In 1999, the Archaeology Technologies Laboratory (ATL) at North Dakota State University (NDSU) began developing an Internet-based Digital Archive Network for Anthropology (DANA). This federation of databases links res...
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ISBN:
(纸本)0769514022
In 1999, the Archaeology Technologies Laboratory (ATL) at North Dakota State University (NDSU) began developing an Internet-based Digital Archive Network for Anthropology (DANA). This federation of databases links researchers, students, and the general public to distributed databases that include realistic, accurate, three-dimensional (313), visual representations of artifacts, fossils, and other objects, along with 2D digitized documents (e.g., maps, plan views, excavation profiles, and photographs) and various associated data. DANA is being created through development and implementation of cross-platform, open standards that will facilitate interoperability and exchange of information between remote systems. DANA enables dynamic use of digital models, virtual measurement tools, and an array of data supplied by contributing content providers (collaborators) for education and scholarly research. This online network of anthropology resources facilitates reliable, "anytime, anywhere" access to content and services. DANA constitutes an enormously valuable learning resource that can be accessed and used at all levels, from K-12, to undergraduate, to post-graduate, to professional, to lifelong learning.
E-learning or learning via the Web is now changing the way universities and corporations offer education and training. Rather than using conventional means for remotely distributing and delivering courses and classroo...
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E-learning or learning via the Web is now changing the way universities and corporations offer education and training. Rather than using conventional means for remotely distributing and delivering courses and classroom lectures, universities and enterprises are moving towards Web-based academic and training offerings. While content acquisition and distribution can be automated in a systematic fashion, research challenges remain in the area of personalized content delivery, access, and augmented interaction. Automated content indexing and annotation for easy and efficient access and navigation of various media elements associated with the course material become key tasks in flexible content delivery and use. E-Learning Media Navigator (ELM-N) from IBM Research is a system with which a user can access and interact with online courses presented as audiovisual material, along with related slides and white board contents in a time-synchronized fashion. In this demonstration, the system capabilities and the research technologies behind them will be presented.
Typical implementations of standard video compression algorithms use variance-based perceptual masking to adaptively vary the degree of compression noise with video content;the idea being that the human visual system ...
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ISBN:
(纸本)081943874X
Typical implementations of standard video compression algorithms use variance-based perceptual masking to adaptively vary the degree of compression noise with video content;the idea being that the human visual system is more sensitive to errors in low variance regions of the image. On a similar note, quality assessment algorithms employ similar spatial-frequency adaptive measures to judge compressed video quality. Such simplistic analysis leads to problems when we encounter clean edges in video (for example, text) which although classified as high frequency areas, are still very sensitive to compression noise. Such discrimination between good and bad texture is particularly important for low bit rate, internet video transmission. In this paper we will propose a novel, computationally simple scheme which further distinguishes between clean and random edges. By comparing the proposed algorithm with other standard texture classification schemes in literature, we will show that we obtain a substantial improvement in discriminatory ability, albeit at a much lower computational cost. Further more, we will show that the proposed scheme can be applied on a per macro-block basis, thus making it particularly suitable to drive standard, block based video compression algorithms such as H.261/3 or MPEG-1/2 which are quite popular.
Along with increased demand for access to distributed information and communication via the Internet, wireless PDA devices and cellular phones, there is a tremendous need for information providers to adapt to various ...
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ISBN:
(纸本)081943874X
Along with increased demand for access to distributed information and communication via the Internet, wireless PDA devices and cellular phones, there is a tremendous need for information providers to adapt to various user demands, not only in terms of the diversity of content, but also in how that content is delivered. The diversity of user, network and client capabilities often make traditional approaches such as the storage of multiple representations impractical. In the case of video, one of the primary considerations is the ability to provide content over low bandwidth and noisy networks as well as higher capacity networks. In this paper, we focus on novel techniques to adapt video for its delivery over IF. We provide insight into the existing problems and provide an overview of how our video analysis work is being applied in these areas.
Most of the work on multimedia medical images security until now has focused on cryptographic approaches. While valuable, cry ptography is not enough to control access to images. Therefore additional protection approa...
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In semantic content-based image/video browsing and navigation systems, efficient mechanisms to represent and manage a large collection of digital images/videos are needed. Traditional keyword-based indexing describes ...
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ISBN:
(纸本)0819439886
In semantic content-based image/video browsing and navigation systems, efficient mechanisms to represent and manage a large collection of digital images/videos are needed. Traditional keyword-based indexing describes the content of multimedia data through annotations such as text or keywords extracted manually by the user from a controlled vocabulary This textual indexing technique lacks the flexibility of satisfying various kinds of queries requested by database users and also requires huge amount of work for updating the information. Current content-based retrieval systems often extract a set of features such as color, texture, shape motion, speed, and position from the raw multimedia data automatically and store them as content descriptors. This content-based metadata differs from text-based metadata in that it supports wider varieties of queries and can be extracted automatically, thus providing a promising approach for efficient database access and management. When the raw data volume grows very large, explicitly extracting the content-information and storing it as metadata along with the images will improve querying performance since metadata requires much less storage than the raw image data and thus will be easier to manipulate. In this paper we maintain that storing metadata together with images will enable effective information management and efficient remote query. We also show, using a texture classification example, that this side information can be compressed while guaranteeing that the desired query accuracy is satisfied. We argue that the compact representation of the image contents not only reduces significantly the storage and transmission rate requirement, but also facilitates certain types of queries. algorithms are developed for optimized compression of this texture feature metadata given that tile goal is to maximize tile classification performance for a given rate budget.
