Advances in digital storage and processing speed have made feasible the creation of large image databases with rapid access to individual items stored therein. The huge data sizes of images and the enormous number of ...
Advances in digital storage and processing speed have made feasible the creation of large image databases with rapid access to individual items stored therein. The huge data sizes of images and the enormous number of images in a typical image database, coupled with inexact nature and subjective interpretations, have called for content-based retrieval systems. Fast and accurate retrievals are crucial for such systems to be used efficiently. This project provides an overview on the content-based Image Retrieval (CBIR) techniques developed recently. Research directions and current available CBIR systems are presented. Important issues such as image segmentation algorithms, image logic structure and spatial relationships, spatial access methods and Query by Visual Example techniques (QVE) are discussed in detail. A prototype image retrieval system called IMAGESEEK is implemented using the JAVA programming language. The system enables the search of natural colour images and demonstrates the various ideas of Query by Visual Example techniques. A framework for CBIR systems is proposed. Experimental results of different QVE algorithms are discussed and compared with each other. The system has been successful in retrieving images from our sample data sets by their global and local colours. The user-friendly interface of IMAGESEEK allows the user to tailor and refine the query interactively by changing the retrieval algorithm, the threshold value, the weights, and the selected region of the query image. IMAGESEEK provides us a way to understand the key issues of CBIR techniques. It is a small but valuable component in the collection of multimedia retrieval systems.
The paper presents algorithms and principles for the management of large scale broadband multimedia services. For the implementation of these services, we use a network of distributed media servers, storing broadband ...
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The paper presents algorithms and principles for the management of large scale broadband multimedia services. For the implementation of these services, we use a network of distributed media servers, storing broadband media information e.g. audio and video that are streamed from the server to the connected clients. The problem studied in the paper is the managing of media content on a server network. We present the "Distributed Server Management System (DSMS)" that performs an efficient content and service management on the distributed servers. The DSMS allows one to collect access patterns from the users of the multimedia services and uses this knowledge for the solution of some combinatorial optimization algorithms that have to be solved for an efficient assignment of media assets. We present these optimization algorithms and evaluate their performance using some benchmark instances.
We present an adaptive wavelet view element framework for managing different types of multi-dimensional data in storage and retrieval applications. We consider the problems of multi-dimensional data compression, multi...
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ISBN:
(纸本)1581131461
We present an adaptive wavelet view element framework for managing different types of multi-dimensional data in storage and retrieval applications. We consider the problems of multi-dimensional data compression, multi-resolution sub-region access, selective materialization, progressive retrieval and similarity searching. The framework uses wavelets to partition the multi-dimensional data into view elements that form the building blocks for synthesizing views of the data. The view elements are organized and managed using different view element graphs. The graphs are used to guide cost-based view element selection algorithms for optimizing compression, access, retrieval and search performance. We present the adoptive wavelet view element framework and describe its application in managing multi-dimensional data such as 1-D time series data, 2-D images, video sequences, and multi-dimensional data cubes. We present experimental results that demonstrate that the adaptive wavelet view element framework improves performance of compressing, accessing, and retrieving multi-dimensional data compared to non-adaptive methods.
This paper presents principles and algorithms for the management of a network of media servers. Such a server network allows the online delivery of broadband multimedia data, e.g. audio and video streams, to a large n...
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This paper presents principles and algorithms for the management of a network of media servers. Such a server network allows the online delivery of broadband multimedia data, e.g. audio and video streams, to a large number of widely distributed clients. Thus, the implementation of large scale distributed broadband media information services is possible if such networks can be handled efficiently. In the paper two new combinatorial optimization problems are defined that have to be solved for an efficient management of the distributed media servers connected by a high-bandwidth communication network. The algorithms consider the case of a static mapping of media assets onto the server network as well as the dynamic migration of media assets on such a network. The first scenario is used in the case that all media assets are loaded for the first time onto the server network. The second scenario is applied dynamically during run-time of an information service taking the varying user access pattern and changing media content of the server network into account. In this paper the algorithms are presented and their efficiency is demonstrated using some benchmark instances. The algorithms are part of a larger distributed system that allows the management of a network of distributed media servers. The principles of this system are presented as well as some applications that have been developed and are supported by this distributed server management system (DSMS).
We propose a buffer cache algorithm to build a cost effective storage server for real time news objects. In a news on demand server the number of concurrent streams is bounded for the maximum disk bandwidth the NOD se...
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We propose a buffer cache algorithm to build a cost effective storage server for real time news objects. In a news on demand server the number of concurrent streams is bounded for the maximum disk bandwidth the NOD server provides. The maximum numbers of concurrent streams can be increased more than the total disk bandwidth supports if the buffer cache is applied to hold hot news objects. However it is said that conventional caching algorithms do not go well with real time news objects. With our proposed caching scheme all of the news objects are classified based on their arrival rate; their eligibility is then checked for caching. Only suitable objects are permitted to access the buffer pool to reduce unnecessary buffer replacement. We use simulation to verify the efficiency of our proposed algorithm and our results show that by using this caching scheme, compared with servicing requested streams only by disks, a greater number of requests are serviced without extra cost.
