城市局域化的数字电视

多媒体网络应用和互动电视是上海市的重点科技攻关项目。在2002年8月,上海电信与闸北区政府签订了推进闸北区多媒体网络建设合作协议,并铺设了直通多媒体谷的电视节目传输光缆。2004年6月,合作三方签署“上海互动电视”试运营合作协议,开始在闸北区用户试验。2005年年底,上海电信北区局已经在闸北区完成了3万户电话线路改造,绿色家园、东方明珠公寓、宁泰新苑、歌林春天等45个小区,已经具备了开通高质量互动电视的条件。2006年1月,上海大宁多媒体谷宽带网络发展有限公司和上海杨浦区信息化委员会签署互动电视示范项目合作协议。2006年1月26…     

一个面向智能电视高质量网络多媒体应用的多媒体软件平台

智能电视存在高质量的网络多媒体应用多、计算资源少、更新周期长以及硬件平台多样化等问题。针对这些问题,提出一个面向智能电视高质量网络多媒体应用的多媒体软件平台(STVMP)。STVMP可以与嵌入式Linux内核整合形成面向智能电视的操作系统,利用硬件ASIC平台支持多样化的网络多媒体应用,同时保证服务质量。实验证明该平台支持例如IPTV、VOD和数据广播等目前主流的网络多媒体应用,跨平台性强,计算资源使用较少。     

影视点播系统VOD

VOD是Video On Demand的简称,意思是按用户要求播放视频信号。用户坐在自己家里,无需录像带和LD、VCD盘,就可以通过电视机随时点播自己喜欢观看的节目。它彻底改变了传统电视系统的单向信息传播方式,是一个按用户要求提供诸如活动图象、音频、文字、数据等多媒体信息检索服务的交互式电视系统。     

ATM上的拨号会议电视

ＡＴＭ上的拨号会议电视●常晓东随着通讯网络的逐步扩展，用户对多媒体视频会议的需求越来越强烈，主要包括远程医疗会诊、远程教学、工程研讨、政府办公和商务会谈等各个方面，在这些应用中，用户要求各站点可以方便地与其他多个站点建立连接。在目前典型的会议电视方案...     

云电视,井喷开始前的躁动

<正>近日,联想发布了首款智能电视产品,该产品采用Android 4.0操作系统并具有语音指令识别功能。此前市场一直传闻苹果计划推出自己的智能电视产品,而联想却在此方面率先发布产品。使用该产品,用户可对着遥控器发出指令,如接入支持Android 4.0系统的大量电视应用,或接入联想云服务下载新的升级应用,还可以访问个人多媒体内容或进行社交网络互动。     

IPTV业务发展趋势分析

IPTV又称为互动电视、宽带电视或网络电视，是指以电视机和机顶盒为客户终端。通过宽带网络为用户提供的交互式多媒体服务，包括通信、视频内容、互联网应用等。1999年英国Video Networks公司率先在全球推出IPTV业务，近年来境外宽带接人商纷纷推出IPTV业务。我国的IPTV市场也正在起步。     

基于B／S模式的互动数字电视综合业务平台的设计与实现

互动数字电视综合业务平台系统采用通用的B/S模式,用当今流行的Java作为主要的编程语言,建立了互动电视系统综合业务支撑平台,它与内置CM一体化机顶盒互相兼容,可与数字电视互动。系统实现了VOD互动点播,多媒体资讯服务,多媒体存储管理,广告发布管理等功能。文章介绍了系统中两个主要的子系统:综合配置管理系统和多媒体服务管理系统的设计技术。该系统为运营商提供了高性价比、高稳定性和高可靠性的互动电视及增值业务的解决办法。     

数字化民俗博物馆建设中数据存储方案研究

在数字博物馆的建设中,存在大量的图片、视频、声音、大文本或大二进制文件、3D图像、声音解说、电影录像等多媒体数据和大量的展品信息数据。为方便对这些数据进行存储、管理、检索等,并使用户方便快捷地浏览到博物馆中信息,本文对博物馆中大量的数据信息的存储方案进行了研究,并对不同存储方案进行了测试比较,根据数字博物馆中各种多媒体数据特点的不同,分别采用了不同的存储方案。     

互动电视：一种点对点的媒体

互动电视用户只需要使用遥控器上的几个简单按键,就可以很方便地和互动电视运营平台实现互动,选择自己要看的电视节目。     

专管海量数据——ADIC推出StorNext Management存储软件方案

对于广播、电视、政府、军队、科研、石油勘探等拥有大数据量、多媒体信息的用户来说,他们面临的最大挑战就是如何有效存储、保护、管理和利用这些飞速增长的数据。在国内一直以磁带库为主打产品的ADIC(美国先进数字信息公司)借助在磁带库管理方面的专长逐渐介入存储管理领域,并于近期推出了专为SAN环境下存储和管理海量多媒体数据文件的解决方案——     

Mobile IPTV: Approaches, Challenges, Standards, and QoS Support

IPTV is defined as multimedia services, such as TV, video, audio, text, graphics, and data, delivered over IP-based networks managed to support quality of service (QoS), quality of experience, security, interactivity, and reliability. Mobile IPTV extends those services to mobile networks. The authors discuss mobile IPTV standardization's status, related approaches in the field, and technical challenges to enhancing mobile IPTV services. Given the critical role of QoS in the technology's widespread adoption, the authors also propose an efficient signaling scheme to support QoS for seamless mobile IPTV services.     

