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Proceedings Paper

Pixel-oriented visualization technique for exploration of data flow: application to the analysis of binary files and genomic sequences
Author(s): Alain Giron; Patrick Deschavanne; Andrew Todd-Pokropek; Bernard Fertil
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Paper Abstract

Visualization techniques are very useful when exploring large amounts of information especially when dealing with data flow. A pixel-oriented visualization technique based on the CGR algorithm has been designed to help recognize type of flowing data on the fly. The CGR method-originally developed for the analysis of genomic sequences- and modified here to allow for coding bit sequences- is an algorithm that produces images where pixels dynamically display current frequencies of small groups of bits in the observed sequence. Qualitative and quantitative expressions of order, regularity, structure and complexity of sequences are perceptible from CGR images that consequently may be used for classification or identification purposes. The method has been applied to a wide range of files including texts of different languages, images with different formats, and data or software of various origins. It is observed that CGR images are file-specific and may be consequently used as data signatures. Not only type of files can be easily identified, but subclasses of data are also decipherable.

Paper Details

Date Published: 3 May 2001
PDF: 6 pages
Proc. SPIE 4302, Visual Data Exploration and Analysis VIII, (3 May 2001); doi: 10.1117/12.424941
Show Author Affiliations
Alain Giron, INSERM (France)
Patrick Deschavanne, INSERM (France)
Andrew Todd-Pokropek, INSERM (United Kingdom)
Bernard Fertil, INSERM (France)


Published in SPIE Proceedings Vol. 4302:
Visual Data Exploration and Analysis VIII
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Craig M. Wittenbrink; Matti Grohn, Editor(s)

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