine IMOTION. iAutoMotion uses a camera to capture the input for both visual and textual queries and performs query
composition, retrieval, and result submission autonomously. For the visual tasks, it uses various visual features applied to the captured query
images; for the textual tasks, it applies OCR and some basic natural language processing, combined with object recognition. As the iAutoMotion
system does not conform to the VBS 2016 rules, it will participate as unofficial competitor and serve as a benchmark for the manually operated
systems.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Image processing Computer Science > Information retrieval Computer Science > Multimedia systems Computer Science > Information storage and retrieval systems |
| DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
| Published in: | MMM 2016: Proceedings, Part I, of the 22nd International Conference on MultiMedia Modeling. 9516. Springer Nature. ISBN 978-3-319-27670-0 |
| Publisher: | Springer Nature |
| Official URL: | https://dl.acm.org/doi/proceedings/10.5555/2993066 |
| Copyright Information: | Authors |
| ID Code: | 32424 |
| Deposited On: | 20 Mar 2026 09:59 by Luca Rossetto . Last Modified 20 Mar 2026 09:59 |
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