多媒体查询语言及其评价准则

随着多媒体技术和多媒体相关应用的发展,对有效检索多媒体信息的要求越来越迫切.查询语言作为信息检索的有效工具,其研究也越来越受到关注.对现有的多媒体查询语言进行了全面的综述,将它们分为两类:专用语言和通用语言.尽管查询语言对多媒体信息系统提供有效的查询服务至关重要,但目前仍没有较好的多媒体查询语言评价准则.因此,针对多媒体查询语言的查询表达能力设计准则共16条,并根据这些准则对多媒体查询语言进行了评价.评价结果表明,这些语言能满足用户的基本查询要求,但在高级语义查询和不确定查询等方面还有欠缺.最后展望了多媒体查询语言的未来研究方向.     

多媒体金融教学、培训系列演示软件制作技术

介绍了多媒体CAI课件的开发与制作全过程,论述了多媒体CAI课件中的信息内容的准备、制作与合成技术。     

基于分簇的无线多媒体传感器网络数据聚合方案研究

该文提出了一种基于分簇的无线多媒体传感器网络(WMSNs)数据聚合方案(Cluster-based Data Aggregation Algorithm, CDAA)。利用新的分簇方法和数据聚合策略,CDAA可以有效延长网络生命期。根据多媒体节点数据采集的方向性和节点剩余能耗,该文提出新的无线多媒体传感器网络的分簇方法,并基于该分簇方法进行网内多媒体数据聚合。仿真结果表明,该方法能够有效减少冗余数据的传送,与LEACH, PEGASIS等传统WSNs路由协议和针对WMSNs的AntSensNet协议相比,在能耗均衡和节能方面表现出更好的性能。     

基于关系数据库ORACLE的多媒介信息管理系统

本文介绍了一个多媒介信息管理系统的设计与实现,提出了基于关系数据库的多媒介信息一体化存取与管理方案,以及适宜的用户界面。     

穿戴式多媒体系统

介绍了一种可穿戴式多媒体系统.和常用的手持式电脑或手机相比,穿戴式多媒体利用人体工效学原理设计的头戴式耳麦、眼镜式显示器和摄像头部件、腕表式触控屏、服装网络及多媒体通信网关,可有效克服由于失重或手持不便等应用场合的限制,适合在失重环境、野战环境或手工作业条件下应用.     

多媒体技术对民族民间音乐的推动与保护作用--以中国民族民间音乐为例

民间音乐是我国古老文化中的一颗璀璨夺目的明珠,文章从民族民间音乐的定义和地位出发,重点分析了民族音乐的具体特征。现代互联网技术,将这些特征进行更好的发扬,在保证了传统民间音乐的精华的同时,给民间音乐注入了更多新的活力,目前,多媒体技术,将民族音乐带入了课堂、带入了影视行业,为我们民族音乐的更好发展提供了更为宽广的途径。     

一种降低正交频分复用峰均功率比的方法

目前正交频分复用（OFDM）正得到越来越广泛的应用，但其主要缺点是有较高的峰均比（PAPR），虽然有许多降低OFDM信号的峰均比的方案，但是却大大增加了系统的复杂性，本文通过改进一种降低OFDM信号峰均功率的方法，很好地解决了复杂性和峰均比的降低的问题。     

A performance study for IPv4–IPv6 translation in IP multimedia core network subsystem

A Next Generation Network (NGN) is an advanced, packet‐based network that exploits broadband and QoS‐enabled transport technologies for enabling multimedia services. In NGNs, the principles and requirements of IP Multimedia Sub‐system (IMS), which are used to deliver the desired benefits, should be carefully examined and studied. Internet Protocol version 6 (IPv6) is adopted by Third‐generation Partnership Project (3GPP) to solve address storage problem and provide new features (e.g. plug‐and‐play and mobility) for IMS. However, in the early stage of IPv6 deployment, the existing Voice‐over‐IP (VoIP) networks support Internet Protocol version 4 (IPv4) only. For IPv4–IPv6 interworking between IMS and the existing VoIP networks, the IMS‐Application Level Gateway (IMS‐ALG) and the Transition Gateway (TrGW) are proposed to translate Session Initiation Protocol (SIP) and Real‐time Transport Protocol (RTP) packets, respectively. In this paper, we focus on the IPv4–IPv6 translation for RTP packets, which is the bottleneck of VoIP performance. Specifically, we developed a TrGW called National Information and Communications Initiative (NICI)‐TrGW. In NICI‐TrGW, we perform IPv4–IPv6 translation at the Linux kernel and adjust the header room of kernel‐level packet buffer for each packet to reduce memory‐copy operations. We evaluate the performance of NICI‐TrGW and the existing solutions by using the SmartBits. Our study indicates that NICI‐TrGW outperforms the existing solutions in terms of three different output measures including packet loss rate, maximum throughput, and average latency. Copyright © 2009 John Wiley & Sons, Ltd.     

基于Author Ware的多媒体课件的研究与实现

分析现有课件的优缺点,提出应用Author ware设计一套具有：登录验证、浏览、演示、测试、实验、帮助等六大功能,整个系统结构简单、功能强大、界面友好易于操作的《电子技术》多媒体课件方案。     

A memory efficient parallel layered QC-LDPC decoder for CMMB systems

This paper presents a memory efficient architecture of layered decoder for the dual-rate LDPC codes in the China Multimedia Mobile Broadcasting (CMMB) system. An efficient scheme for reducing the memory block number is proposed to increase the memory usage efficiency, so that the quantity of memory bits, decoder area and power consumption is significantly reduced. At the same time, the memory structure keeps the “one cycle one layer access” timing schedule to achieve high decoding throughput. Furthermore, the early termination strategy is employed to further increase the throughput; a non-uniform quantization scheme and an area efficient calculation module are developed to further improve the memory efficiency and hardware resource efficiency, respectively. By using SMIC 130 nm 1P7M CMOS process, the decoder is implemented and the core area is 5.29 mm². The total memory bits consumption is only 130.5 K which consumes 2.53 mm² memory area.