基于H.264的视频数据传输及解码技术研究与设计

移动视频监控系统需要传输大量的实时视频数据,由于网络结构复杂、带宽有限等硬件条件限制,监控系统必须综合应用流媒体技术和视频编解码技术,才能满足在复杂条件下实时监控等功能要求。文章详细研究分析了流媒体技术和视频解压缩技术,提出了一种可行的项目实施方案,本方案将采用压缩率较高的H.264技术对视频数据进行编码,然后封装到RTP/RTCP数据包中,利用UDP协议进行传输。     

低速率的无线视频监控系统设计与实现

随着低速率的视频编码技术与无线通信技术的迅速发展,使得为用户提供移动视频监控业务成为可能。这里,文章实现了一套在移动环境下的实时视频监控系统。该系统融合了H.264视频编码技术,并对H.264核心代码进行了优化,以确保其在处理能力较弱的移动终端上流畅解码。实验表明,即使在低速率的无线网络环境下,也可以获得较高质量的监控图像。     

基于S5PC100移动视频监控终端的设计与实现

为弥补传统固定监控架设成本高、监控有死角等不足,设计一种基于S5PC100处理器,以WinCE6.0为软件平台的移动视频监控终端.ZC0301摄像头为采集设备,利用处理器内置编码器对原始视频进行H.264编码,通过支持IEEE802.11b/g协议的无线网卡或WCDMA模块将视频流发送至后台计算机,实现移动视频监控功能.实验表明该系统只占用有限的带宽,并能满足实际应用对高质量图像的需求.     

高速铁路综合视频监控系统构成及其技术方案分析

随着计算机技术的发展,视频编码技术在视频监控中的作用越来越重要,它对视频监控系统中的图像质量、网络传输带宽、系统间的互联互通、资源共享等很多方面都具有十分重要的作用。文章主要介绍了高速铁路综合视频监控系统总体构成,并对高速铁路综合视频监控系统编码技术方案选择等进行了分析。     

低速率移动视频监控系统设计与实现

针对日前三大电信运营商普遍采用按用户使用流量来收取通信资费的计费模式,需要移动视频监控系统尽可能地减少对网络带宽的占用.对此,文章设计实现了一套移动视频监控系统,该系统融合了自适应帧内编码与自适应多帧参考技术.从而使系统在取得较好的视频监控图像视觉质量的情况下,能有效地降低对网络带宽的占用.     

基于DM368的智能视频监控系统设计

设计了一种基于达芬奇技术的智能视频监控系统,系统采用DM368实现前端全高清视频采集编码。根据需求能够灵活地选用移动通信网或固网进行视频传输,保证后端能够获取高质量的图像数据,通过后端智能的方式实现对视频信息的准确分析,提高了视频监控系统的管理效率。     

视频监控系统安卓采集端通信框架设计和实现

通信技术与移动网络的不断发展,使得视频监控系统日益成熟,被广泛应用于城市交通、消防安全与学校管理等不同的领域。基于移动网络的信息传输优势,移动视频逐渐成为现阶段视频监控系统发展的主流,为了进一步优化移动视频监控系统的技术表现,文章以安卓系统为核心,着力打造基于安卓操作系统的视频监控系统通信框架,实现视频采集、信息数据系统与监控端的有效衔接,构建起科学、高效、快捷、稳定的移动视频监控通信框架体系。     

基于ARM的移动视频监控系统设计

设计一种基于ARM的移动视频监控系统,介绍嵌入式系统下视频压缩、编解码库的移植与应用,视频流媒体的传输与控制。系统由视频采集端和移动监控端组成,视频采集端主要功能包括视频数据采集、压缩编码、传输及控制;移动监控端采用Android智能手机借助3G无线网络连接视频采集端,从而实现远程无线视频监控功能。实验结果表明,视频图像清晰、播放流畅、延时小且系统稳定可靠,达到了系统的设计要求。     

远程视频监控系统的设计与实现探讨

远程视频监控系统是实现多方位技术自动化的重要系统之一。文章将通过对远程视频监控系统的软件和硬件构成,通过对系统软件中有关视频采集处理、图像处理以及编程编码等视频技术来介绍远程视频监控系统,同时还会结合其它技术来分析。     

企业视频监控系统的关键技术探讨

本文从自动人脸识别、视频增强和视频编码优化等三个方面,探讨了企业视频监控系统的关键技术,以期为保障企业视频监控效果,推动视频监控技术发展提供参考价值.     

H.264/AVC在3G移动通信中的应用

H.264/AVC是目前最新,也是性能最优异的国际视频压缩编码标准。在相同的视频质量下,H.264/AVC可以比MPEG-4(SP)节省大约一半的带宽,同时还具有更好的网络适应性和传输健壮性,在3G移动通信系统带宽资源紧张、通信环境恶劣的情况下,H.264/AVC应该是目前最合适的选择。从压缩效率、网络适应性和健壮性3个方面分析了H.264/AVC的新技术,并讨论了它们在3G移动通信中的应用。     

移动视频监控系统的设计与实现

提出一种基于3G无线网络平台实时传输MPEG-4流媒体的策略,结合移动视频监控系统,给出总体设计框图,并对嵌入式移动视频监控系统的软件设计进行了阐述.在3G网络平台上的运行表明,该系统能在带宽有限的情况下很好地工作.     

