Search (10 results, page 1 of 1)

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Abstract

In this article, we introduce a user preference model contained in the User Interaction Tools Clause of the MPEG-7 Multimedia Description Schemes, which is described by a UserPreferences description scheme (DS) and a UsageHistory description scheme (DS). Then we propose a user preference learning algorithm by using a Bayesian network to which weighted usage history data on multimedia consumption is taken as input. Our user preference learning algorithm adopts a dynamic learning method for learning real-time changes in a user's preferences from content consumption history data by weighting these choices in time. Finally, we address a user preference-based television program recommendation system on the basis of the user preference learning algorithm and show experimental results for a large set of realistic usage-history data of watched television programs. The experimental results suggest that our automatic user reference learning method is well suited for a personalized electronic program guide (EPG) application.

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Date

14. 2.2001 19:09:22

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Abstract

A database management system is a general-purpose software system that facilitates the processes of defining, constructing, and manipulating databases for various applications. This article investigates the role of data management in multimedia digital libraries, and its implications for the design of database management systems. The notions of content abstraction and content independence are introduced, which clearly expose the unique challenges (for database architecture) of applications involving multimedia search. A blueprint of a new class of database technology is proposed, which supports the basic functionality for the management of both content and structure of multimedia objects

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Abstract

The MPEG-7 standard supports the description of both the structure and the semantics of multimedia; however, the generation and consumption of MPEG-7 structural and semantic descriptions are outside the scope of the standard. This article presents two research prototype systems that demonstrate the generation and consumption of MPEG-7 structural and semantic descriptions in retrieval applications. The active system for MPEG-4 video object simulation (AMOS) is a video object segmentation and retrieval system that segments, tracks, and models objects in videos (e.g., person, car) as a set of regions with corresponding visual features and spatiotemporal relations. The region-based model provides an effective base for similarity retrieval of video objects. The second system, the Intelligent Multimedia Knowledge Application (IMKA), uses the novel MediaNet framework for representing semantic and perceptual information about the world using multimedia. MediaNet knowledge bases can be constructed automatically from annotated collections of multimedia data and used to enhance the retrieval of multimedia.

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Abstract

Purpose - The aim of this paper is to ask why the libraries and the computer and media centres of German universities are picking up too little to improve the conditions for learning, teaching and research. Design/methodology/approach - With the founding of the Information, Communication and Media Center/Informations-, Kommunikations- und Medienzentrums (ICMC/IKMZ), the central services of the Brandenburg Technical University of Cottbus (BTU Cottbus) library, computer center, multimedia center and administrative data processing were combined on a common management level, and the prerequisites for the development of integrated information management were created. Findings - On this basis the following goal was set: the realization of more efficient organizational structures for a broad spectrum of customer- and service-oriented information, communications and media (ICM) offers for research, teaching and administration. Originality/value - The paper gives an overview of German discussion on the convergence of services, and presents the ICMC/IKMZ of Cottbus University as an example of a converged institution.

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

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Abstract

Allowing the description of the structure of documents has been one of the key factors for the success of the hypertext markup language (HTML) family of markup languages. This capability has motivated the phenomenon that has become known as the World Wide Web (the "Web"). The next generation of the Web, known as the Semantic Web (Berners-Lee, Hendler. & Lassila, 2001), aims at describing the meaning rather than the structure of data, adding more intelligent search, retrieval, and other agent functionalities to the Web, and tools that make the implementation of this Semantic Web possible are greatly needed. The increasing availability of multimedia on the World Wide Web makes metadata description efforts for multimedia a pressing need, yet with the volume of content being created, often only a rudimentary description of the multimedia content is available. In addition, the digital mode entails a host of other descriptive needs, such as the format, factors such as compression and transmission, and issues such as copyright restrictions and terns for usage. Thus, new and efficient ways of describing multimedia content and meaning are needed as well as a structure that is capable of carrying such descriptions. Several attempts have been made to grapple with this issue using descriptive metadata, one of the earliest of which was the revision of the Dublin Core to ascertain essential features necessary to resource discovery of visual items in a networked environment (Weibel & Miller, 1997). Other metadata schemes, such as the Visual Resources Association Core Categories (http://www.vraweb.org/vracore3.htm), also include format information necessary to the use and display of digital images.

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Date

12. 8.2012 18:05:22

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Abstract

Relevance has been a difficult concept to define, let alone measure. In this paper, a simple operational definition of relevance is proposed for a Web-based library catalog: whether or not during a search session the user saves, prints, mails, or downloads a citation. If one of those actions is performed, the session is considered relevant to the user. An analysis is presented illustrating the advantages and disadvantages of this definition. With this definition and good transaction logging, it is possible to ascertain the relevance of a session. This was done for 905,970 sessions conducted with the University of California's Melvyl online catalog. Next, a methodology was developed to try to predict the relevance of a session. A number of variables were defined that characterize a session, none of which used any demographic information about the user. The values of the variables were computed for the sessions. Principal components analysis was used to extract a new set of variables out of the original set. A stratified random sampling technique was used to form ten strata such that each new strata of 90,570 sessions contained the same proportion of relevant to nonrelevant sessions. Logistic regression was used to ascertain the regression coefficients for nine of the ten strata. Then, the coefficients were used to predict the relevance of the sessions in the missing strata. Overall, 17.85% of the sessions were determined to be relevant. The predicted number of relevant sessions for all ten strata was 11 %, a 6.85% difference. The authors believe that the methodology can be further refined and the prediction improved. This methodology could also have significant application in improving user searching and also in predicting electronic commerce buying decisions without the use of personal demographic data