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Canonical image selection based on human affects in photographic images

Image and vision computing, v.54, 2016년, pp.83 - 98  

Kim, E.Y. ,  Ko, E.

Abstract AI-Helper 아이콘AI-Helper

The selection of canonical images that best represent a scene type is very important for efficiently visualizing search results and re-ranking them. In this paper, we propose the selection of canonical images based on human affects that are hidden in the image. One is a probabilistic affective model...

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참고문헌 (36)

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