Video Content Representation Using Recurring Regions Detection

Video Content Representation Using Recurring Regions Detection

Abstract

In this work we present an approach for video content representation based on the detection of recurring visual elements or regions. We hypothesize that such elements play a potentially central role in the underlying video sequence. The approach makes use of fundamental intrinsic properties of a video and, thus, it does not make any assumptions about the video content itself. Furthermore, our approach does not require for any training or prior knowledge about the general settings and video domain. Preliminary experiments with a small and heterogeneous dataset of web videos demonstrate the potential of the approach to be employed as a compact summary of the video content with focus on its central visual elements. Additionally, resulting representations enable the retrieval of video sequences sharing common visual elements.

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Authors
  • Diem, Lukas
  • Zaharieva, Maia
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Full Paper in Proceedings)
Event Title
The 22nd International Conference on Multimedia Modelling (MMM 2016)
Divisions
Multimedia Information Systems
Subjects
Multimedia
Event Location
Miami, USA
Event Type
Conference
Event Dates
4-6 January, 2016
Date
January 2016
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