NDLI: Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW

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Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW

Content Provider	ACM Digital Library
Author	Newsam, Shawn
Abstract	This work represents an initial investigation into determining whether correlations actually exist between metadata and content descriptors in multimedia datasets. We provide a quantitative method for evaluating whether the hue of images on the WWW is correlated with the occurrence of color-words in metadata such as URLs, image names, and attendant text. It turns out that such a correlation does exist: the likelihood that a particular color appears in an image whose URL, name, and/or attendant text contains the corresponding color-word is generally at least twice the likelihood that the color appears in a randomly chosen image on the WWW. While this finding might not be significant in and of itself, it represents an initial step towards quantitatively establishing that other, perhaps more useful correlations exist. These correlations form the basis for exciting novel approaches that leverage semi-supervised datasets, such as the WWW, to overcome the semantic gap that has hampered progress in multimedia information retrieval for some time now.
Starting Page	101
Ending Page	106
Page Count	6
File Format	PDF
ISBN	159593216X
DOI	10.1145/1133890.1133903
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-08-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multimedia and metadata data mining Semi-supervised learning Image content descriptors
Content Type	Text
Resource Type	Article

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