一种可支持多种多媒体业务的基于IMS的IPTV架构

IP多媒体子系统用于实现端到端的IP多媒体通信,具有接入无关性、对各种接入技术广适性的特点,因此,下一代网络采用IP多媒体子系统作为核心架构.提出一个基于IP多媒体子系统的IP电视架构,在IP多媒体子系统核心模块的基础上,以一组互相独立的基于会话初始化协议的功能模块构成应用服务器,并设计了能够支持和提供不同IM S业务的客户端与内容提供商端,使该IPTV框架可以在下一代网络上支持基于IP多媒体子系统的包括IPTV业务在内的多种多媒体业务.     

IPTV architecture for an IMS environment with dynamic QoS adaptation

This paper describes the development, implementation and evaluation of a SIP based IPTV architecture with a new dynamic QoS adaptation method and signaling structure. The implemented QoS adaptation method allows dynamic updates of session parameters, maximizing the QoE and turning the solution suitable for live multimedia streaming, independently of the cast mode (unicast or multicast). The new SIP signaling structure, for session and media control, was developed following an All-SIP approach and a hybrid SIP+RTSP approach, both suited for an IMS environment, in order to compare the system behavior and performance using either approach. The details of both the IPTV Application Server and the IPTV Client prototypical implementations are described, as well as the results of field tests carried out across different Fixed and Mobile access networks for each of the signaling structures. The proposed IPTV architecture revealed to be suitable for scalable converged networks, due to its flexible multimedia delivery of personalized streams over a variety of network infrastructures, namely, Mobile radio networks.     

Zebroid: using IPTV data to support STB-assisted VoD content delivery

IPTV, unlike Internet TV, delivers digital TV and multimedia services over IP-based networks with the required level of quality of service (QoS) and quality of experience (QoE). Linear programming channels in IPTV are delivered through multicast, which is highly scalable with the number of subscribers. Video-on-demand (VoD) content, on the other hand, is typically delivered using unicast, which places a heavy load on the VoD servers and all the network components leading to the end-user set-top boxes (STBs) as the demand increases. With the rapid growth of IPTV subscribers and the shift in video viewing habits, the need to efficiently disseminate large volumes of VoD content has prompted IPTV service providers to consider the use of STBs to assist in video content delivery. This paper describes our current research work on Zebroid, a potential VoD solution for fiber-to-the-node (FTTN) networks, which uses IPTV data on a recurring basis to determine how to select, stripe, and preposition popular content in selected STBs during idle hours. A STB requesting VoD content during the peak hours can then receive necessary stripes from participating STBs in the neighborhood. Recent VoD request access patterns, STB availability data, and capacity data on network components are taken into consideration in determining the parameters used in the striping algorithm of Zebroid. We show both by simulation and emulation on a realistic IPTV testbed that the VoD server load can be reduced by more than 70% during peak hours by allocating only 8 GB of storage on each STB. The savings achieved through Zebroid would also allow IPTV service providers to add more linear programming channels without expensive infrastructure upgrades.     

Adaptive IPTV services based on a novel IP Multimedia Subsystem

Heterogeneous communication devices are emerging and changing the way of communication. Innovative multimedia applications are now accessible through these embedded systems. The 3GPP IP Multimedia Subsystem (IMS) provides a basic architecture framework for the Next Generation Network (NGN) supporting the convergence platform for service provisioning in heterogeneous networks. ETSI TISPAN standardization effort focuses on delivering IPTV services on such platform. Nevertheless, IPTV on IMS standardization suffers from a lack of efficient user-centric network management mechanisms as the end-user may consume IPTV service from different access networks, on different mobile devices, at anytime. User’s Perceived Quality of Service (PQoS) or Quality of Experience (QoE) of IPTV service may also suffer from wireless access network impairments. This paper introduces new functionalities in IPTV over IMS architecture which optimize satisfaction of the end-user and resource utilization of the operator’s networks. A context-sensitive User Profile (UP) model is used to deliver IPTV streams adapted to the user’s environment. In order to optimize the operator network usage, the impact of spatiotemporal dynamics of the video content on the deduced perceptual quality is considered. A Multimedia Content Management System (MCMS) is proposed to perform dynamic cross-layer adaptation of the IPTV stream based on PQoS measurements at the end-user side.     

