基于有线数字电视网络的双向业务实现方案

数字电视整转已过了好几年了,广电不在满足于单纯的数字电视,大力开展数字电视双向业务,使有线电视网络具备承载模拟和标准清晰度数字电视节目、高清晰度数字电视节目、广播、视频点播、宽带数据接入,语音服务等多种业务的能力。     

IPTV中互动电视业务的设计与实现

相对于传统的模拟电视到数字电视的转换,数字电视业务网络化传送业务模式不仅是向三网业务融合更迈进了一步,而且对于实现与视频节目内容同步的互动电视业务提供了新的方法.本文针对宽带网络IPTV业务环境,通过互动业务导引信息与视频节目内容的同步"推"及用户利用该导引信息"拉"的模式,提出了一种新的互动电视业务实现模式.该实现模式的主要特点在于基于DVB数据广播技术,将与视频内容同步的互动业务导引信息同步插入到电视节目的TS流中,用户端利用该导引信息,基于WEB方式实现互动业务.     

数字电视节目存储与管理方法探讨

随着科学技术的迅猛发展,人类社会已经步入数字化时期.数字一体机具有数字电视高频头,能够对数字电视节目源进行直接接收与解码.电视节目在拍摄、编辑、播放过程中,向着多媒体网络设备方向发展.作为数字视频网的一部分,数字电视节目存储与管理网络包括节目素材压缩系统、节目素材存储系统、节目素材查询系统、节目素材输出系统,数字电视节目存储不同介质具有不同特征,为数字电视节目存储与管理提供方便.对数字电视节目存储方式与电视节目媒体资产管理进行介绍,详细阐述不同数字电视节目的存储介质的特征.     

数字电视比模拟电视有那些优势?

数字电视与模拟电视有很大不同,数字电视的优点主要体现在技术层面上。第一,频道增加了,有条件的可开通四五百套节目。第二,图像更清晰,音质更高,观众可以通过机顶盒在普通电视机上欣赏到DVD视频效果、CD音频效果的标准清晰度电视节目。第三,功能巨大丰富,数字电视除了提供现有的电视广播节目外,还能提供许多新业务。数字电视节目最吸引人的两点是:第一,专业化、对象化。数字电视可开设独立的、专业的、全天的频道,像电影、汽车、房产、MTV、体育等专业频道。第二,数字电视频道不插播广告。数字电视比模拟电视有那些优势?…     

数字电视电子节目指南软件系统的设计

电子节目指南指的是在电视节目信息中起到导航作用的系统,是为数字电视广播编码进行传递的系统,实现了对数字电视广播业务信息系统的集中的管理,并且在制作、审查、调度等方面发挥了较好的作用,在广电运营的管理中发挥了极大的作用。     

CMMB转播系统

CMMB是英文China Mobile Multimedia Broadcasting（中国移动数字多媒体广播）的简称。目前CMMB的主要业务为视频广播业务,因为受终端硬件的约束,目前只能在配有CMMB模块的设备上观看CMMB视频节目。提出了一种基于CMMB系统的数字电视转播系统,阐述了系统架构以及各部分的设计与实现,并对H.264、AAC的RTP传输、解码、同步表现等关键技术与算法进行了详细的说明。经实验证明,该系统能够完成CMMB数字电视转播,并且能够使多个用户在Windows,Linux,Symbian三类操作系统的终端下共享收看到数字电视节目。扩展了通用终端的功能,节约了用户的经济投入,并且解决了CMMB室内覆盖不足的缺点。     

基于PC机的TS流解析技术的研究

日益增长的广播电视数字业务的需求,使得作为数字电视广播前端关键设备之一的再复用器成为当前研究与开发的热点.而对多节目传输流的解多工复用是再复用器中的一项重要技术,其效果的好坏将直接影响到再复用器的质量.本次设计在对数字电视传输流复用和解复用技术以及MPEG-2相关标准了解的基础上,利用PC机进行完备的节目专用信息滤波以及解复用流程的实现.     

