The paper addresses the problem of annotating photographs with broad semantic labels. To cope with the great variety of photos available on the WEB we have designed a hierarchical classification strategy which first classifies images as pornographic or not-pornographic. Not-pornographic images are then classified as indoor, outdoor, or close-up. On a database of over 9000 images, mostly downloaded from the web, our method achieves an average accuracy of close to 90%.
Brambilla, C., Ciocca, G., Cusano, C., Schettini, R. (2003). Semantic labeling of digital photos by classification. In 4th Internet Imaging Conference (pp.296-303). The Society for Imaging Science and TechnologySPIE [10.1117/12.476186].
Semantic labeling of digital photos by classification
CIOCCA, GIANLUIGI;CUSANO, CLAUDIO;SCHETTINI, RAIMONDO
2003
Abstract
The paper addresses the problem of annotating photographs with broad semantic labels. To cope with the great variety of photos available on the WEB we have designed a hierarchical classification strategy which first classifies images as pornographic or not-pornographic. Not-pornographic images are then classified as indoor, outdoor, or close-up. On a database of over 9000 images, mostly downloaded from the web, our method achieves an average accuracy of close to 90%.
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