Our system OSVIRA (Ontology-Based System for Semantic Information Retrieval Visio-conference and Annotation) is devoted to the development of help to annotation and semantic search of multimedia conferencing resources. It is based on the use of ontology associated with dense thesaurus. It allows using multiple ontology relating to the same seamlessly domain with the ability to define links of e...

Annotation and retrieval tools for multimedia digital libraries have to cope with the complexity of multimedia content. In particular, when dealing with video content, annotation and retrieval tools have to use appropriate knowledge structures that can effectively relate high level concepts to low and mid level visual features and, at the same time, integrate temporal information which is cruci...

We present here GraphOnto, a software component and an API that allow the definition and editing of both standard-based and domain OWL ontologies and their use in multimedia information system components. In our working environment an OWL Upper Ontology that captures the MPEG-7 MDS is utilized and OWL domain ontologies extend the upper ontology with domain knowledge. The ontologies imported in ...

Rich Internet Applications that enable new ways of interaction with digital objects within multimedia scenes become important for educational communities. Such new ways of advanced human-computer interaction, in its different forms match the needs of formal education as well as lifelong learning in medicine, architecture, construction or cultural heritage management. This paper presents innovat...

The present study aimed to explore how multimedia annotation and writing summary influence the level of reading comprehension. Annotation is based on the theoretical framework of attention, which maintains that attention is critical in the acquisition process of an L2 (Robinson, 1995; Schmidt, 1995, 2001). In fact, several studies (Bowles, 2004; Chun & Plass, 1996; Jones, 2004; Jones & Plass, 2...

The semantic annotation of images can benefit from representations of useful concepts and the links between them as ontologies. Recently, several multimedia ontologies have been proposed in the literature as suitable knowledge models to bridge the well known semantic gap between low level features of image content and its high level conceptual meaning. Nevertheless, these multimedia ontologies ...

Semantic annotation of images is a key concern for the newly emerged applications of semantic multimedia. Machine processable descriptions of images make it possible to automate a variety of tasks from search and discovery to composition and collage of image data bases. However, the ever occurring problem of the semantic gap between the low level descriptors and the high level interpretation of...

While the availability of multimedia data, including video, audio and human movement recording, is steadily growing, the integrated viewing, annotation, and analysis of these complex data is still a challenge. This chapter introduces ANVIL as an example of a multimedia annotation and analysis tool and presents recent extensions: The 3D viewing of motion capture data allows a more precise annota...

Automatic text analysis widened the perspective of work on document contents by opening up the studies on the linguistic productions. In this case, we are using annotation as a case study. In our approach, annotation is defined as textual, graphic or sound information, attached to document source (text, photo, audio sequence or video sequence : multimedia). The source of our corpus is from INA ...

When programming in languages such as C, Java, etc., it is difficult to reconstruct the programmer's ideas only from the program code. This occurs mainly because, much of the programmer's ideas behind the implementation are not recorded in the code during implementation. For example, physical aspects of computation such as spatial structures, activities, and meaning of variables are not require...