Measuring meaningful information in images: algorithmic specified complexity
Both Shannon and Kolmogorov–Chaitin–Solomonoff (KCS) information models fail to measure meaningful information in images. Pictures of a cow and correlated noise can both have the same Shannon and KCS information, but only the image of the cow has meaning. The application of ‘algorithmic specified co...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley
2015-12-01
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| Schriftenreihe: | IET Computer Vision |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1049/iet-cvi.2014.0141 |
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