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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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Advanced Rate Adaptation Algorithm in Video Streaming Over HTTP 4

Advanced Rate Adaptation Algorithm in Video Streaming Over H...

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4th IEEE International Conference on Consumer Electronics Berlin (ICCE-Berlin)

作者： Kovacevic, Jelena Miljkovic, Goran Mihic, Velibor Lazic, Krsto Fac Tech Sci Dept Comp Engn & Commun Novi Sad Serbia RT RK Comp Based Syst Novi Sad Serbia

ISBN: (纸本)9781479961658

In order to guarantee the best user experience throughout different network access technologies with dynamically varying network conditions, it is fundamental to enable proper reception of the multimedia content. To overcome the limitations/deficiencies of evaluated adaptive streaming algorithms (such as slow rate adaptation at stable network conditions), we propose an Advanced Rate Adaptation algorithm (ARA, in the following text) and test it under various network scenarios. The algorithm is implemented as a part of the MPEG DASH compliant client.

关键词： IP networks hypermedia transport protocols video streaming MPEG DASH compliant client advanced rate adaptation algorithm dynamic adaptive streaming over HTTP dynamically varying network multimedia content Adaptive systems Bandwidth Bit rate Delays Heuristic algorithms History Streaming media

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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...

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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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Automatic methods for content -based access and summarization of video sequences

Automatic methods for content -based access and summarizatio...

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作者： Taskiran, Cuneyt Murat Purdue University

学位级别：Ph.D.

Depending on the specific information they are seeking, users desire flexible and intuitive methods to search and browse multimedia libraries. However, the cost of manually extracting the metadata to support such functionalities may be unrealistically high. Therefore, over the last decade there has been a great interest in designing and building systems that automatically analyze and index multimedia data, and retrieve its relevant parts. In this work we describe algorithms that facilitate browsing, searching, and summarization of video sequences. We propose shot transition detection algorithms for the detection of cut and dissolve types of shot transitions based on a binary tree regression classifiers framework. Our system is able to detect these transitions with high accuracy. We discuss stochastic models to model video program genres, such as news programs or sitcoms, and show how these can be applied to automatically detect the genre of a given program. We investigate the use of hidden Markov Models (HMMs) and stochastic context-free grammars (SCFGs) for modeling. Since the computational complexity of SCFG training is high, we develop a hybrid HMM-SCFG model that reduces the training time of the models considerably. Deriving compact representations of video sequences that are intuitive for users and let them easily and quickly browse large collections of video data is fast becoming one of the most important topics in content-based video processing. Such representations, which we will collectively refer to as video summaries, rapidly provide the user with information about the content of the particular sequence being examined, while preserving the essential message. We propose an automated method to generate video skims for information-rich video programs, such as documentaries, educational videos, and presentations, using statistical analysis based on speech transcripts that are obtained by automatic speech recognition (ASR) from the audio. Ideally one would lik

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content-based retrieval for image databases.

Content-based retrieval for image databases.

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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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RL-Belady: A Unified Learning Framework for content Caching 20

RL-Belady: A Unified Learning Framework for Content Caching

引用

28th ACM International Conference on multimedia (MM)

作者： Yan, Gang Li, Jian SUNY Binghamton Binghamton NY 13902 USA

ISBN: (纸本)9781450379885

content streaming is the dominant application in today's Internet, which is typically distributed via content delivery networks (CDNs). CDNs usually use caching as a means to reduce user access latency so as to enable faster content downloads. Typical analysis of caching systems either focuses on content admission, which decides whether to cache a content, or content eviction to decide which content to evict when the cache is full. This paper instead proposes a novel framework that can simultaneously learn both content admission and content eviction for caching in CDNs. To attain this goal, we first put forward a lightweight architecture for content next request time prediction. We then leverage reinforcement learning (RL) along with the prediction to learn the time-varying content popularities for content admission, and develop a simple threshold-based model for content eviction. We call this new algorithm RL-Belady (RLB). In addition, we address several key challenges to design learning-based caching algorithms, including how to guarantee lightweight training and prediction with both content eviction and admission in consideration, limit memory overhead, reduce randomness and improve robustness in RL stochastic optimization. Our evaluation results using 3 production CDN datasets show that RLB can consistently outperform state-of-the-art methods with dramatically reduced running time and modest overhead.

关键词： Cache Admission Cache Eviction content Delivery Networks Machine Learning Belady

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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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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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Intelligent systems for Video Analysis and access Over the Internet

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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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Effective access to Large Audiovisual Assets Based on User Preferences 00

Effective Access to Large Audiovisual Assets Based on User P...

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2000 ACM Workshops on multimedia, multimedia 2000

作者： Ioannou, S. Moschovitis, G. Ntalianis, K. Karpouzis, K. Kollias, S. Image Video and Multimedia Laboratory Electrical and Computer Engineering Department National Technical University of Athens Heroon Polytechniou 9 Athens157 80 Greece

ISBN: (纸本)9781581133110

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 for abstract presentation and summarization of the results of database users' queries. Moreover, multimedia retrieval systems should be capable of providing the user with additional information related to the specific subject of the query, as well as suggest other topics which users with a similar profile are interested in. In this paper, we present a number of solutions to these issues, giving as an example an integrated architecture we have developed, along with notions that support efficient and secure Internet access and easy addition of new material. Segmentation of the video in shots is followed by shot classification in a number of predetermined categories. Generation of users' profiles according to the same categories, enhanced by relevance feedback, permits an efficient presentation of the retrieved video shots or characteristic frames in terms of the user interest in them. Moreover, this clustering scheme assists the notion of "lateral" links that enable the user to continue retrieval with data of similar nature or content to those already returned. Furthermore, user groups are formed and modeled by registering actual preferences and practices;this enables the system to "predict" information that is possibly relevant to specific users and present it along with the returned results. The concepts utilized in this system can be smoothly integrated in MPEG-7 compatible multimedia database systems. Copyright © ACM 2000.

关键词： Abstracting

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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...

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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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