Color Based Bags-of-Emotions
2009 (English)In: CAIP, Computer Analysis of Images and Patterns / [ed] Xiaoyi Jiang, Nicolai Petkov, Berlin / Heidelberg: Springer , 2009, 573-580 p.Conference paper (Refereed)
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 and based on three variables: activity, weight and heat. It was originally designed for single-colors, but recent research has shown that the same emotion estimates can be applied in the retrieval of multi-colored images. Here we describe a new approach, based on 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, and 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 each interest point, and saved in a bag-of-emotions, that, for instance, can be used for retrieving images based on emotional content.
Place, publisher, year, edition, pages
Berlin / Heidelberg: Springer , 2009. 573-580 p.
, Lecture Notes in Computer Science, ISSN 1611-3349 ; 5702/2009
Computer Vision and Robotics (Autonomous Systems) Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-20435DOI: 10.1007/978-3-642-03767-2_70ISI: 000273458100070ISBN: 978-3-642-03766-5OAI: oai:DiVA.org:liu-20435DiVA: diva2:234391