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Dataset Information

Visual scenes are categorized by function.


ABSTRACT: How do we know that a kitchen is a kitchen by looking? Traditional models posit that scene categorization is achieved through recognizing necessary and sufficient features and objects, yet there is little consensus about what these may be. However, scene categories should reflect how we use visual information. Therefore, we test the hypothesis that scene categories reflect functions, or the possibilities for actions within a scene. Our approach is to compare human categorization patterns with predictions made by both functions and alternative models. We collected a large-scale scene category distance matrix (5 million trials) by asking observers to simply decide whether 2 images were from the same or different categories. Using the actions from the American Time Use Survey, we mapped actio

SUBMITTER: Greene MR 

PROVIDER: S-EPMC4693295 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature