Journal
INTERNATIONAL JOURNAL OF COMPUTER VISION
Volume 53, Issue 2, Pages 169-191Publisher
SPRINGER
DOI: 10.1023/A:1023052124951
Keywords
context; object recognition; focus of attention; automatic scale selection; object priming
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There is general consensus that context can be a rich source of information about an object's identity, location and scale. In fact, the structure of many real-world scenes is governed by strong configurational rules akin to those that apply to a single object. Here we introduce a simple framework for modeling the relationship between context and object properties based on the correlation between the statistics of low-level features across the entire scene and the objects that it contains. The resulting scheme serves as an effective procedure for object priming, context driven focus of attention and automatic scale-selection on real-world scenes.
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