edoc

iAutoMotion - an Autonomous Content-based Video Retrieval Engine

Rossetto, Luca and Giangreco, Ivan and Tănase, Claudiu and Schuldt, Heiko and Dupont, Stéphane and Seddati, Omar and Sezgin, Metin and Sahillioğlu, Yusuf. (2016) iAutoMotion - an Autonomous Content-based Video Retrieval Engine. In: Proceedings of the 22nd International Conference on MultiMedia Modeling (MMM 2016), 2. Cham, pp. 383-387.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/40149/

Downloads: Statistics Overview

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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Rossetto, Luca and Giangreco, Ivan and Tanase, Claudiu-Ioan
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-319-27670-0
e-ISBN:978-3-319-27671-7
Series Name:Lecture Notes in Computer Science book series (LNCS)
Issue Number:9517
ISSN:0302-9743
e-ISSN:1611-3349
Note:Publication type according to Uni Basel Research Database: Conference paper
Last Modified:22 Aug 2017 13:26
Deposited On:22 Aug 2017 13:26

Repository Staff Only: item control page