International Journal of Computer Vision

, Volume 45, Issue 2, pp 83–105

Saliency, Scale and Image Description

Authors

  • Timor Kadir
    • Robotics Research Laboratory, Department of Engineering ScienceUniversity of Oxford
  • Michael Brady
    • Robotics Research Laboratory, Department of Engineering ScienceUniversity of Oxford
Article

DOI: 10.1023/A:1012460413855

Cite this article as:
Kadir, T. & Brady, M. International Journal of Computer Vision (2001) 45: 83. doi:10.1023/A:1012460413855

Abstract

Many computer vision problems can be considered to consist of two main tasks: the extraction of image content descriptions and their subsequent matching. The appropriate choice of type and level of description is of course task dependent, yet it is generally accepted that the low-level or so called early vision layers in the Human Visual System are context independent.

This paper concentrates on the use of low-level approaches for solving computer vision problems and discusses three inter-related aspects of this: saliency; scale selection and content description. In contrast to many previous approaches which separate these tasks, we argue that these three aspects are intrinsically related. Based on this observation, a multiscale algorithm for the selection of salient regions of an image is introduced and its application to matching type problems such as tracking, object recognition and image retrieval is demonstrated.

visual saliencyscale selectionimage content descriptorsfeature extractionsalient featuresimage databaseentropyscale-space

Copyright information

© Kluwer Academic Publishers 2001