Investigations on bit error performance for video over DAB

The digital audio broadcasting (DAB) system which was originally designed for high quality audio transmission to mobile receivers is investigated for transmission of compressed digital video and multimedia signals. The bit error performance is considered using various levels of error protection provided by the DAB system. As a result, a net bit rate of about 1.5 Mbit/s can be achieved. With additional error correction coding, a bit error ratio (BER) of less than 10^-10 can be realized. This is the requirement for compressed video signals. The SNR per bit is below 16 dB. The results are demonstrated and compared using computer simulations of the complete system     

基于4G/LTE网络的无人作战平台视频传输系统设计

无人作战平台在执行任务时,需要进行无线视频传输。然而目前广泛使用的移动通讯技术在传输视频数据时,对视频质量有很大的限制。为了满足作战指挥人员获取高清视频的需要,运用4G/LTE构建无人作战平台视频传输系统无疑是好的选择。该系统在无人作战平台控制、参加抢险救灾和战场监控等方面将会有广阔的应用前景。     

Design of spread spectrum multicode CDMA transport architecture formultimedia services

We investigate a new application of the well-known spread spectrum code division multiple access (SS-CDMA) techniques to multimedia services related to the development of the next-generation wireless mobile networks interconnecting with a wireline ATM-based broadband network. Such services allow users to share novel multimedia applications without any geographical restrictions. However, since the mobile radio channel has a fixed limited bandwidth, the traditional SS-CDMA system may not be sufficient to accommodate the variable bit rate (VBR) multimedia services requested by multiple mobile users simultaneously. Moreover, the traffic load at the base station can change dynamically due to the time-varying throughput requirement of these requested multimedia services. To tackle this difficulty, a multicode CDMA (MC-CDMA) technique is proposed to provide multirate multimedia services by varying the number of spreading codes assigned to each user in order to meet its throughput requirement. In MC-CDMA, a spreading code can be used to transmit information at a basic bit rate. Users (video or data) who need higher transmission rates can use multiple codes in parallel. Meanwhile, the maximum available number of codes in the MC-CDMA system is still limited. Hence, a cost-effective dynamic code allocation scheme has then been proposed to dynamically assign an appropriate number of codes to each user for achieving the maximum resource utilization for multiuser multimedia services via the mobile radio channel. Finally, a number of real multimedia titles generated from the well-known MacroMind Director are conducted to evaluate performance     

Highly scalable wavelet-based video codec for very low bit-rateenvironment

We introduce a highly scalable video compression system for very low bit-rate videoconferencing and telephony applications around 10-30 kbits/s. The video codec first performs a motion-compensated three-dimensional (3-D) wavelet (packet) decomposition of a group of video frames, and then encodes the important wavelet coefficients using a new data structure called tri-zerotrees (TRI-ZTR). Together, the proposed video coding framework forms an extension of the original zero tree idea of Shapiro (1992) for still image compression. In addition, we also incorporate a high degree of video scalability into the codec by combining the layered/progressive coding strategy with the concept of embedded resolution block coding. With scalable algorithms, only one original compressed video bit stream is generated. Different subsets of the bit stream can then be selected at the decoder to support a multitude of display specifications such as bit rate, quality level, spatial resolution, frame rate, decoding hardware complexity, and end-to-end coding delay. The proposed video codec also allows precise bit rate control at both the encoder and decoder, and this can be achieved independently of the other video scaling parameters. Such a scheme is very useful for both constant and variable bit rate transmission over mobile communication channels, as well as video distribution over heterogeneous multicast networks. Finally, our simulations demonstrated comparable objective and subjective performance when compared to the ITU-T H.263 video coding standard, while providing both multirate and multiresolution video scalability     

基于V4L2的移动视频监控系统研究与设计

设计了一种基于ARM-Linux的移动视频监控系统,介绍了嵌入式Linux操作系统下的V4L2视频采集流程。该系统分为采集端和监控端,采集端主要完成视频采集、图像压缩处理和视频传输等功能;远程监控端通过手机3G上网方式连接到视频采集端,从而实现视频监控功能。该系统结构简单,使用便利,成本低廉,非常适用于家居安防。     

From rate-distortion analysis to resource-distortion analysis

The ultimate goal in communication system design is to control and optimize the system performance under resource constraints. As the communication paradigm evolves from the conventional desktop computing, wired, and centralized communication to current mobile, wireless, distributed, and massive communication, video encoding and transmission operate under more and more resource constraints. In traditional video communication applications, such as digital TV broadcast, the major constraint is in the form of transmission bandwidth or storage space, which determines the encoding bit rate. Rate-distortion (R-D) theories have been developed to model the relationship between the coding bit rate and signal distortion. For video communication over mobile devices, the video encoding and transmission operate under additional resource constraints, such as energy supply and on-board computation capability. Therefore, there is a need to extend the traditional R-D analysis to resource-distortion analysis by incorporating the new resource constraints into the R-D analysis framework. In distributed and massive wireless video sensor networks, the resource utilization behaviors of individual video sensors should be well-coordinated through network-level rate allocation and optimum routing so as to maximize the overall performance. In this paper, we start from the classical R-D theory developed by Shannon over 50 years ago, and then review the R-D modelling techniques for modern image and video compression systems. We study the resource-distortion analysis framework for video communication over wireless devices. As one step further, we present the research problem of resource allocation and performance optimization for video compression and communication over a network of wireless communication devices.