Interpretable Video Representation

Interpretable Video Representation

Abstract

The immense amount of available video data poses novel requirements for video representation approaches by means of focusing on central and relevant aspects of the underlying story and facilitating the efficient overview and assessment of the content. In general, the assessment of content relevance and significance is a high-level task that usually requires for human intervention. However, some filming techniques imply importance and bear the potential for automated content-based analysis. For example, core elements in a movie (such as the main characters and central objects) are often emphasized by repeated occurrence. In this paper we present a new approach for the automated detection of such recurring elements in video sequences that provides a compact and interpretable content representation. Performed experiments outline the challenges and the potential of the algorithm for automated high-level video analysis.

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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
13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015)
Divisions
Multimedia Information Systems
Subjects
Multimedia
Event Location
Prague, Czech Republic
Event Type
Workshop
Event Dates
10-12 June 2015
Date
June 2015
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