Title :
Automatic multimedia annotation through kernel combinations
Author :
De Cao, Diego ; Basili, Roberto ; Petitti, Riccardo
Author_Institution :
Dept. of Comput. Sci., Univ. of Rome Tor Vergata, Rome
Abstract :
An image classification model is here presented based on the integration of visual and textual properties supported by complex kernel functions. Linguistic descriptions derived through Information Extraction from Web pages are here integrated with the visual features corresponding to the images, according to independent kernel combinations. The impact of dimensionality reduction methods (i.e. LSA) and of proper combinations of redundant feature descriptions is also presented. The resulting workflow is largely applicable as the comparative evaluation discussed here confirms.
Keywords :
Internet; image classification; multimedia computing; Web page extraction; automatic multimedia annotation; complex kernel functions; dimensionality reduction methods; image classification model; linguistic descriptions; redundant feature descriptions; Data mining; Feature extraction; HTML; Image classification; Image processing; Image segmentation; Kernel; Multimedia systems; Support vector machine classification; Support vector machines;
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on
Conference_Location :
London
Print_ISBN :
978-1-4244-3609-5
Electronic_ISBN :
978-1-4244-3610-1
DOI :
10.1109/WIAMIS.2009.5031434