hrcak mascot   Srce   HID

Journal of computing and information technology, Vol. 16 No. 4, 2008.

Izvorni znanstveni članak
https://doi.org/10.2498/cit.1001397

CAViz, an Interactive Graphical Tool for Image Mining

Nguyen-Khang Pham
Annie Morin
Patrick Gros

Puni tekst: engleski, pdf (786 KB) str. 295-302 preuzimanja: 517* citiraj
APA 6th Edition
Pham, N., Morin, A. i Gros, P. (2008). CAViz, an Interactive Graphical Tool for Image Mining. Journal of computing and information technology, 16 (4), 295-302. https://doi.org/10.2498/cit.1001397
MLA 8th Edition
Pham, Nguyen-Khang, et al. "CAViz, an Interactive Graphical Tool for Image Mining." Journal of computing and information technology, vol. 16, br. 4, 2008, str. 295-302. https://doi.org/10.2498/cit.1001397. Citirano 28.02.2021.
Chicago 17th Edition
Pham, Nguyen-Khang, Annie Morin i Patrick Gros. "CAViz, an Interactive Graphical Tool for Image Mining." Journal of computing and information technology 16, br. 4 (2008): 295-302. https://doi.org/10.2498/cit.1001397
Harvard
Pham, N., Morin, A., i Gros, P. (2008). 'CAViz, an Interactive Graphical Tool for Image Mining', Journal of computing and information technology, 16(4), str. 295-302. https://doi.org/10.2498/cit.1001397
Vancouver
Pham N, Morin A, Gros P. CAViz, an Interactive Graphical Tool for Image Mining. Journal of computing and information technology [Internet]. 2008 [pristupljeno 28.02.2021.];16(4):295-302. https://doi.org/10.2498/cit.1001397
IEEE
N. Pham, A. Morin i P. Gros, "CAViz, an Interactive Graphical Tool for Image Mining", Journal of computing and information technology, vol.16, br. 4, str. 295-302, 2008. [Online]. https://doi.org/10.2498/cit.1001397

Sažetak
We propose an interactive graphical tool, CAViz, which allows us to display and to extract knowledge from the results of a Correspondence Analysis CA on images. CA is a descriptive technique designed to analyze simple two-way and multi-way tables containing some measure of correspondence between the rows and columns. CA is very often used in Textual Data Analysis (TDA) where the contingency table crosses words and documents. In image mining, the first step is to define “visual” words in images (similar to words in texts). These words are constructed from local descriptors (SIFT, Scale Invariant Feature Transform) in images. Our tool CAViz is interactive, and it helps the user interpretating the results and the graphs of CA. An application to the Caltech4 base [15] illustrates the interest of CAViz in image mining.

Hrčak ID: 44581

URI
https://hrcak.srce.hr/44581

Posjeta: 684 *