利用视频存储器实现屏幕图像暂存与恢复

本文介绍了如何利用VGA视频存储器（VRAM）的剩余空间来快速保存和恢复屏幕上的一个矩形区域的方法。     

基于圆鱼眼照片的全景图像生成方法

本文讨论了如何由鱼眼照片生成全景图像的过程，对各阶段的不同算法进行了分析比对，指出了不同算法的优缺点。最后通过实验拼舍出了一副完整的全景图像。     

图像拼接技术综述*

给出了图像拼接的一般流程,在此基础上将图像拼接技术分为两个关键技术——图像配准技术和图像融合技术,并分别对图像配准技术和图像融合技术的经典算法及最新算法作一概述和比较。     

一种新的图像定位和分类系统实现方案

首先简单介绍了图像定位和分类系统的基本概念.然后分析了几种图像定位和分类系统的实现方式与性能.在此基础上,提出了一种新型图像和分类系统实现方案该方案采用可重配置器件FPGA和数字信号处理器DSP协同工作,实现了便携式图像处理系统.最后给出系统测试平台设计思路,并详细列出新型系统的性能数据.     

激光条纹图像处理算法的研究

概述了数字图像处理的基本理论知识以及发展趋势,介绍了三维人体激光条纹图像的特点,并重点讲述了所选取的图像处理算法及其实现过程,对非接触式三维人体尺寸的获取有一定的参考意义。     

基于抖动的导航路径图像无缝拼接方法仿真

由于传统导航路径图像拼接法受尺寸大小、视觉角度以及光照变换等外界因素的影响,导致抖动图像匹配效果差,无法得到有效图像。因此,提出并设计一种基于抖动的导航路径图像无缝拼接方法。首先使用傅里叶变换方式对初始图像做变换处理,得到经过粗糙拼接的抖动结果,获取导航路径抖动后图像,再采用仿射映射与矩阵分解法对抖动图像做配准处理,修正该图像畸变,并得出两幅图像变换关系,然后使用ASIFT方式对其做特征点匹配计算,同时依据RANSAC原理去除匹配错误点,最后通过加权平滑方式对两幅抖动图像拼接线处理,实现抖动导航路径无缝拼接图像。通过仿真证明,所提方法计算简便、图像清晰、拼接效果具有较高实效性等优点。     

一种新的图像定位和分类系统实现方案

首先简单介绍了图像定位和分类系统的基本概念。然后分析了几种图像定位和分类系统的实现方式与性能。在此基础上,提出了一种新型图像和分类系统实现方案:该方案采用可重配置器件FPGA和数字信号处理器DSP协同工作,实现了便携式图像处理系统。最后给出系统测试平台设计思路,并详细列出新型系统的性能数据。     

匀速运动模糊图像的快速恢复

通过分析运动模糊图像产生的机理,由此建立退化和恢复的数学模型,并用计算机进行模拟,得到了质量较高的恢复图像。     

基于主灰度的声纳图像识别

声纳图像是一种灰度图像．所以将灰度信息作为特征参与匹配和识别,具有重要意义。针对声纳图像识别系统实时性要求高、存储空间小的特点,提出一种基于主灰度的提取和识别方法,从而降低了特征维数．提高了声纳图像的识别效率。将该方法应用于水下声纳图像的识别中,实验结果表明它是有效的,具有一定的实用价值。     

机器视觉和图像技术

本文对与机器视觉和图像技术相关的一些名词给出了简洁概括的定义,对机器视觉中主要涉及的图像技术的原理进行了介绍,并给出了一些图像技术应用的实例和结果。     

The Application of Video Semantics and Theme Representation in Automated Video Editing

This paper considers the automated generation of humorous video sequences from arbitrary video material. We present a simplified model of the editing process. We then outline our approach to narrativity and visual humour, discuss the problems of context and shot-order in video and consider influences on the editing process. We describe the role of themes and semantic fields in the generation of content oriented video scenes. We then present the architecture of AUTEUR, an experimental system that embodies mechanisms to interpret, manipulate and generate video. An example of a humorous video sequence generated by AUTEUR is described.     

VCMF: A Framework for Video Content Modeling

Current approaches to modeling the structure and semantics of video recordings restrict its reuse. This is because these approaches are either too rigidly structured or too generally structured and so do not represent the structural and semantic regularities of classes of video recordings. This paper proposes a framework which tackles the problem of reuse by supporting the definition of a wide range of models of video recordings and supporting reuse between them. Examples of the framework's use are presented and examined with respect to different kinds of reuse of video, current research, and the development of a toolset to support the framework.     

Columbia's VoD and Multimedia Research Testbed with Heterogeneous Network Support

This paper reports our progress in developing an advanced video-on-demand (VoD) testbed, which will be used to accommodate various multimedia research and applications such as Electronic News on Demand, Columbia's Video Course Network, and Digital Libraries. The testbed supports delivery of MPEG-2 audio/video stored as transport streams over various types of networks, e.g., ATM, Ethernet, and wireless. Both software and hardware video encoders/decoders are used in the testbed. A real-time video pump and a distributed application control protocol (MPEG-2's DSM-CC) have been incorporated. Hardware decoders and set-tops are being used to test wide-area video interoperability. Our VoD testbed also provides an advanced platform for implementing proof-of-concept prototypes of related research. Our current research focus covers video transmission with heterogeneous quality-of-service (QoS) provision, variable bitrate (VBR) traffic modeling, VBR server scheduling, video over Internet, and video transmission over IP-ATM hybrid networks. An important aim is to enhance interoperability. Accommodation of practical multimedia applications and interoperability testing with external VoD systems has also been undertaken.     

