With the increasing popularity of the WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. access to multimedia objects in databases has long been limited to the inform...
With the increasing popularity of the WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. access to multimedia objects in databases has long been limited to the information provided in manually assigned keywords. Now, with the integration of feature-detection algorithms in database systems software, content-based retrieval can be fully integrated with query processing. We describe our experimentation platform under development, making database technology available to multimedia. Our approach is based on the new notion of feature databases. Its architecture fully integrates traditional query processing and content-based retrieval techniques.
The explosive growth of the Internet has come with increasing diversity and heterogeneity in terms of client device capability, network bandwidth, and user preferences. To date, most Web content has been designed with...
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The explosive growth of the Internet has come with increasing diversity and heterogeneity in terms of client device capability, network bandwidth, and user preferences. To date, most Web content has been designed with desktop computers in mind, and often contains rich media such as images, audio, and video. In many cases, this content is not suitable for devices like netTVs, handheld computers, personal digital assistants, and smart phones with relatively limited display capability, storage, processing power, and network access. Thus, Internet access is still constrained on these devices and there is a need to develop alternative approaches for information delivery. In this paper, we propose a framework for adaptive content delivery in heterogeneous environments. The goal is to improve contentaccessibility and perceived quality of service for information access under changing network and viewer conditions. The framework includes content adaptation algorithms, client capability and network bandwidth discovery methods, and a Decision Engine for determining when and how to adapt content. We describe this framework, initial system implementations based upon this framework, and the issues associated with the deployment of such systems based on different architectures.
Current multimedia databases contain a wealth of information in the form of audiovisual, as well as text data. Even though efficient search algorithms have been developed for either media, there still exists the need ...
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Dynamic replication algorithms aim at allocating, migrating and deleting copies of an object over various Internet hosts, according to the access patterns exhibited on-line, so as to improve object proximity for the e...
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Dynamic replication algorithms aim at allocating, migrating and deleting copies of an object over various Internet hosts, according to the access patterns exhibited on-line, so as to improve object proximity for the end-users and/or load-balance the servers. Most of the existing algorithms try to disseminate the objects of an entire Internet Service Provider (ISP), without taking into account the needs and characteristics of specific web sites with large commercial value. In this paper we tackle the replication problem in an Internet environment, inspired by the need of news agencies and other information providers to include in their pages multimediacontent without incurring high access delays. We consider an environment that consists of a central multimedia repository and various physically dispersed sites. We propose a cost model to formalize the replication of multimedia objects located at the repository which can result in decreasing the download time. Taking into account implementation issues, such as the storage and processing capacity constraints, the proposed replication policy is evaluated and compared with alternatives including an ideal LRU caching scheme. Qualitative comparisons with the other replication schemes are reported as well.
Collaborative filtering is an important technology for creating user-adapting Web sites. In general the efforts of improving filtering algorithms and using the predictions for the presentation of filtered objects are ...
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Collaborative filtering is an important technology for creating user-adapting Web sites. In general the efforts of improving filtering algorithms and using the predictions for the presentation of filtered objects are decoupled. Therefore, common measures (or metrics) for evaluating collaborative filtering (recommender) systems focus mainly on the prediction algorithm. It is hard to relate the classic measurements to actual user satisfaction because of the way the user interacts with the recommendations, determined by their representation, influences the benefits for the user. We propose an abstract access paradigm, which can be applied to the design of filtering systems, and at the same time formalizes the access to filtering results via multi-corridors (based on content-based categories). This leads to new measures which better relate to the user satisfaction. We use these measures to evaluate the use of various kinds of multi-corridors for our prototype user-adapting Web site, the Active WebMuseum.
Collecting, analyzing, and sharing information via a hypertext results in the continuous modification of information content over a long period of time. Such tasks will benefit from users having access to this authori...
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Collecting, analyzing, and sharing information via a hypertext results in the continuous modification of information content over a long period of time. Such tasks will benefit from users having access to this authoring process. The Visual Knowledge Builder (VKB), a spatial hypertext system designed to support collaborative knowledge building, includes navigable history to provide readers a view of the writer's time. VKB acts as a workspace for collecting, organizing, and interpreting information in a hierarchy of two-dimensional planes. During authoring, VKB records events in the hypertext's history and provides methods to access prior states of the hypertext. The reader may play forward or backward through the authoring process as well as search for a variety of authoring events on information objects. Users receive cues about the absolute and relative timelines of the information space through the presentation of information about specific events and their sequence. Examples of VKB's use include note taking, writing, organizing conferences, and sharing information in a research group. Analysis of VKB workspaces in these contexts indicates navigable history supports 1) learning and interpreting authors' work practices, 2) recognizing patterns of activity in the information space, and 3) disambiguating specific actions and content. Hypertexts that include an authoring history add a notion of constructive time for their readers.
With the increasing popularity of WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. Until now access of multimedia objects in databases was done by means of keywords...
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ISBN:
(纸本)3540657622
With the increasing popularity of WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. Until now access of multimedia objects in databases was done by means of keywords. Now, with the integration of feature-detection algorithms in database systems software, content-based retrieval can be fully integrated with query processing. In this invited paper, we describe our experimentation platform under development that fully integrates traditional query processing and content-based retrieval and that is based on feature databases, making database technology available to multimedia.
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.
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.
This 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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This 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 this 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 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.
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