Seeing and Reading Red: Hue and Color-word Correlation in Images and Attendant Text on the WWW
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.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 15014465
- Report Number(s):
- UCRL-CONF-205192; TRN: US200807%%839
- Resource Relation:
- Conference: Presented at: ACM SIGMM International Workshop on Multimedia Information Retrieval, New York, NY, United States, Oct 15 - Oct 16, 2004
- Country of Publication:
- United States
- Language:
- English
Similar Records
Evaluation of a hue capturing based transient liquid crystal method for high-resolution mapping of convective heat transfer on curved surfaces
Gap Assessment (FY 13 Update)