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Conceptual Indexing of Television Images Based on Face and Caption Sizes and Locations

  • Remi Ronfard
  • Christophe Garcia
  • Jean Carrive
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)

Abstract

Indexing videos by their image content is an important issue for digital audiovisual archives. While much work has been devoted to classification and indexing methods based on perceptual qualities of images, such as color, shape and texture, there is also a need for classi fication and indexing of some structural properties of images. In this paper, we present some methods for image classification in video, based on the presence, size and location of faces and captions. We argue that such classifications are highly domain-dependent, and are best handled using flexible knowledge management systems (in our case, a description logics).

Keywords

Description Logic Face Detection Knowledge Management System Broadcast News Text Detection 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Remi Ronfard
    • 1
  • Christophe Garcia
    • 2
  • Jean Carrive
    • 1
  1. 1.INABry-sur-MarneFrance
  2. 2.ICS-FORTHCreteGreece

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