Please use this identifier to cite or link to this item:
Title: Combining visual and textual features for indexing images: a hybrid approach
Authors: Benafia Ali
Zaidi Sahnoun
Babahenini Med Chaouki
Keywords: Complex term extraction; linguistic analysis; syntactic patterns; textual features ; visual features.
Issue Date: 27-May-2013
Abstract: In this paper, we propose a new hybrid approach for indexing images and retrieving images from a corpus of images .The proposed approach is based on the fusion of the low level visual and textual descriptors. First, we describe each image of corpus in a model based on graphs. Then, in a second model, we translate the legends associated to images. These two models permit us to calculate the set of visual and textual descriptors for global index .We uses heuristics for the calculation of these features. The proposed approach is tested on a set of images and the results are compared with the human expert indexing. Link
Appears in Collections:Publications Internationales

Files in This Item:
File Description SizeFormat 
Combining visual and textual features for indexing images_a hybrid approach.pdf34,7 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.