Publication: Iautomotion - an autonomous content-based video retrieval engine
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KU-Authors
KU Authors
Co-Authors
Rossetto, Luca
Giangreco, Ivan
Tanase, Claudiu
Schuldt, Heiko
Dupont, Stephane
Seddati, Omar
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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.
Source
Publisher
Springer
Subject
Computer science
Citation
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_37
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