The K-Space Network of Excellence: on the Way to 'Semantic' Multimedia (original) (raw)
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It is the target of this special issue to collect and report on recent work that aims at narrowing the large disparity between the low-level descriptors that can be computed automatically from multimedia content and the richness and subjectivity of semantics in user queries and human interpretations of audiovisual media -the so-called Semantic Gap.
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In the last decade, substantial progress has been made in multimedia creation, transmission, presentation and analysis to facilitate the development of large-scale multimedia information systems. Together with the maturation and deployment of semantic web technologies, it is now possible to build a new generation of multimedia applications that enables large-scale semantic representation, analysis, and delivery of multimedia data from heterogeneous data sources. However, there is still a long way to go for mature solutions of multimedia database systems that are capable of processing semantics-rich, large-volume of multimedia data. It could be even more challenging if such systems are under stringent functional and nonfunctional (e.g., QoS) requirements.
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This paper reviews various efforts to define and capture the semantics of multimedia data. These efforts are particularly relevant to the problem of storing, managing and querying the semantic content of such data. Since there is not yet an accepted solution to the problem of how to represent, organize and manage multimedia data and the related semantics by means of a formal framework, this paper aims at providing some major research trends in this area. The focus is on ontologies, which allow the exchange of semantics of multimedia content between distributed information systems. This paper aims at reporting on recent trends in the development of multimedia ontologies.
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The objective of this special issue is to collect and report on recent work that aims at narrowing the large disparity between the low-level descriptors that can be computed automatically from multimedia content and the richness of subjectivity of semantics in user queries and human interpretations of audiovisual data. It represents a step towards bridging the gap between research cultures at extreme ends of the semantic multimedia spectrum. At one end, the semantic web and its supporting technologies are becoming established in both the open data environment and within specialist domains, such as corporate intranet search, e-Science (particularly life sciences), and cultural heritage. To facilitate the world-wide sharing of media, W3C is developing standard ways of denoting fragments of audiovisual content and of specifying and associating semantics with these. At the other end of the spectrum, media analysis tools continue to grow in sophistication, identifying features that can then be associated with explicit Multimed Tools Appl
Multimedia constitutes an interesting field of application for Semantic Web and Semantic Web reasoning, as the access and management of multimedia content and context depends strongly on the semantic descriptions of both. At the same time, multimedia resources constitute complex objects, the descriptions of which are involved and require the foundation on sound modeling practice in order to represent findings of low-and high level multimedia analysis and to make them accessible via Semantic Web querying of resources. This tutorial aims to provide a red thread through these different issues and to give an outline of where Semantic Web modeling and reasoning needs to further contribute to the area of semantic multimedia for the fruitful interaction between these two fields of computer science. 1
Semantic Modeling of Digital Multimedia
Citeseer
- The requirement for a commonly accepted efficient mapping between multimedia metadata standards and semantic web-ontology standards is a major issue recognized by semantic multimedia research community. Though there have been several attempts to translate MPEG-7 ...
Context-based multimedia semantics modelling and representation
2013
The evolution of the World Wide Web, increase in processing power, and more network bandwidth have contributed to the proliferation of digital multimedia data. Since multimedia data has become a critical resource in many organisations, there is an increasing need to gain efficient access to data, in order to share, extract knowledge, and ultimately use the knowledge to inform business decisions. Existing methods for multimedia semantic understanding are limited to the computable low-level features; which raises the question of how to identify and represent the high-level semantic knowledge in multimedia resources. In order to bridge the semantic gap between multimedia low-level features and highlevel human perception, this thesis seeks to identify the possible contextual dimensions in multimedia resources to help in semantic understanding and organisation. This thesis investigates the use of contextual knowledge to organise and represent the semantics of multimedia data aimed at eff...
2012
2 Abstract: With the emergence of the low cost multimedia enable devices and storage the progression of the multimedia increases at an incredible velocity. These advancements in the technology have culminated with the immense amount of data. Effective utilization of this colossal data requires a need for the effective and intelligent system and technique to store, annotate, manage, search and retrieve. Semantically analyzing and interpreting the multimedia data is an open challenge. Multimedia analysis starts from the text based system to the content based and finally to the semantic based retrieval systems.