The inherent broadcast capabilities of satellites make them an attractive solution for the delivery of multimedia services to mobile users in third generation (3G) networks. Reliable delivery of content over a hostile...
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The inherent broadcast capabilities of satellites make them an attractive solution for the delivery of multimedia services to mobile users in third generation (3G) networks. Reliable delivery of content over a hostile land-mobile satellite channel is one of the key technical system requirements that can be addressed at different protocol layers. In this paper, we focus our attention on some of the mechanisms which can provide partial reliability: the packet-level forward error correction (PLFEC) technique in radio access network (RAN), different interleaving depths at physical layer (inter frame) and power allocation in the satellite radio interface. We rely on an end-to-end simulation platform in order to assess the performance gain achieved by these mechanisms separately, and provide clear indications for the achievable benefits at system level when some of these mechanisms act in co-ordination rather than in isolation. Copyright (c) 2006 John Wiley & Sons, Ltd.
This paper presents a study on a global replication architecture intended to autonomic content exchange between communities of active nodes. The main objective is to exploit and reuse the synergy of groups to optimize...
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This paper presents a method for spotting key-text in videos, based on a cascade of classifiers trained with Adaboost. The video is first reduced to a set of key-frames. Each key-frame is then analyzed for its text co...
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ISBN:
(纸本)0819461040
This paper presents a method for spotting key-text in videos, based on a cascade of classifiers trained with Adaboost. The video is first reduced to a set of key-frames. Each key-frame is then analyzed for its text content. Text spotting is performed by scanning the image with a variable-size window (to account for scale) within which simple features (mean/variance of grayscale values and x/y derivatives) are extracted in various sub-areas. Training builds classifiers using the most discriminant spatial combinations of features for text detection. The text-spotting module outputs a decision map of the size of the input key-frame showing regions of interest that may contain text suitable for recognition by an OCR system. Performance is measured against a dataset of 147 key-frames extracted from 22 documentary films of the National Film Board (NFB) of Canada. A detection rate of 97% is obtained with relatively few false alarms.
We present a case study in which sequence mining algorithms were applied to web access log data. The data are from a portal that is targeted for business users. In this portal, like in many others, content is describe...
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We present a case study in which sequence mining algorithms were applied to web access log data. The data are from a portal that is targeted for business users. In this portal, like in many others, content is described using a set of descriptors, such as keywords, category and type. We investigate whether representing content by the type rather than its identifier enables existing sequence mining methods to obtain interesting patterns. Rather than a more traditional approach based on measures such as support and confidence, we analyze results from an application perspective. This enables us to identify opportunities for improving and extending these methods.
aAQUA is an online multilingual, multimedia Agricultural portal for disseminating information from and to the grassroots of the Indian agricultural community. aAQUA simultaneously addresses two major challenges in far...
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ISBN:
(纸本)9781424404841
aAQUA is an online multilingual, multimedia Agricultural portal for disseminating information from and to the grassroots of the Indian agricultural community. aAQUA simultaneously addresses two major challenges in farmer outreach programs - geographic reach and customized delivery. It answers farmers queries based on the location, season, crop and other information provided by farmers. aAQUA makes use of novel database systems and information retrieval techniques like intelligent caching, offline access with intermittent synchronization, semantic-based search, etc. Agricultural content repositories (Digital Library), Agri-price information (Bhav Puchiye), farmer schemes and various operations support databases (aAQUA-QoS) have also emerged from the experience of aAQUA deployments. aAQUA's large scale deployment provides avenues for researchers to contribute in the areas of knowledge management, cross- lingual information retrieval, and providing accessible content for rural populations. Apart from Agriculture, aAQUA can be configured and customized for Expert advice over mobile networks and the internet in Education, Healthcare and other domains of interest to a developing population. This paper will showcase the utility of various component databases built into aAQUA to enhance the QoS delivered to rural populations.
Recently, issues on the internet searching of image information through various multimedia databases have drawn a tremendous attention and several researches on image information retrieval methods are on progress. By ...
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ISBN:
(纸本)3540465359
Recently, issues on the internet searching of image information through various multimedia databases have drawn a tremendous attention and several researches on image information retrieval methods are on progress. By incorporating wavelet transform and correlation metrics, we propose a novel and highly efficient feature vector extraction algorithm that has a capability of a robust similarity matching. Through a number of simulations using thousands of images as a database, our presented method has been tested and verified. The simulation results have yielded a faster and highly accurate candidate image retrieval performance in comparison to those of the conventional algorithms. Such an improved performance can be obtained because the used feature vectors were compressed to 256:1 while the correlation metrics are incorporated to provide a finer information for the better matching.
Intelligent information accesssystems integrate text mining and content analysis capabilities as a relevant element in an increasing way. In this paper we present our work focused on the integration of text categoriz...
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ISBN:
(纸本)3540446362
Intelligent information accesssystems integrate text mining and content analysis capabilities as a relevant element in an increasing way. In this paper we present our work focused on the integration of text categorization and summarization to improve information access on a specific medical domain, patient clinical records and related scientific documentation, in the framework of two different research projects: SINAMED and ISIS, developed by a consortium of two research groups from two universities, one hospital and one software development firm. SINAMED has a basic research orientation and its goal is to design new text categorization and summarization algorithms based on the utilization of lexical resources in the biomedical domain. ISIS is a R&D project with a more applied and technology-transfer orientation, focused on more direct practical aspects of the utilization in a concrete public health institution.
The proceedings contain 146 papers. The topics discussed include: using web knowledge to improve the wrapping of web sources;ontology-based information tailoring;the eNTERFACE'05 audio-visual emotion database;spee...
ISBN:
(纸本)0769525717
The proceedings contain 146 papers. The topics discussed include: using web knowledge to improve the wrapping of web sources;ontology-based information tailoring;the eNTERFACE'05 audio-visual emotion database;speeding up color-based retrieval in multimedia database management systems that store images as sequences of editing operations;experience of animate similarity concepts in multimedia database;clustering multidimensional trajectories based on shape and velocity;approximate video search based on spatio-temporal information of video objects;a node split algorithm reducing overlapped index spaces in M-Tree index scheme for music information retrieval system;strategic properties of peer-to-peer data structures and behaviour of human peers in economic experiments;trust negotiation as an authorization service for web services;scalable and efficient data streaming algorithms for detecting common content in internet traffic;estimating top n hosts in cardinality using small memory resources;a new approach for information processing in wireless sensor network database applications;and a multiple-perspective, interactive approach to web information extraction and exploration.
Traditional resource allocation algorithms such as Q-RAM [11] assume that importance (or weight) or utility values for distributed real-time tasks is a totally ordered set to measure the rewards for completing every t...
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The inherent broadcast capabilities of satellites make them an attractive solution for the delivery of multimedia services to mobile users in third generation (3G) networks. Reliable delivery of content over a hostile...
详细信息
The inherent broadcast capabilities of satellites make them an attractive solution for the delivery of multimedia services to mobile users in third generation (3G) networks. Reliable delivery of content over a hostile land-mobile satellite channel is one of the key technical system requirements that can be addressed at different protocol layers. In this paper, we focus our attention on some of the mechanisms which can provide partial reliability: the packet-level forward error correction (PLFEC) technique in radio access network (RAN), different interleaving depths at physical layer (inter frame) and power allocation in the satellite radio interface. We rely on an end-to-end simulation platform in order to assess the performance gain achieved by these mechanisms separately, and provide clear indications for the achievable benefits at system level when some of these mechanisms act in co-ordination rather than in isolation. Copyright (c) 2006 John Wiley & Sons, Ltd.
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