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Three types of affect tags for art images

Lopatovska, Irene

Proceedings of the ASIST Annual Meeting, 2016-01, Vol.53 (1), p.1 [Periódico revisado por pares]

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Título:
Three types of affect tags for art images
Autor: Lopatovska, Irene
Assuntos: Acquisitions & mergers ; Letters of intent ; Photographers
É parte de: Proceedings of the ASIST Annual Meeting, 2016-01, Vol.53 (1), p.1
Descrição: Art images are characterized by affective properties that are rarely captured by current classification practices. We conducted a study to test three methods for developing affect descriptors for art images. The first method relied on affect tags derived from analysis of an image's subject matter and colors. The second method involved affect tags derived from analysis of a viewer's facial expressions of emotions associated with each image. The third method relied on affect tags assigned to an image by viewers. The strengths, limitations, and potential of each affect tagging method for art images are discussed.
Editor: Silver Spring: Wiley Subscription Services, Inc
Idioma: Inglês

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