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Proceedings Paper

Automatic annotation of outdoor photographs
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Paper Abstract

We propose here a strategy for the automatic annotation of outdoor photographs. Images are segmented in homogeneous regions which may be then assigned to seven different classes: sky, vegetation, snow, water, ground, street, and sand. These categories allows for content-aware image processing strategies. Our annotation strategy uses a normalized cut segmentation to identify the regions to be classified by a multi-class Support Vector Machine. The strategy has been evaluated on a set of images taken from the LabelMe dataset.

Paper Details

Date Published: 24 January 2011
PDF: 9 pages
Proc. SPIE 7876, Digital Photography VII, 78760D (24 January 2011); doi: 10.1117/12.876653
Show Author Affiliations
Claudio Cusano, Univ. degli Studi di Milano-Bicocca (Italy)
Raimondo Schettini, Univ. degli Studi di Milano-Bicocca (Italy)

Published in SPIE Proceedings Vol. 7876:
Digital Photography VII
Francisco H. Imai; Feng Xiao, Editor(s)

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