Search (7 results, page 1 of 1)

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Abstract

This article provides an overview of our experiments in using MPEG-7 in a television news retrieval application. Our study is based on a survey of professional users in the Television Suisse Romande (TSR) television news production environment. We present here two main issues. First, we describe the way the generic and voluminous MPEG-7 Schema can be exploited in the context of a specific application domain. Second, we discuss the problem of how to search MPEG-7 descriptions, which are detailed and complex by nature, via a high-level user-oriented retrieval model.

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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

Improvements in network bandwidth along with dramatic drops in digital storage and processing costs have resulted in the explosive growth of multimedia (combinations of text, image, audio, and video) resources on the Internet and in digital repositories. A suite of computer technologies delivering speech, image, and natural language understanding can automatically derive descriptive metadata for such resources. Difficulties for end users ensue, however, with the tremendous volume and varying quality of automated metadata for multimedia information systems. This lecture surveys automatic metadata creation methods for dealing with multimedia information resources, using broadcast news, documentaries, and oral histories as examples. Strategies for improving the utility of such metadata are discussed, including computationally intensive approaches, leveraging multimodal redundancy, folding in context, and leaving precision-recall tradeoffs under user control. Interfaces building from automatically generated metadata are presented, illustrating the use of video surrogates in multimedia information systems. Traditional information retrieval evaluation is discussed through the annual National Institute of Standards and Technology TRECVID forum, with experiments on exploratory search extending the discussion beyond fact-finding to broader, longer term search activities of learning, analysis, synthesis, and discovery.

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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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Date

14. 2.2001 19:09:22

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

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Date

12. 8.2012 18:05:22