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, 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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