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检索条件"任意字段=Multimedia Content Access: Algorithms and Systems"

共 204 条记录，以下是111-120 订阅

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A hybrid metaheuristic approach to optimize the content transmission in multimedia systems 11

A hybrid metaheuristic approach to optimize the content tran...

引用

11th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2014

作者： Gómez, Arthur T. Nesi, Luan C. Martins, Marcio G. Chiwiacowsky, Leonardo D. Master Program on Applied Computing University of the Sinos Valley Av. Unisinos 950 São Leopoldo/RS Brazil

ISBN: (纸本)9789897580390

The advent of the digital television in Brazil has allowed users to access interactive channels. Once interactive channels are available, the users are able to find multimedia content such as movies and breaking news programs, to send and/or receive emails, to access interactive applications and also other contents. In this context, a high demand of requests from users is expected. Therefore, from the content provider's point of view, the determination of transmission parameters is needed in order to ensure the best quality of transmission to every user. The aforementioned identification problem is modelled as an optimization problem and a solution procedure based on metaheuristic techniques is proposed. Genetic Algorithm and Tabu Search metaheuristics are employed separately and coupled in a hybrid scheme to define the best transmission policy, optimizing the transmission parameters, such as audio and video transmission rates. Based on the experimental results, the hybrid algorithm has produced better solutions which meet the quality requirements.

关键词： Genetic algorithms

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A model to support sign language content development for digital television

A model to support sign language content development for dig...

引用

2009 IEEE International Workshop on multimedia Signal Processing, MMSP '09

作者： De Brito, Ronnie Fagundes Pereira, Alice T. Cybis Departamento de Engenharia e Gestão do Conhecimento Universidade Federal de Santa Catarina Florianópolis Brazil

ISBN: (纸本)9781424444649

This paper proposes a model to support sign language content development and deployment in digital television scenarios. The model objective is to overcome traditional video limitations on the production of signed content and improve accessibility on digital television. Previous work on sign and gesture recognition, sign notation systems and avatar animation are reviewed. Sign communication requirements are investigated and adequate algorithms are identified to enable sign language processing and transmission. An application interface is proposed in order to access the model functionalities. The final discussion lists the benefits and limitations of the proposed model. © 2009 IEEE.

关键词： Digital television

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content-based Retrieval in multimedia Databases Based on Feature Models

Content-based Retrieval in Multimedia Databases Based on Fea...

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作者： ApersP.M.G. KerstenM.L. University of British Columbia

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 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.

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Intelligent systems for Video Analysis and access Over the Internet

引用

2002年

作者： Wensheng Zhou C C Jay Kuo

ISBN: (纸本)9780130471178

From the Book: PREFACE The explosion of on-line web information has given rise to many query-based textsearch engines (such as Alta Vista) and manually constructed topic hierarchies (suchas Yahoo!). With the current growth rate of web information, especially broadbandmultimedia data, query data are growing incomprehensibly large and manual classification in topic hierarchies is creating a major bottleneck. Consequently, the hugeamount of multimedia data is imposing on people a heavy burden of manipulating, searching, interpreting, skimming, and integrating information. Thus, efficientmultimedia content analysis tools are needed to address these user's needs. This book presents a solution to problems arising from the demand for fastinformation access and for sharing in real-time multimedia transmission over theInternet. We present in this book a solution which exploits software agents thatare placed throughout the network environment. These hierarchical video analysisagents process multimedia streams in real time, and automatically decompose andunderstand the multimedia content so as to facilitate information access and sharing. multimedia content contains both the perceptual content such as color, motion,or acoustic features and the conceptual content, which is specified based on conceptsor semantics that can be expressed by text descriptions. Both types of contents areembedded simultaneously in multimedia streams, and usually are complementaryto each other. This book adaptively analyzes both kinds of video contents bycombining mixed media cues from audio, video and text. First, a high-performance module for on-line video segmentation based on scene-change detection isdescribed. The module serves as the first step of any videostream construction and analysis. To meet the high computational demand, ourproposed video scene change detection algorithms are very efficient while maintaining high accuracy and recall rates for fast on-line video analysis. Second, the percep

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Scalable Coding of 360-degree Video for Streaming Adaptation at 5G Network Edges 15

Scalable Coding of 360-degree Video for Streaming Adaptation...

