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Although many region based models for image auto-annotation have been proposed recently, their performances are not satisfactory due to the sensitivity to segmentation errors. In this paper, by evaluating two image partition methods and four visual features, we propose a new ensemble method under Multi-Instance Multi-Label (MIML) learning framework which has been proposed recently. The ensemble method...
Automatic semantic scene classification is a challenging research topic in computer vision and it is also a promising solution to scene understanding and image semantic retrieval. In this paper, novel techniques are proposed to implement multi-semantic scene classification. We first extract some regions of interest (ROIs) from each image based on image-driven, bottom-up visual attention model, and...
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