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. © 2011 SPIE-IS&T.

Cusano, C., Schettini, R. (2011). Automatic annotation of outdoor photographs. In Proceedings SPIE Digital Photography VII. SPIE [10.1117/12.876653].

Automatic annotation of outdoor photographs

SCHETTINI, RAIMONDO
2011

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. © 2011 SPIE-IS&T.
paper
image annotation, outdoor photographs
English
SPIE Digital Photography VII
2011
Proceedings SPIE Digital Photography VII
9780819484130
2011
7826
78760D
none
Cusano, C., Schettini, R. (2011). Automatic annotation of outdoor photographs. In Proceedings SPIE Digital Photography VII. SPIE [10.1117/12.876653].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/46003
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