数字电视大家一起来

“高清”是近期热门话题，归根结底，高清节目是数字节目的一种，是利用数字技术实现制作、传播、播放的新一代电视系统的一部分，那么，何谓数字电视，数字视频信号和传统模拟视频信号有什么区别，收看数字电视节目有哪些讲究？带着这些疑问，让我们走近数字电视，走近数字电视机顶盒。     

什么是数字电视?

数字电视是利用数字化的传播手段提供卫星电视传播与数字电视节目服务,从而为用户带来集高品质图象质量特色化服务内容于一身数字电视频道服务。用户只要在家中加装一台数字电视机顶盒,不必再对家里的有线电视线路和电视机作任何改动,就可以用现在的电视机接收数字电视节目。于是,机顶盒成了收看数字电视的必备工具。所谓机顶盒(STB)就是一种叫做“数字电视综合解码器”,或“数字电视综合机顶盒”的附加设备,它的作用是接收并处理数字电视节目信号,并将其转换成模拟电视机可以接收的信号,再利用模拟电视机进行显示。什么是数字电视?…     

基于TS的节目推荐系统设计

随着数字电视的普及,电视节目无论在数量还是种类上都在不断的增加,给用户带来了众多的可选择性。虽然在选择性上具有了较大的提升,但是用户搜索自己感兴趣的节目成为了一个繁琐的过程。针对这一问题,设计并实现了基于TS传输流的数字电视节目推荐系统。系统分为服务端和客户端,服务端根据数字电视的电子节目指南(EPG)信息,针对每一个节目,利用节目的相关属性形成节目推荐列表,对所形成的节目推荐列表进行TS打包,以TS流的方式进行传输。客户端解析TS流,得到节目推荐列表。     

A cloud-based intelligent TV program recommendation system

In recent years, cloud computing technology has matured significantly, as has the development of digital TV services. This, therefore, has led to an increased demand for improved quality TV services. In this paper, cloud computing technology is used to build a program recommendation system for digital TV programs, and the Hadoop Fair Scheduler is utilized to improve processing performance. Historical data of watched TV programs are collected through an electronic program guide, and then processed using K-means clustering, term frequency/inverse document frequency and k-nearest neighbor algorithms, to obtain clusters of audience groups and to find popular TV programs for each cluster. The proposed system can process massive amounts of user data in real-time, and can easily be scaled up.     

电视监测报警系统的设计与实现

电视监测报警系统采用全数字处理的信号监测机制,通过监测报警设备对集团数字节目进行实时监测,可以对多路数字节目信号实时监测报警,并记录故障时段及前后30秒的视音频节目。报警采用语音报警、声光报警等,并通过集团的短信平台发送短信告警提醒。通过WEB技术,用户可以在浏览器中监看任意一路电视信号,或者多画面监看,并对报警进行查询、统计和监看。     

A natural language model for managing TV-Anytime information in mobile environments

The TV-Anytime standard describes the structures of categories of digital TV program metadata, as well as user profile metadata for TV programs. We describe a natural language (NL) model for the users to interact with the TV-Anytime metadata and preview TV programs from their mobile devices. The language utilises completely the TV-Anytime metadata specifications (upper ontologies), as well as domain-specific ontologies. The interaction model does not use clarification dialogues, but it uses the user profiles as well as TV-Anytime metadata information and ontologies to rank the possible responses in case of ambiguities. We describe implementations of the model that run on a PDA and on a mobile phone, and manage the metadata on a remote TV-Anytime-compatible TV set. We present user evaluations of the approach. Finally, we propose a generalised implementation framework that can be used to easily provide NL interfaces for mobile devices for different applications and ontologies.     

播存电视的实验室系统构建

在实验室构建的有线电视广播网硬件平台上设计与实现了播存电视系统。在服务器端为节目标引统一内容定位信息,在客户端增加存储环节,利用节目的标引信息定位节目内容。该系统实现了2路数字电视节目源的广播传输与客户端的增量式下载。实验结果证明了在有线电视广播网平台上构建播存电视系统的可行性与有效性。     