引用

15th IEEE International Symposium on Broadband multimedia systems and Broadcasting (BMSB)

作者： Carreira, J. de Faria, Sergio M. M. Tavora, Luis M. N. Navarro, Antonio Assuncao, Pedro A. A. Inst Telecomunicacoes Lisbon Portugal Polytech Leiria ESTG Leiria Portugal Univ Aveiro Aveiro Portugal

ISBN: (纸本)9781728157849

YY The huge amount of data that is necessary to capture the full field-of-view (FoV) in omnidirectional video, i.e., 360 degrees, imposes the use of highly efficient compressed formats as well as adaptive broadcast and streaming mechanisms, such as those foreseen for 5G networks. To cope with the demanding requirements of 360 degrees video streaming over 5G networks, this work proposes a scalable 360 degrees video coding architecture, by enabling adaptation through the Multi-access Edge Computing (MEC) server in two different domains of the spherical visual content, namely spatial resolution and FoV. In the proposed architecture two-layers are encoded from the input 360 degrees video content: (i) the base-layer (BL), encoding each 360 degrees image as a whole, at a lower spatial resolution;(ii) the enhancement-layer (EL) encoding each spherical image as a set of multiple FoVs with higher spatial resolution. Such arrangement enables flexible stream adaptation for the smart decision algorithms to be implemented at the MEC server, enabling significant reduction of the overall bit rate through the radio interface. The simulation results show that the proposed scalable coding scheme allows a great deal of bit rate savings across the 5G network, achieving 36% of bit rate saving, on average, for a 90 degrees FoV in comparison with conventional single-layer coding.

关键词： Scalable video coding & content adaptation Future broadcasting services

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Information access in multimedia databases based on feature models

Information access in multimedia databases based on feature ...

引用

作者： VriesA.P. WindhouwerM.A. ApersP.M.G. KerstenM.L. University of British Columbia

学位级别：New Generation Computing

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.

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content-based retrieval for image databases.

Content-based retrieval for image databases.

引用

作者： Li, Fang. DalTech - Dalhousie University

学位级别：Master

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.

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Proceedings - IEEE Workshop on content-Based access of Image and Video Libraries, CBAIVL 1997

Proceedings - IEEE Workshop on Content-Based Access of Image...

引用

1997 IEEE Workshop on content-Based access of Image and Video Libraries, CBAIVL 1997

ISBN: (纸本)0818679832

The proceedings contain 12 papers. The topics discussed include: ImageRover: a content-based image browser for the world wide web;distinguishing photographs and graphics on the world wide web;locating deciduous trees;increasing retrieval efficiency by index tree adaptation;models and algorithms for efficient color image indexing;region-based image querying;efficient content extraction in compressed images;a Bayesian video modeling framework for shot segmentation and content characterization;retrieving images by similarity of visual appearance;retrieving images by similarity of visual appearance;a relevance feedback architecture for content-based multimedia information retrieval systems;and training templates for scene classification using a few examples.

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content-based retrieval for image databases

Content-based retrieval for image databases

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作者： Li, Fang Dalhousie University

学位级别：硕士

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.

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Framework for adaptive content delivery in heterogeneous network environments

Framework for adaptive content delivery in heterogeneous net...

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multimedia Computing and Networking 2000

作者： Ma, Wei-Ying Bedner, Ilia Chang, Grace Kuchinsky, Allan Zhang, HongJiang Hewlett-Packard Lab Palo Alto United States

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 content accessibility 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.

关键词： World Wide Web

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