Attributes of images in describing tasks
Information Processing and Management: an International Journal
Theories of cognition and image categorization: What category labels reveal about basic level theory
Journal of the American Society for Information Science and Technology
MIRA'99 Proceedings of the 1999 international conference on Final Mira
Development and evaluation of a multifaceted magazine image categorization model
Journal of the American Society for Information Science and Technology
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This paper describes a comparison of categorization criteria for three image genres. Two experiments were conducted, where naïve participants freely sorted stock photographs and abstract/surreal graphics. The results were compared to a previous study on magazine image categorization. The study also aimed to validate and generalize an existing framework for image categorization. Stock photographs were categorized mostly based on the presence of people, and whether they depicted objects or scenes. For abstract images, visual attributes were used the most. The lightness/darkness of images and their user-evaluated abstractness/representativeness also emerged as important criteria for categorization. We found that image categorization criteria for magazine and stock photographs are fairly similar, while the bases for categorizing abstract images differ more from the former two, most notably in the use of visual sorting criteria. However, according to the results of this study, people tend to use descriptors related to both image content and image production technique and style, as well as to interpret the affective impression of the images in a way that remains constant across image genres. These facets are present in the evaluated categorization framework which was deemed valid for these genres.