Paper remote: an augmented television guide and remote control

The television (TV) is one of the most common entertainment devices in homes. Searching and finding TV programs is a common task and using TV guides is one way of performing this. This paper presents three studies that are focused on examining audiences’ TV habits and TV guide usage, evaluating a new concept based on linking paper and pen with TV technology, and studying the audiences’ attitudes toward and anticipated interest in the future guide. The results of our first study emphasize the value of using paper based TV guides and also identify the deficiencies. We also found indications that the advantages and disadvantages of paper-based TV guides are related to the physical properties of paper. Thus, we suggest a solution that uses digital pen and paper technology to offer a new interaction method for TV. A research system “Paper Remote”, is developed and used in the two subsequent studies. Viewers tick designated areas on the paper-based guide to perform actions such as channel switching. However, this solution is not a substitute for the remote control device. We argue that these user studies on linking digital paper to the TV for everyday information navigation illuminate the possibilities of providing innovative solutions also for home information systems also.     

H.264视频压缩技术及应用

ISO/IEC和ITU-T联合制定的H.264标准,是目前最新的视频压缩标准。该标准采用一系列最新的压缩技术,提高了压缩率。本文重点介绍了视频编码标准H.264的关键压缩技术,并阐述了它在数字电视、高清晰度电视以及移动通信等方面的应用前景。     

A Multimodal Scheme for Program Segmentation and Representation in Broadcast Video Streams

With the advance of digital video recording and playback systems, the request for efficiently managing recorded TV video programs is evident so that users can readily locate and browse their favorite programs. In this paper, we propose a multimodal scheme to segment and represent TV video streams. The scheme aims to recover the temporal and structural characteristics of TV programs with visual, auditory, and textual information. In terms of visual cues, we develop a novel concept named program-oriented informative images (POIM) to identify the candidate points correlated with the boundaries of individual programs. For audio cues, a multiscale Kullback-Leibler (K-L) distance is proposed to locate audio scene changes (ASC), and accordingly ASC is aligned with video scene changes to represent candidate boundaries of programs. In addition, latent semantic analysis (LSA) is adopted to calculate the textual content similarity (TCS) between shots to model the inter-program similarity and intra-program dissimilarity in terms of speech content. Finally, we fuse the multimodal features of POIM, ASC, and TCS to detect the boundaries of programs including individual commercials (spots). Towards effective program guide and attracting content browsing, we propose a multimodal representation of individual programs by using POIM images, key frames, and textual keywords in a summarization manner. Extensive experiments are carried out over an open benchmarking dataset TRECVID 2005 corpus and promising results have been achieved. Compared with the electronic program guide (EPG), our solution provides a more generic approach to determine the exact boundaries of diverse TV programs even including dramatic spots.     

硬盘播出系统的数据储存技术

硬盘播出系统是电视数字信号的母体,观众看到的电视节目都以数据的形式储存在硬盘播出系统中。该系统的数据储存技术主要有在线存储、近线存储、DAS、SAN、RAID3。     

一款实用智能高清电视视频转换器的设计

摘要：描述了一种高清电视视频转换器的具体实现原理和方法。本系统可以方便地将复合电视视频信号转换成多种不同分辨率的VGA信号,普通的模拟电视信号经过此系统转换后就可以直接送入到各种液晶显示器。使用本系统,用户不用购买价格昂贵的液晶电视就可以达到收看液晶电视节目的目的。     

A hybrid content-based and item-based collaborative filtering approach to recommend TV programs enhanced with singular value decomposition

With the advent of new cable and satellite services, and the next generation of digital TV systems, people are faced with an unprecedented level of program choice. This often means that viewers receive much more information than they can actually manage, which may lead them to believe that they are missing programs that could likely interest them. In this context, TV program recommendation systems allow us to cope with this problem by automatically matching user’s likes to TV programs and recommending the ones with higher user preference.This paper describes the design, development, and startup of queveo.tv: a Web 2.0 TV program recommendation system. The proposed hybrid approach (which combines content-filtering techniques with those based on collaborative filtering) also provides all typical advantages of any social network, such as supporting communication among users as well as allowing users to add and tag contents, rate and comment the items, etc. To eliminate the most serious limitations of collaborative filtering, we have resorted to a well-known matrix factorization technique in the implementation of the item-based collaborative filtering algorithm, which has shown a good behavior in the TV domain. Every step in the development of this application was taken keeping always in mind the main goal: to simplify as much as possible the user task of selecting what program to watch on TV.