The article focuses on digital video analysis and recognition. Digital video media analysis and recognition (DVMAR) has become an active research topic in multimediasystems and computer vision areas. This is because ...
The article focuses on digital video analysis and recognition. Digital video media analysis and recognition (DVMAR) has become an active research topic in multimediasystems and computer vision areas. This is because progress of computer and communication technologies has created strong demand for many applications of digital video in a wide variety of areas, many of which require managing video in a database or information system environment; on the other hand, indexing and retrieval schemes for traditional databases and video manipulation tools in current television systems cannot manage video in an effective, interactive, and content-based manner. The goal of DVMAR is to develop algorithms, tools, and systems to extract and analyze basic elements, features and structures of video so as to make content-based access and transmission of video data feasible and more effective. In general, video media is considered to have the following basic structural elements: shots, scenes, sequences and segments.
Community memory can provide the crucial bridge between large-scale information bases like digital libraries and the day-to-day activities of a community’s members. Just as a digital library is based on a general str...
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Community memory can provide the crucial bridge between large-scale information bases like digital libraries and the day-to-day activities of a community’s members. Just as a digital library is based on a general structure and conventional means of access to diverse collections of materials, a community memory will help cull and shape the structure and contents of this collection to meet more particular needs. But it is by no means straightforward for people to collect, maintain, share, and apply the materials that are part of a community memory. Useful and usable community memories require support for: (1) the acquisition and evolution of content and structure; (2) the identification of materials and community members relevant to a particular task; and (3) the maintenance of organizations that are mutually intelligible across the community. In this paper, we explore issues related to these three requirements based on a meta-analysis of our collective experiences with the development and use of shared hypermedia information resources.
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