Pan J.-Y.Yang H.-J.Duygulu, PınarFaloutsos, C.2016-02-082016-02-082004http://hdl.handle.net/11693/27427Date of Conference: June 27th~30th, 2004In this paper, we examine the problem of automatic image captioning. Given a training set of captioned images, we want to discover correlations between image features and keywords, so that we can automatically find good keywords for a new image. We experiment thoroughly with multiple design alternatives on large datasets of various content styles, and our proposed methods achieve up to a 45% relative improvement on captioning accuracy over the state of the art.EnglishAlgorithmsAutomationContent based retrievalDatabase systemsIndexing (of information)SemanticsImage captioningImage databasesLatent semantic analysis (LSA)Video indexingImage processingConference Paper