A Tool of Annotation and Semantic Research of Video-conferences Founded on Conceptual Graphs

Semantic annotation formalism of video-conferencing documents

The objective of this paper is to describe a semantic annotation formalism of video-conferencing documents. It is about an annotation process based in the interpretation of the content of documents. The suggested formalism relies the elaboration of multi-dimensional and document multi-facet model of description, allowing to contextualize the different descriptions. This model is expressed in th...

Iranian EFL Learners L2 Reading Comprehension: The Effect of Online Annotations via Interactive White Boards

This study explores the effect of online annotations via Interactive White Boards (IWBs) on reading comprehension of Iranian EFL learners. To this aim, 60 students from a language institute were selected as homogeneous based on their performance on Oxford Placement Test (2014).Then, they were randomly assigned to 3 experimental groups of 20, and subsequently exposed to the research treatment af...

A Framework of Indexation and Document Video Retrieval based of the Conceptual Graphs

Most of the video indexing and retrieval systems suffer from the lack of a comprehensive video model capturing the image semantic richness, the conveyed signal information and the spatial relations between visual entities. To remedy such shortcomings, we present in this paper a video model integrating visual semantics, spatial and signal haracterizations. It relies on an expressive representati...

OSIRIS - Un outil d'annotation et de recherche sémantique de ressources multimédia fondé sur les Graphes Conceptuels

OSIRIS is a technological platform dedicated to the development of Ontologybased System for Semantic Information Retrieval and Indexation of multimedia resources which are shared within communautary and open web Spaces. Based on the use of both heavyweight ontologies and thesaurii, OSIRIS allows the end-user (1) to describe the semantic content of its resources by using an intuitive model of an...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models