Mohamed Maher

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—In this paper, the authors propose a novel automatic image annotation approach which relies on two main components: (i) identification of homogenous image regions, which share the same semantics using fuzzy clustering algorithm, and (ii) membership-based cross media relevance model to learn the association between keywords and image regions. The proposed(More)
The widespread of smart devices along with the exponential growth of virtual societies yield big digital image databases. These databases can be counter-productive if they are not coupled with efficient Content-Based Image Retrieval (CBIR) tools. The last decade has witnessed the introduction of promising CBIR systems and promoted applications in various(More)
The increased number of web services and the continuous need to integrate them into complex business processes have increased the need to enhance the web service discovery and selection processes. Service discovery based on semantics of web services is one of the main needs in service integration and composition. The main current approaches for semantic(More)
Tracking of leukocytes in vivo and recording their dynamics with intravital microscopy is an effective technique for further understanding of the mechanism of inflammation and the influence of drug delivery in microcirculation. Though the technique is well established, automated quantitative analysis of the captured video frames is lacking in the(More)
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