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—Most of the techniques used in the literature in clustering symbolic data are based on the hierarchical methodology, which utilizes the concept of agglomerative or divisive methods as the core of the algorithm. The main contribution of this paper is to show how to apply the concept of fuzziness on a data set of symbolic objects and how to use this concept(More)
This paper presents WhatAreYouLOOKing4 (WAY-LOOK4) system, a novel framework for content-based image retrieval (CBIR). Local descriptors are used to describe the visual contents of an image. Image signatures and similarity retrieval are based on the images' color and texture features. The main motivation of the system design is to use simple and efficient(More)
A video summary is a sequence of still pictures that represent the content of a video in such a way that the respective target group is rapidly provided with concise information about the content, while the essential message of the original video is preserved. In this paper, we present VGRAPH, a simple yet effective video summarization approach that(More)
Because of the different characteristics of Arabic language and Romance and Anglo Saxon languages, recognition of documents written in hybrid of these languages requires that the language of the text to be identified priori to the recognition phase. In this paper, three efficient techniques that can be used to discriminate between text written in Arabic(More)