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People share resources in folksonomies and add tags to these resources. There are often only a few tags associated with each resource, which makes the data available in folksonomies extremely sparse. Spareness in folksonomies makes searching resources difficult. Many relevant resources against a query might not be retrieved if they are not associated with the queried terms. One possible way to overcome...
Ranking of resources is relevant in information retrieval systems to present optimally targeted results to initially issued queries. Traditional ranking approaches from the field of information retrieval are not always appropriate to be implemented in search engines based on semantics. Thus this paper proposes a customized ranking approach for multimedia resources based on semantic annotations which...
News production is characterized by a complex and dynamic workflow, in which it is important to produce and broadcast reliable news as fast as possible. In this process, the efficient retrieval of previously broadcasted news items is important, both for gathering background information and for reuse of footage in new reports. This paper discusses how the quality of descriptive metadata of news items...
With the Multimedia Metadata Ontology (M3O), we have developed a sophisticated model for representing among others the annotation, decomposition, and provenance of multimedia metadata. The goal of the M3O is to integrate existing metadata standards and metadata formats rather than replacing them. To this end, the M3O provides a scaffold needed to represent multimedia metadata. Being an abstract model...
A study was conducted to investigate Web users’ information seeking behavior on online newspapers, distinguishing between the task categories fact finding, information gathering and browsing. Over a period of four weeks, the surfing behavior of 41 users was recorded who additionally kept a diary to document their activities. It was scrutinized whether the surfing behavior shows significant differences...
Audiovisual archives hold enormous amounts of valuable content. However, many of these archives are difficult to access, as their holdings are documented using a range of different metadata formats. Being able to exchange metadata is the key to ensuring access to these collections and to establish interoperability among audiovisual collections, between audiovisual collections and other cultural heritage...
Multimedia search and retrieval are considerably improved by providing explicit meaning to visual content by the help of ontologies. Several multimedia ontologies have been proposed recently as suitable knowledge models to narrow the well known semantic gap and to enable the semantic interpretation of images. Since these ontologies have been created in different application contexts, establishing...
A novel solution to the challenge of automatic image annotation is described. Given an image with GPS data of its location of capture, our system returns a semantically-rich annotation comprising tags which both identify the landmark in the image, and provide an interesting fact about it, e.g. “A view of the Eiffel Tower, which was built in 1889 for an international exhibition in Paris”. This exploits...
A crucial piece of semantic web development is the creation of viable ontology matching approaches to ensure interoperability in a wide range of applications such as information integration and semantic multimedia. In this paper, a new approach for ontology matching called IROM (Information Retrieval-based Ontology Matching) is presented. This approach derives the different components of an information...
The domain of architecture, engineering and construction (AEC) has experienced significant improvements with the advent of building information modelling (BIM) applications, which allow AEC specialists to model all information concerning a building design into one three-dimensional building model. Much of these improvements are however generated by the mere availability of such an environment, whereas...
This report establishes a novel concept for tracking complex and articulated objects in the presence of high observation uncertainties utilising Markov random fields Markov chains (MRFMCs) and a novel paradigm of modelling visual perception. The approach is rooted in ideas from information fusion and cognitive sciences. The problem is to track non-rigid and articulated objects in the 3D space. The...
The phenomenal increase of online video content confronts the consuming user with an immeasurable amount of data which can only be accessed with sophisticated multimedia search and management technologies. Usual video search engines provide a keyword-based search, where lexical ambiguity of natural language often leads to imprecise and incomplete results. Semantics of keywords and metadata...
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