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Panel Summary Image Interpretation and Ambiguities

  • Piero Mussio
  • Nicola Bruno
  • Floriana Esposito

Abstract

The goal of the panel is to discuss if ambiguity can be a means for performing cognitive tasks. This position contrasts with the traditional view which considers ambiguous situations as pathological ones to be avoided or recovered as soon as they arise. Evidence exists that the human visual system attempts to process its inputs according to two different representations, the distal and the proximal one. N. Bruno as a cognitive scientist introduces the argument and speculates on the cognitive function served by the proximal interpretation. On the other side, P. Mussio explores - from the point of view of an image interpreter - some situations in which scientists and technicians exploit ambiguous image interpretations to better understand the situation under study. Programs - developed to help them in these interpretation activities-explicitly create and exploit ambiguous descriptions of a same image. However, in many cases ambiguity is still a problem. F. Esposito as an AI scientist explores how to face the intrinsic ambiguity in learning models of visual objects.

Keywords

Visual Angle Image Interpretation Human Visual System Noisy Environment Representation Language 
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 Science+Business Media New York 1994

Authors and Affiliations

  • Piero Mussio
    • 1
  • Nicola Bruno
    • 2
  • Floriana Esposito
    • 3
  1. 1.Dipartimento di Scienze dell’InformazioneUniversità degli Studi “La Sapienza”RomaItaly
  2. 2.Dipartimento di PsicologiaUniversità di TriesteTriesteItaly
  3. 3.Dipartimento di InformaticaUniversità di BariBariItaly

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