Rapid growth in the volume of multimedia information creates new challenges for information retrieval and sharing, and thus anticipates the emergence of the Semantic Web [2, 3]. The principal component in most of multimedia applications is the use of visual information and new approaches are essential to improve the inferring of semantic relationships from low-level features for semantic image ...

The Semantic based annotation of an image is very important and a difficult task in content-based image retrieval (CBIR). The low-level features of the images are described using color and the texture features and the proposed model is used for semantic annotation of images. Also the textual annotations or the tags with multimedia content are the most effective approaches to organize and to sup...

Content-based multimedia retrieval is a very hot research topic, applicable to several domains. Traditional feature vector based retrieval methods cannot provide semantically meaningful results. Additionally manual annotation is both time/money consuming and user-dependent. To address these problems in this paper we present an approach to automatically annotate multimedia files by incorporating...

access anytime–anywhere, 52 to annotations in a multimedia ESL reading lesson, and level of learner, 20 to annotations in a multimedia French reading program, and level of learner, 20–22 to CALL materials for implementing language support, 52 Active Worlds, 79, 80 activity theory research perspective, 107 Adobe Connect Pro, 131 advanced-level students access to annotations in a multimedia ESL r...

The paper presents an MPEG−7 Multimedia Description Schemes (MDS)−based metadata and user profile model used within an enhanced DTV environment for semantic annotation and personalized access to multiple sports DTV services. It is shown that in order to enable intelligent and personalized processing, management and use of multimedia content and services, the use of application specific metadata...

The current trend of image retrieval is to incorporate the image visual features used in Content Based Image Retrieval (CBIR) and semantics annotations used in Metadata Based Image Retrieval to enhance retrieval performance. Because of the pervasive of consumer imaging devices, building personal digital photograph libraries became an increasingly interested domain. Personal digital photograph c...

In this work, we study the possibilities of multimedia management and automatic annotation focused on legal domain. In this field, professionals are used to consume the most part of their time searching and retrieving legal information. For instance, in scenarios as ediscovery and e-learning search and retrieval of the multimedia contents are the basis of the whole applications. In addition, th...

FACULTY OF ENGINEERING, SCIENCE AND MATHEMATICS SCHOOL OF ELECTRONICS AND COMPUTER SCIENCE INTELLIGENCE, AGENTS, MULTIMEDIA GROUP A mini-thesis submitted for transfer from MPhil to PhD by Mischa M Tuffield Personal information and the act of publishing multimedia artifacts to the World Wide Web is becoming more and more observable. This report presents an infrastructure for the capturing and ex...

background: above all methods effective learning results from decent training, acquired in the proper environment and encouraging creative methods. computer-assisted training by educational software is considered a fundamental measure to improve medical and dentistry education systems. this study aims to design and assess fixed dental prostheses via 2 multimedia instructional contents at the gu...

Although annotation is a widely-researched topic in Corpus Linguistics (CL), its potential role in Data Driven Learning (DDL) has not been addressed in depth by Foreign Language Teaching (FLT) practitioners. Furthermore, most of the research in the use of DDL methods pays little attention to annotation in the design and implementation of corpus-based/driven language teaching. In this paper, we ...