The product of over 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. It presents a unified approach to discussing recent advances in multimedia and explains how a multimedia ontology can fill the semantic gap between concepts and the media world. It relays real-life examples of implementations in different domains to illustrate how this gap can be filled.
The product of over 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. It presents a unified approach to discussing recent advances in multimedia and explains how a multimedia ontology can fill the semantic gap between concepts and the media world. It relays real-life examples of implementations in different domains to illustrate how this gap can be filled.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Santanu Chaudhury did his BTech (1984) in Electronics and Electrical Communication Engineering and PhD (1989) in Computer Science and Engineering from Indian Institute of Technology (IIT), Kharagpur, India. Currently, he is a professor in the Department of Electrical Engineering at IIT Delhi. He was also Dean, Undergraduate Studies at IIT Delhi. He was awarded INSA medal for young scientists in 1993. He is a fellow of Indian National Academy of Engineering and National Academy of Sciences, India. He is also a fellow of the International Association of Pattern Recognition. His research interests are in the areas of Computer Vision, Artificial Intelligence and Multimedia Systems. He has published more than 150 papers in international journals and conference proceedings. He has been on the programme committee of a number of international conferences, including ICCV, ACCV, ICPR, ICVGIP, and PReMI. Anupama Mallik did her BSc (1986) in Physics and Masters in Computer Applications (1989) from Delhi University, and PhD (2012) in Electrical Engineering from the Indian Institute of Technology (IIT), Delhi. Her PhD thesis dealt with ontology based exploration of multimedia contents. She is associated with Multimedia research group of the Electrical Engineering Department, IIT Delhi and has worked as a Research Scientist in projects sponsored by the Department of Science and Technology, Government of India. Her current research interests include Semantic web based applications, multimedia ontology, ontology applications in Internet of Things, and in cultural heritage preservation. She is a visiting faculty at the Indraprastha Institute of Information Technology, Delhi (IIIT-D). She is a member of the ACM. Hiranmay Ghosh is a principal scientist with TCS Innovation Labs Delhi and leads its multimedia research track. He received his PhD from IIT, Delhi and his BTech and BSc degrees from the University of Calcutta. His current research interests include multimedia systems, knowledge representation and reasoning, semantic web, intelligent agents, cognitive models and robotics. He is an adjunct faculty member of the Electrical Engineering Department of IIT, Delhi and is associated with its multimedia research group. He is a member of the academic advisory committee of IIT, Ropar. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), and a member of ACM and IUPRAI.
Inhaltsangabe
Introduction. Ontology and the Semantic Web. Characterizing Multimedia Semantics. Ontology Representations for Multimedia. Multimedia Web Ontology Language. Modeling the Semantics of Multimedia Content. Learning Multimedia Ontology. Applications Exploiting Multimedia Semantics. Distributed Multimedia Applications. Application of Multimedia Ontology in Heritage Preservation. Open Problems and Future Detectors. Appendices.
Introduction. Ontology and the Semantic Web. Characterizing Multimedia Semantics. Ontology Representations for Multimedia. Multimedia Web Ontology Language. Modeling the Semantics of Multimedia Content. Learning Multimedia Ontology. Applications Exploiting Multimedia Semantics. Distributed Multimedia Applications. Application of Multimedia Ontology in Heritage Preservation. Open Problems and Future Detectors. Appendices.
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