Model-Based Video Classification toward Hierarchical Representation,Indexing and Access

In this paper, we develop a content-based video classification approach to support semantic categorization, high-dimensional indexing and multi-level access. Our contributions are in four points: (a) We first present a hierarchical video database model that captures the structures and semantics of video contents in databases. One advantage of this hierarchical video database model is that it can provide a framework for automatic mapping from high-level concepts to low-level representative features. (b) We second propose a set of useful techniques for exploiting the basic units (e.g., shots or objects) to access the videos in database. (c) We third suggest a learning-based semantic classification technique to exploit the structures and semantics of video contents in database. (d) We further develop a cluster-based indexing structure to both speed-up query-by-example and organize databases for supporting more effective browsing. The applications of this proposed multi-level video database representation and indexing structures for MPEG-7 are also discussed.     

一种整体的视频匹配方法

给出一种视频时空配准的整体方法,提出一种视频内匹配与视频间匹配相结合的空间配准策略,改进动态时间扭曲方法以用于时间维的对齐.视频内匹配跟踪视频内各帧图像的特征点并记录其轨迹,视频间匹配配准不同视频的帧图像,使用轨迹对应提供图像配准所需的初始特征点对应,根据图像配准得到的特征点对应建立和更新轨迹对应.该匹配策略充分利用了视频的连贯性提高了匹配的稳定性和效率,同时提高了配准视频的连贯性.改进的动态时间扭曲方法通过极小化两段视频的整体距离建立视频之间的帧对应关系,保持视频内部各帧之间的时序关系并能处理非线性偏移     

Metadata-driven interactive web video assembly

The recent expansion of broadband Internet access led to an exponential increase of potential consumers of video on the Web. The huge success of video upload websites shows that the online world, with its virtually unlimited possibilities of active user participation, is an ideal complement to traditional consumption-only media like TV and DVD. It is evident that users are willing to interact with content-providing systems in order to get the content they desire. In parallel to these developments, innovative tools for producing interactive, non-linear audio-visual content are being created. They support the authoring process alongside management of media and metadata, enabling on-demand assembly of videos based on the consumer’s wishes. The quality of such a dynamic video remixing system mainly depends on the expressiveness of associated metadata. Eliminating the need for manual input as far as possible, we aim at designing a system which is able to automatically enrich its own media and metadata repositories continuously. Currently, video content remixing is available on the Web mostly in very basic forms. Most platforms offer upload and simple modification of content. Although several implementations exist, to the best of our knowledge no solution uses metadata to its full extent to dynamically render a video stream based on consumers’ wishes. With the research presented in this paper, we propose a novel concept to interactive video assembly on the Web. In this approach, consumers may describe the desired content using a set of domain-specific parameters. Based on the metadata the video clips are annotated with, the system chooses clips fitting the user criteria. They are aligned in an aesthetically pleasing manner while the user furthermore is able to interactively influence content selection during playback at any time. We use a practical example to clarify the concept and further outline what it takes to implement a suchlike system.

Detecting Roads in Stabilized Video with the Spatio-Temporal Structure Tensor

Video provides strong cues for automatic road extraction that are not available in static aerial images. In video from a static camera, or stabilized (or geo-referenced) aerial video data, motion patterns within a scene enable function attribution of scene regions. A “road”, for example, may be defined as a path of consistent motion — a definition which is valid in a large and diverse set of environments. The spatio-temporal structure tensor field is an ideal representation of the image derivative distribution at each pixel because it can be updated in real time as video is acquired. An eigen-decomposition of the structure tensor encodes both the local scene motion and the variability in the motion. Additionally, the structure tensor field can be factored into motion components, allowing explicit determination of traffic patterns in intersections. Example results of a real time system are shown for an urban scene with both well-traveled and infrequently traveled roads, indicating that both can be discovered simultaneously. The method is ideal in urban traffic scenes, which are the most difficult to analyze using static imagery.     

VisualGREP: A Systematic Method to Compare and Retrieve Video Sequences

Multimedia Tools and Applications - In this paper, we consider the problem of similarity between video sequences. Three basic questions are raised and (partially) answered. Firstly, at what...     

海量监控视频快速回放与检索技术

为解决海量监控视频的快速浏览和检索,介绍了一种基于目标索引的视频摘要和检索方法。该方法在光流分析的基础上,在画面的静止区域更新背景,运动的区域利用差分法分割出运动目标图像。经过优化的快速特征匹配和建立运动跟踪模型后,根据目标运动轨迹,按照时空距离进行聚类。在目标图像数据和运动参数进行XML结构化存储为索引的基础上,最后在检索时将符合条件的所有目标图像,按照其原有时间顺序逐帧贴到同一个背景图像中,形成动态的摘要视频。由于该方法剔除了背景中大量的时空冗余信息,可在较短回放时间内浏览全部有用目标,显著提高海量监控视频的查阅效率。     

基于VFW的远程视频捕获技术研究

多媒体技术在人们日常生活中的应用越来越广泛,图像、视频、音频等多媒体数据逐渐成为信息处理领域中主要的信息媒体形式。视频捕获技术是信息处理中的重要环节,研究该项技术具有重要的实用价值。文章提出一种基于VFW的远程视频捕获方法。该方法利用VFW捕获视频数据,采用H.263编码标准压缩视频数据,利用面向连接协议的流式套接字实现实时视频流的传输,结合多线程技术实现视频文件播放。然后,基于Windows操作系统设计实现了远程视频捕获系统。实验结果表明,该方法CPU占用率低、内存占用小,可靠性强,具有较好的应用价值。