24 January 2011 Automatic annotation of outdoor photographs
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Proceedings Volume 7876, Digital Photography VII; 78760D (2011) https://doi.org/10.1117/12.876653
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudio Cusano, Claudio Cusano, Raimondo Schettini, Raimondo Schettini, } "Automatic annotation of outdoor photographs", Proc. SPIE 7876, Digital Photography VII, 78760D (24 January 2011); doi: 10.1117/12.876653; https://doi.org/10.1117/12.876653
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