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1999
Conference Paper
Title

A multi-feature description scheme for image and video database retrieval

Abstract
This paper reports about a description scheme for visual information content, which has been developed in the context of the forthcoming MPEG-7 standard. The system supports similarity-based retrieval of visual (image and video) data along feature axes like color, texture, shape/geometry and motion. The descriptors for these features have been developed in a way such that invariance against common transformations of visual material, e.g. filtering, contrast/color manipulation, resizing etc. is achieved, and that they are fitted to human perception properties. Furthermore, descriptors have been designed that allow a fast, hierarchical search procedure. A search engine has been developed on the basis of this description scheme, which allows similarity-based retrieval from an image or video database. The results show that efficient search and retrieval in visual database systems is possible based on a normative feature description such as MPEG-7.
Author(s)
Ohm, J.-R.
Bunjamin, F.
Liebsch, W.
Makai, B.
Muller, K.
Smolic, A.
Zier, D.
Mainwork
IEEE 3rd Workshop on Multimedia Signal Processing 1999  
Conference
Workshop on Multimedia Signal Processing (MMSP) 1999  
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Keyword(s)
  • content-based retrieval

  • video databases

  • multi-feature description scheme

  • image and video database retrieval

  • visual information content

  • mpeg-7 standard

  • similarity-based retrieval

  • filtering

  • contrast/color manipulation

  • resizing

  • human perception properties

  • hierarchical search procedure

  • search engine

  • visual database systems

  • normative feature description

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