Review of the State of the Art in Semantic Scene Classification

Authors:
M. R. Boutell;C. B. Brown;J. Luo
Affiliations:
-;-;-
Venue:
Review of the State of the Art in Semantic Scene Classification
Year:
2002

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Abstract

Semantic scene classification, categorizing images into one of a set of physical (e.g., indoor/outdoor, orientation) or semantic categories (e.g., beach or party), is a relatively new field. Most of the existing techniques used primarily low-level features to classify scenes and achieved some success on constrained problems. We report on the state of the art, presenting summaries of major scene classification systems and identifying the features and inference engines they use.