Supporting collaborative multimediacontent management activities, as e.g., image and video acquisition, exploration, and access dialogues between naive users and multi media information systems is a non-trivial task....
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ISBN:
(纸本)0819439908
Supporting collaborative multimediacontent management activities, as e.g., image and video acquisition, exploration, and access dialogues between naive users and multi media information systems is a non-trivial task. Although a wide variety of experimental and prototypical multimedia storage technologies as well as corresponding indexing and retrieval engines are available, most of them lack appropriate support for collaborative end-user oriented user interface front ends. The development of advanced user adaptable interfaces is necessary for building collaborative multimedia information-space presentations based upon advanced tools for information browsing, searching, filtering, and brokering to be applied on potentially very large and highly dynamic multi media collections with a large number of users and user groups. Therefore, the development of advanced and at the same time adaptable and collaborative computer graphical information presentation schemes that allow to easily apply adequate visual metaphors for defined target user stereotypes has to become a key focus within ongoing research activities trying to support collaborative information work with multimedia collections.
With the growth of using World Wide Web (WWW), WWW has become a powerful means of dissemination information to the popular. Thus, the demand for faster, more efficient, and more convenient ways for accessing to WWW ar...
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ISBN:
(纸本)0769512364
With the growth of using World Wide Web (WWW), WWW has become a powerful means of dissemination information to the popular. Thus, the demand for faster, more efficient, and more convenient ways for accessing to WWW are urgently required. Consequently, the heterogeneous I/O client devices, i.e., DTMF telephone sets, fax machines, pocket PCs, cellular phones, note books, desktop computers, are devised to allow users to access to WWW In order to provide suitable WWW access interfaces, currently;many mark-up languages and systems are proposed for these heterogeneous I/O client devices. As a result, n heterogeneous I/O devices need n mark-up languages and systems using this approach. In this paper, we proposed a mark-up language, called Quality of Information Mark-tip Language (QIML), and browsing systems to resolve the above problem. With QIML, one can provide suitable and flexible content to heterogeneous client devices, including computers, cellular phones, traditional DTMF telephone sets, and fax machines, using one mark-up language and system. In this way;the overhead for maintaining mane web servers for servicing users with heterogeneous I/O client devices can be reduced a lot.
This paper presents a distributed multimedia media-access control protocol that is specifically designed for half-duplex radios and direct-sequence signaling. Each radio can transmit and receive random-access data and...
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ISBN:
(纸本)0780372255
This paper presents a distributed multimedia media-access control protocol that is specifically designed for half-duplex radios and direct-sequence signaling. Each radio can transmit and receive random-access data and simultaneously support several virtual-circuit connections. A reservation-based approach with active acknowledgments is used for the transmission of random-access data. Virtual-circuit data is transmitted periodically, and associated with each virtual circuit connection are periodically broadcast control packets containing channel-access information. The content of the control packets is used by other radios to avoid contention. Numerical results show that the protocol outperforms a number of related alternatives.
The volume of multimedia data generated nowadays is exploding. To efficiently access and retrieve desired information, tools that enable automated analysis based on content are becoming indispensable. multimedia conte...
The volume of multimedia data generated nowadays is exploding. To efficiently access and retrieve desired information, tools that enable automated analysis based on content are becoming indispensable. multimediacontent is defined at both perceptual and conceptual levels. The former refers to the content characterized purely by intrinsic perception properties such as color, motion, or acoustic features. The latter refers to the content that is specified based on concepts or semantics such as sunset, anchors, or news headline stories. At both levels, the content is embedded in multiple forms that are usually complimentary to each other. The main objective of this thesis is to adaptively analyze the multimediacontent by integrating cues from multiple modalities, including audio, video, and text, mainly in the scope of news broadcast. At the perceptual level, news broadcast data is segmented and classified into different video events such as news reporting and commercials. Audio and visual features are developed and integrated, aiming at discriminating different events effectively. Various classification mechanisms, including linear fuzzy threshold, maximum likelihood using Gaussian Mixture Model and Hidden Markov Model, Neural Network, as well as Support Vector Machine, are benchmarked. At the conceptual level, algorithms and demonstration systems for three applications are developed. In News Broadcast Browsing System, recovering and presentation of the embedded hierarchy structure of news broadcast are addressed. Important semantic objects such as hosting characters and headline news stories are adaptively extracted using the audio/visual models that are bootstrapped from on-line data. The problem of efficient search and retrieval of segmented multimedia objects based on audio is discussed in Query-by-example in Audio System. A distance metric framework is proposed to determine the difference of mixture type Probability Density Functions, and is applied in measuring
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