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NetView supports global content-based query access to various
visual databases over the Internet. An integrated metaserver consisting
of a metadatabase, metasearch agent, and query manager facilitates such
access. NetView significantly reduces the amount of time and effort that
users spend in finding information of interest. It also can further
ref...
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Citations
... A repository may support a few of the several different interfaces defined with the system. For example, while WebSeek provides keyword-based semantic retrieval, a system like NetView [26] provides color-based classification. Therefore, the SAs required for solving a retrieval problem depend not only on the the query but also on the public interface of the repository. ...
We present an open and extensible architecture, ImAge, for content-based image retrieval in a distributed environment. The architecture proposes the use of system components with standard public interfaces for implementing retrieval functionality. The standardization of the components and their encapsulation in autonomous software agents result in functional stratification and easy extensibility. Collaboration of the independent retrieval resources in ImAge results in enhanced system capability. Reuse of existing retrieval resources is achieved by encapsulating them in agents with standard interfaces. The addition of independent agents with domain knowledege adds the capability of processing conceptual queries, while reusing the existing system components for feature-based retrieval. A communication protocol allows the declaration of the capabilities of the system components and negotiations for optimal resource selection for solving a retrieval problem. The use of mobile agents alleviates network bottlenecks. This paper describes a prototype implementation that validates the architecture.
... In the area of multimedia databases, content-based retrieval of images is an active research area, where many systems, like QBIC [7], Virage [13], Photobook [12], and MARS [11], have been developed in addition to some image search engines, like VisualSeek [19] and NetView [20]. To meet the retrieval purposes of different users, they all combine different features extracted from image data to support effective and efficient queries. ...
In this paper, we propose four index structures for music data retrieval. Based on suffix trees, we develop two index structures called combined suffix tree and independent suffix trees. These methods still show shortcomings for some search functions. Hence we develop another index, called Twin Suffix Trees, to overcome these problems. However, the Twin Suffix Trees lack of scalability when the amount of music data becomes large. Therefore we propose the fourth index, called Grid-Twin Suffix Trees, to provide scalability and flexibility for a large amount of music data. For each index, we can use different search functions, like exact search and approximate search, on different music features, like melody, rhythm or both. We compare the performance of the different search functions applied on each index structure by a series of experiments.
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The explosive growth of the World Wide Web has produced unprecedented strides in the ongoing quest for information on demand. However there remain significant barriers to the effective use of the Web for certain information retrieval tasks that may be classified as distributed digital library applications. These barriers arise from the computation-intensive pre-processing and filtering of large data sets involved, restrictions imposed by traditional Web protocols, and the compromises inherent in pre-installing application software on every site that contributes data to the digital library. Mobile agent (MA) technology shows significant promise as a means of surpassing these barriers. This paper presents an MA-based architecture for Web-based searching of distributed digital libraries with applicability to medical image analysis and specific reference to digital telemammography. Key characteristics of the architecture are site autonomy, fully distributed maintenance of the digital library, use of host pools and environment sensing to dynamically distribute pre-processing and filtering, minimal reliance on ubiquitous infrastructure, and scalable level of service as infrastructure improves.
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In the last three chapters we have described applications of HCVM in medical informatics, image processing, internet games and sales recruitment. In these applications we have looked at multimedia artifacts in terms of how they can be used for improving the representational efficiency, effectiveness and interpretation of computer-based artifacts and also to some extent how they can be used for perceptual problem solving. However, there are interesting research issues and problems associated with management and retrieval of text, image, video, audio artifacts from single and multimedia databases. The area of multimedia information management and retrieval has in recent times become important due to the advent of the internet and World Wide Web (WWW). The solution to a number of issues in this area today lies with traditional solutions used for conventional databases. Recently, intelligent agents and human-centered information retrieval models are being proposed by researchers to address the problems in this area. In order to gain a proper understanding of the various problems and issues involved, we start this chapter by outlining the three evolution stages of this time honored area. We then describe these evolution stages in some detail. We include in this description applications and solutions proposed for multimedia information management and retrieval. We conclude the chapter by outlining open research problems in this area.
This chapter presents issues related to architecture, query processing, and indexing in visual database systems. The architectural issues for visual databases have more requirements than traditional databases. Metadata hierarchy, indexing using clusters and templates, and clustering using heterogeneous features are core issues in featurebased retrieval and play significant roles in efficiency and accuracy of query results. Querying, ranking, and merging heterogeneous features are explained from the perspective of the performance of the system and the satisfaction of the requirements of the users. Relevance feedback from the users increases accuracy in the retrieval.
The Multimedia Storage and Retrieval System described in this paper is aimed at storing and retrieving medical multimedia
data such as images and videos. There are three significant problems that automatically need to be addressed: providing enough
capacity to fit Terabytes of MPEG files, efficient extraction of video fragments from MPEG files and quality of service issues.
We are working on two different approaches to build MMSRS. The first one, described in this article, utilizes commercial HSM
software for managing the tertiary storage hardware. The second approach that we have started to investigate is an attempt
to build a specialised storage management system from scratch.
This chapter describes the WebView system which supports efficient access to a very large distributed database of geographic images based on content similarity.
An integrated metaserver consisting of a metadatabase, metasearch agent, and query manager facilitates such access. WebView significantly reduces the amount of time and effort that the user spends in finding the information of interest. We also
present approaches to supporting contentbased geographic image retrieval. The work is intended to augment image databases
held by U.S. government agencies, which now generally must be accessed by location and time of the earth images, rather than
similarity of content to a query.
The Multimedia Storage and Retrieval System described in this paper is aimed at storing and retrieving medical multimedia data such as images and videos. There are three significant problems that automatically need to be addressed: providing enough capacity to fit Terabytes of MPEG files, efficient extraction of video fragments from MPEG files and quality of service issues. We are working on two different approaches to build MMSRS. The first one, described in this article, utilizes commercial HSM software for managing the tertiary storage hardware. The second approach that we have started to investigate is an attempt to build a specialised storage management system from scratch.
This thesis pivots around the fulcrum of surgical, educational and technological factors. Whilst there is no single conclusion drawn, it is a multidisciplinary thesis exploring the juxtaposition of different academic domains that have a significant influence upon each other. The relationship centres on the engineering and computer science factors in learning technologies for surgery. Following a brief introduction to previous efforts developing surgical simulation, this thesis considers education and learning in orthopaedics, the design and building of a simulator for shoulder surgery. The thesis considers the assessment of such tools and embedding into a virtual learning environment. It explains how the performed experiments clarified issues and their actual significance. This leads to discussion of the work and conclusions are drawn regarding the progress of integration of distributed simulation within the healthcare environment, suggesting how future work can proceed.