Interface design is particularly important in public accesssystems, since the quality of the interface will influence the effectiveness with which the public can gather information and conduct transactions. It is als...
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Interface design is particularly important in public accesssystems, since the quality of the interface will influence the effectiveness with which the public can gather information and conduct transactions. It is also particularly challenging. This paper examines some of the information systems methodologies that have a contribution to make in the design of interfaces for public accesssystems. On the basis of this examination, some of the features of methodologies that can support the design of public accesssystems are identified. After an initial exploration of the systems lifecycle, which identifies the key stages in any methodology, the paper proceeds to examine the nature and role of information systems methodologies. A variety of user-centred methodologies are described, including soft systems methodologies, cooperative and participative methodologies, and task-oriented approaches to design. An object-oriented methodology is introduced as a preliminary to the consideration of methodologies for multimedia graphical user interfaces. Comparisons between the stages in some of these methodologies yield an identification of key features for methodologies in the development of public accesssystems. Such methodologies must accommodate: (i) the creation and structuring of conceptual content and (ii) the interface with the marketplace, in addition to the technical and behavioural considerations that feature in the more established user-centred methodologies.
When a group {I1,..., I-n} of individuals wishes to collaboratively construct a complex multimedia document, the first requirement is that they be able to manipulate media-objects created by one another. For instance,...
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When a group {I1,..., I-n} of individuals wishes to collaboratively construct a complex multimedia document, the first requirement is that they be able to manipulate media-objects created by one another. For instance, ii individual I-j wishes to access some media objects present at participant I-k'S site, he must be able to: 1) retrieve this object from across the network, 2) ensure that the object is in a form that is compatible with the viewing/editing resources he has available at his node, and 3) ensure that the object has the desired quality (such as image size and resolution). Furthermore, he must be able to achieve these goals at the lowest possible cost. In this paper, we develop a theory of media objects, and present optimal algorithms for collaborative object sharing/synthesis of the sort envisaged above. We then extend the algorithms to incorporate quality constraints (such as image size) as well as distribution across multiple nodes. The theoretical model is validated by an experimental implementation that supports the theoretical results.
The proceedings contains 61 papers from the SPIE International Society for Optical Engineering Journal on Electronic Imaging and multimediasystemsii. Topics discussed include: image retrievals;gray image recognition...
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The proceedings contains 61 papers from the SPIE International Society for Optical Engineering Journal on Electronic Imaging and multimediasystemsii. Topics discussed include: image retrievals;gray image recognition;content-based image retrieval;color pattern selections;video segmentations;declarative video data retrieval languages;network databases;fast spatial transformations;moving object segmentation methods;anisotropic segmentations;video segmentation algorithms;wavelet-derived gradient computations;dual-band imaging systems;genetic algorithms;thermal image compression systems;multimedia-on-demand services;personal digital assistant (PDA) systems;and real-time nonlinear video authoring systems.
The proceedings contains 61 papers from the SPIE International Society for Optical Engineering Journal on Electronic Imaging and multimediasystemsii. Topics discussed include: image retrievals;gray image recognition...
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The proceedings contains 61 papers from the SPIE International Society for Optical Engineering Journal on Electronic Imaging and multimediasystemsii. Topics discussed include: image retrievals;gray image recognition;content-based image retrieval;color pattern selections;video segmentations;declarative video data retrieval languages;network databases;fast spatial transformations;moving object segmentation methods;anisotropic segmentations;video segmentation algorithms;wavelet-derived gradient computations;dual-band imaging systems;genetic algorithms;thermal image compression systems;multimedia-on-demand services;personal digital assistant (PDA) systems;and real-time nonlinear video authoring systems.
The access of high bandwidth multimedia data is generally limited to the network due to the limited network resources, inefficient indexing mechanism and less of semantic interpretations. Currently, most content-based...
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The access of high bandwidth multimedia data is generally limited to the network due to the limited network resources, inefficient indexing mechanism and less of semantic interpretations. Currently, most content-based video content representation involves the segmentation and indexing of video based on scene change and camera/object motion, and such research generally performs off-line video processing. Little research has been done on on-line video processing, which is crucial in video communication applications such as video conferencing, video multicasting and on-line video browsing and retrieval. Our research investigates real-time content-based processing of multicast video over the Internet. New on-line video feature extraction schemes, such as scene change detection, on-line key frame classification, are considered to meet the requirement of real-time video multicasting filtering based on user's profile over the Internet. The annotation and features extracted from multicasted videoconference bitstream by the on-line video content analysis proxies, which are using the proposed video processing algorithms, are output to a separate metadata channel for the further assistance of semantic multicasting of video content. The performance of the proposed algorithms is also demonstrated in the paper.
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