Emerging Information Infrastructures : Cooperation in Disasters

•   In this paper we describe how to include high level semantic information, such as aesthetics and emotions; into Content Based Image Retrieval. We present a, color-based emotion-related image descriptor that can be used for describing the emotional content of images. The color emotion metric used is derived from psychophysical experiments rind based oil three variables: activity, weight and teat. It was originally designed for single-colors, bill, recent research has shown that the salve emotion estimates call be applied in the retrieval of multi-colored images. Here we describe a new approach, based oil the assumption that perceived color emotions in images are mainly affected by homogenous regions, defined by the emotion metric; and transitions between regions. RGB coordinates are converted to emotion coordinates, mid for each emotion channel, statistical measurements of gradient magnitudes within a. stack of low-pass filtered images are used for finding interest; points corresponding to homogeneous regions and transitions between regions. Emotion characteristics are derived for patches surrounding cacti interest, point, and saved in a, bag-of-emotions; that for instance, can be used for retrieving images based oil emotional content.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Computer science

Datavetenskap

Publication and Content Type

ref (subject category)

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