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We are concerned by the use of Factorial Correspondence Analysis (FCA) for image retrieval. FCA is designed for analyzing contingency tables. For adapting FCA on images, we first define “visual words” computed from Scalable Invariant Feature Transform (SIFT) descriptors in images and use them for image quantization. At this step, we can build a contingency table crossing “visual words” as terms/words...
We are concerned by the use of factorial correspondence analysis (FCA) for image retrieval. FCA is designed for analysing contingency tables. In textual data analysis (TDA), FCA analyses a contingency table crossing terms/words and documents. For adapting FCA on images, we first define rdquovisual wordsrdquo computed from scalable invariant feature transform (SIFT) descriptors in images and use them...
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