基于P2P的IPTV技术应用综述

随着网络带宽的改善,基于流媒体直播的多媒体服务受到了越来越多的关注,IPTV(Internet Protocol Television)成为了其中的热门话题.P2P技术的出现,使得基于P2P模式的IPTV系统得到了广泛应用.对基于P2P的IPTV系统的相关研究成果和技术特点进行了分析总结,并指出了该技术目前所面临的难点和相关的解决途径.     

IPTV业务质量指标研究

随着电信多媒体业务的快速发展,交互式电视（IPTV）为代表的视讯业务已经越来越成为关注的焦点。文章首先简要概述了IPTV的几种常见的QoE业务质量指标,接着详细阐述了视频传输质量评估指标MDI,主要对其两个主要参数进行了较为详尽的分析,并且简单地分析了实际的IPTV网络测试时序失真以及对视频质量的影响。最后提出了如何更好的提高网络业务质量各项指标是一项值得研究的课题。     

IPTV service based on a content-zapping paradigm

Internet protocol television (IPTV) generically designates a real-time distribution service for multimedia contents over an IP network, such as the Internet. There are many advantages of IPTV deployment over current digital or air broadcast TV signals: integration, the use of the switched internet protocol (IP), the possibility to build home networks that can be used to share multimedia contents over different devices, the easy implementation of video on demand services and the usage of better compression and encryption standards. In order to implement this kind of service, it is extremely useful to have a system that can efficiently classify multimedia contents and users and distribute them in a customized way. This paper proposes a novel IPTV service for the distribution of personalized multimedia contents over IP networks based on the concept of content-zapping, in contrast to traditional channel-zapping: each client system receives a multimedia streaming that is automatically composed by the system based on the user preferences and the user will only interact with the system by requesting a content change or marking a content as favorite. The paper will describe the general functionality of the service and will present the detailed architecture of the IPTV server, the key component of the service infrastructure. The server must maintain a list of media contents residing in other systems and must keep a dynamic classification of the multimedia contents that are stored in its database. This classification is built and gradually refined based on the interactions between clients and multimedia contents. Special attention is given in the paper to the classification model, describing the general ideas that are used to automatically suggest multimedia contents to a specific user (that is characterized by his complete profile). A specific content may be suggested to the user based on the knowledge of the user profile and/or based on specific and dynamic information, such as the user position, the local temperature, date and time. The availability of this information obviously depends on the specific user device that is being used. The proposed system allows any client device to connect, allowing a high level of interoperability. It is also possible to use all the device capabilities and sensors, like Global Positioning System (GPS), accelerometers, light sensors, noise sensors, etc., thus creating a context environment that helps classify each user profile. These context-awareness mechanisms applied to mobile devices with wireless network (802.11b/g/n, WiMAX, GSM, UMTS, etc.) capabilities allow a better user experience and more accurate multimedia suggestions, due to the deep knowledge about the user device, network and environment. The system also allows the users to suggest contents to other users in the same “group of friends”. Several performance tests were already conducted and the results obtained show that the proposed system is very stable and fast, even for high increases on the number of users.     

Catch-up TV forecasting: enabling next-generation over-the-top multimedia TV services

Due to recent developments in Over-The-Top (OTT) technologies, Pay-TV operators have begun a migration process of managed IP Television (IPTV) services to more appealing OTT approaches. In these scenarios, being able to predict when and what resources will be necessary at any given point is crucial to a high-quality, efficient, and cost-effective operation, especially when dealing with the dynamic and resource-intensive requirements of IPTV multimedia services. To evaluate the advantages of demand forecasting for efficient Catch-up TV delivery on OTT scenarios, this research work explores several classes of machine learning models regarding their accuracy, computational requirement trade-offs, and deployability. The training process relies on a dataset comprised of Catch-up TV usage logs acquired from an IPTV operator’s live production service containing over 1 million subscribers. A predictive and dynamic resource provisioning approach is proposed and evaluated in terms of bandwidth and storage savings. Results demonstrate that forecasting Catch-up TV demand is practical, suitable for integration in OTT solutions, and useful in improving efficiency, with benefits to operators and consumers. Significant savings in bandwidth and storage are shown to be achievable, enabling green and cost-effective resource usage.     

IPTV: challenges and future directions

The move to IP Protocol Television (IPTV) has challenged the traditional television industry by opening the Internet to high quality real time television content delivery. Thus it has provided an enabling set of key technologies to understand and foster further innovations in the multimedia landscape and to create dynamics in the TV value chain. This editorial provides a brief overview of this special issue. It begins with a short introduction to IPTV Technology and then summarizes the main contributions of the selected papers for this special issue, highlighting their salient features and novel results.