{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T15:47:49Z","timestamp":1725378469731},"reference-count":57,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2010,2,11]],"date-time":"2010-02-11T00:00:00Z","timestamp":1265846400000},"content-version":"vor","delay-in-days":6342,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cognitive Science"],"published-print":{"date-parts":[[1992,10]]},"abstract":"<jats:p>This article describes an implemented architecture for intermediate vision. By integrating a variety of Intermediate visual mechanisms and putting them to use in support of concrete activity, the implementation demonstrates their utility. The sytem, SIVS, models psychophysical discoveries about visual attention and search. It is designed to be efficiently implementable in slow, massively parallel, locally connected hardware, such as that of the brain.<\/jats:p><jats:p>SIVS addresses five fundamental problems. <jats:italic>Visual attention<\/jats:italic> is required to restrict processing to task\u2010relevant locations in the image. <jats:italic>Visual search<\/jats:italic> finds such locations. <jats:italic>Visual routines<\/jats:italic> are a means for nonuniform processing based on task demands. <jats:italic>Intermediate<\/jats:italic> objects keep track of intermediate results of this processing. <jats:italic>Visual operators<\/jats:italic> are a set of relatively abstract, general\u2010purpose primitives for spatial analysis, out of which visual routines are 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