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Video Semantics and the Sensor Web

  • Alan F. Smeaton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5554)

Abstract

The most widespread way in which content-based access to video information is supported is through using a combination of video metadata (date, time, format, etc.) and user-generated description (user tags, ratings, reviews, etc.). This has had widespread usage and is the basis for navigation through video archives in systems such as YouTube, Open Video and the Internet Archive. However, there are limitations with this such as vocabulary issues, and authentication across the users who annotate content.

Keywords

Query Image Semantic Feature Visual Similarity Video Retrieval Video Shot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Alan F. Smeaton
    • 1
  1. 1.CLARITY: Centre for Sensor Web TechnologiesDublin City University, GlasnevinDublin 9Ireland

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