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- W3143371596 abstract "New paradigms such as affective computing and user-based research are extending the realm of facets traditionally addressed in IR systems. This paper builds on previous research reported to the electronic imaging community concerning the need to provide access to more abstract attributes of images than those currently amenable to a variety of content-based and text-based indexing techniques. Empirical research suggests that, for visual materials, in addition to standard bibliographic data and broad subject, and in addition to such visually perceptual attributes such as color, texture, shape, and position or focal point, additional access points such as themes, abstract concepts, emotions, stories, and people-related information such as social status would be useful in image retrieval. More recent research demonstrates that similar results are also obtained with fine arts images, which generally have no access provided for these types of attributes. Current efforts to match image attributes as revealed in empirical research with those addressed both in current textual and content-based indexing systems are discussed, as well as the need for new representations for image attributes and for collaboration among diverse communities of researchers." @default.
- W3143371596 created "2021-04-13" @default.
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- W3143371596 date "1999-01-01" @default.
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- W3143371596 title "Retrieving the unretrievable in electronic imaging systems : emotions, themes, and stories" @default.
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