iAutoMotion - an Autonomous Content-based Video Retrieval Engine
Authors
Luca Rossetto, Ivan Giangreco, Claudiu Tănase, Heiko Schuldt, Stéphane Dupont, Omar Seddati, Metin Sezgin, Yusuf Sahillioğlu
Type
In Proceedings
Date
2016/1
Appears in
Proceedings of the International Conference on Multimedia Modeling (MMM) - Video Browser Showdown
Location
Miami, FL, USA
Publisher
Springer
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.