Paving the Way for Image Understanding: A New Kind of Image Decomposition Is Desired
In this paper we present an unconventional image segmentation approach which is devised to meet the requirements of image understanding and pattern recognition tasks. Generally image understanding assumes interplay of two sub-processes: image information content discovery and image information content interpretation. Despite of its widespread use, the notion of “image information content” is still ill defined, intuitive, and ambiguous. Most often, it is used in the Shannon’s sense, which means information content assessment averaged over the whole signal ensemble. Humans, however, rarely resort to such estimates. They are very effective in decomposing images into their meaningful constituents and focusing attention to the perceptually relevant image parts. We posit that following the latest findings in human attention vision studies and the concepts of Kolmogorov’s complexity theory an unorthodox segmentation approach can be proposed that provides effective image decomposition to information preserving image fragments well suited for subsequent image interpretation. We provide some illustrative examples, demonstrating effectiveness of this approach.
KeywordsImage Decomposition Image Understanding Selective Attention Vision Pattern Recognition Task Biological Vision
- 3.Marr, D.: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. Freeman, San Francisco (1982)Google Scholar
- 5.Clark, A.: Is Seeing All It Seems? Action, Reason and the Grand Illusion. Journal of Consciousness Studies 9(5/6), 181–218 (2002)Google Scholar
- 8.Diamant, E.: Searching for image information content, its discovery, extraction, and representation. Journal of Electronic Imaging 14(1) (January-March 2005)Google Scholar
- 9.NRCS image collection. Available (Maryland collection), http://photogallery.nrcs.usda.gov/
- 11.Antoniou, G., van Harmelen, F.: Semantic Web Primer. MIT Press, Cambridge (2004)Google Scholar