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iAutoMotion – an Autonomous Content-Based Video Retrieval Engine

  • Luca Rossetto
  • Ivan Giangreco
  • Claudiu Tănase
  • Heiko Schuldt
  • Stéphane Dupont
  • Omar Seddati
  • Metin Sezgin
  • Yusuf Sahillioğlu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9517)

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.

Notes

Acknowlegements

This work was partly supported by the Chist-Era project IMOTION with contributions from the Belgian Fonds de la Recherche Scientifique (FNRS, contract no. R.50.02.14.F), the Scientific and Technological Research Council of Turkey (Tübitak, grant no. 113E325), and the Swiss National Science Foundation (SNSF, contract no. 20CH21_151571).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Luca Rossetto
    • 1
  • Ivan Giangreco
    • 1
  • Claudiu Tănase
    • 1
  • Heiko Schuldt
    • 1
  • Stéphane Dupont
    • 2
  • Omar Seddati
    • 2
  • Metin Sezgin
    • 3
  • Yusuf Sahillioğlu
    • 3
  1. 1.Databases and Information Systems Research Group, Department of Mathematics and Computer ScienceUniversity of BaselBaselSwitzerland
  2. 2.Research Center in Information TechnologiesUniversité de MonsMonsBelgium
  3. 3.Intelligent User Interfaces LabKoç UniversityIstanbulTurkey

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