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With the much application of multimedia technique,video frequency data and audio frequency data need to be processed.

随着多媒体技术的大量应用,需要对视频和音频数据进行处理,由于现实的网络状况难以满足较好的实时视频通讯的要求,因此对音频数据的处理就显得更加重要。

In this paper the block diagram of a real-time video network transmission system is provided.

摘 要:实时视频网络传输技术的研究对开展视频应用具有重大意义。

But a live video conversation may just as easily be thought of as a set of discrete video messages, where each person responds to the other in real time or delayed time.

但是实时视频会议已经很容易被认为是一组分散的视频信号,在这里每一个人都实时或延时回应其他人。

In information processing, especially realtime video image processing usually have to deal with video images, which must first be designed largecapacity memory, synchronous dynamic random access memory SDRAM Although there are low cost, large capacity, etc., but SDRAM control structure of the complex, commonly used method is to design generic SDRAM controller, which makes a lot of people had to abandon the use of SDRAM and the use of expensive SRAM.

在信息处理中,特别是实时视频图像处理中,通常都要对实现视频图像进行处理,而这首先必须设计大容量的存储器,同步动态随机存储器SDRAM虽然有价格低廉、容量大等优点,但因SDRAM的控制结构复杂,常用的方法是设计SDRAM通用控制器,这使得很多人不得不放弃使用SDRAM而使用价格昂贵的SRAM。

In this paper, we present a system for real-time capturing, processing and interactive delivery of multi-view video.

与其它研究多视角视频采集与后期处理的系统不同,本文介绍的可交互式多视角实时视频系统可以实时地采集与处理多个视角的视频数据,并在传统的单视角视频服务基础上,为IP网络中的多用户提供高度可交互的视觉特效服务。

In the meantime, we got several achievements during the process:Firstly, a sequence encryption algorithm of real-time video in use of one dimension piece-wise linear chaotic map is carried out. This algorithm makes use of Inter' s SSE2 special dictates and makes nonlinear change of chaotic sequences.As a result, the algorithm not only encrypts faster, but also resists several cipher analysis methods. Secondly, this paper presents a block encryption algorithm of real-time video based on chaotic neural network which makes use of numerical transient chaotic neural network to produce chaotic sequences and uses these sequences to do encryption.

同时,在实现系统的过程中,取得了以下研究成果:(1)提出了一种利用一维的分段线性混沌映射来对实时视频进行序列加密的算法,该算法利用Inter的SSE2专用指令集来实现,并对产生的混沌序列进行了有效的非线性变换,从而使该算法不仅加密速度快,并且能有效的抗多种密码分析;(2)提出了一种利用混沌神经网络对实时视频进行分组加密的算法。

ABSTRACT TMS320C80 is one of the most powerful multimedia video processors in the world, which integrates a RISC main processor with standard floating point processing unit, four advance parallel DSPs, an intelligent transfer controller, and a video controller. It's capable of processing video in real-time.

TMS320C80是世界上功能最强的多媒体视频处理器之一,在单一芯片上集成了一个带标准浮点运算单元的RISC主处理器、四个高级的并行数字信号处理器、一个智能的传输控制器和一个视频控制器,具有强大的实时视频处理能力。

Video pre-filtering is an important technique in all kinds of real-time video application fields and related areas.

针对各种实时视频应用领域的实际要求,提出了一种新颖的实时视频预处理算法。

In the paper, a small system of real-time video stylization is presented in which real-time video stylization is implemented in PC with the help of the powerful computation capability of GPU.

本文实现了一个小型的实时视频艺术风格化系统,借助显卡中图形处理器较强的运算能力,在普通的个人电脑上实现了实时的视频艺术风格化。

Mathematics analysis and simulation result both show that the solution mainly cut-down the requirement on the hardware and network environment, and also certainly improve the image quality. The robust of transfer network is been improved by the small-world-based unstructured P2P network.

数学建模与仿真两方面的结构都显示了解决方案有效的降低了实时视频编码过程中对提供及接受端背景工作环境的干扰,提高了实时视频的图像质量,并通过基于小世界理论的对等网构建算法实现了去中央化的传输网络,大幅提高了实时直播系统的稳定性及系统效率。

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