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Hierarchical Selectivity for Object-Based Visual Attention

  • Yaoru Sun
  • Robert Fisher
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2525)

Abstract

This paper presents a novel “hierarchical selectivity” mechanism for object-based visual attention. This mechanism integrates visual salience from bottom-up groupings and the top-down attentional setting. Under its guidance, covert visual attention can shift not only from one grouping to another but also from a grouping to its sub-groupings at a single resolution or multiple varying resolutions. Both object-based and space-based selection is integrated to give a visual attention mechanism that has multiple and hierarchical selectivity.

Keywords

Visual Attention Visual Salience Outdoor Scene Goto Step Current Resolution 
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 2002

Authors and Affiliations

  • Yaoru Sun
    • 1
  • Robert Fisher
    • 1
  1. 1.Division of InformaticsUniversity of EdinburghEdinburghUK

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