Description: 最近去看監視器材,看到他們的監視軟體
就突發奇想自己來寫一個看看
程式會把移動中的物體用綠色框框起來
並且把當時的影像存成jpg檔(我把這個功能註解起來了)
我這個程式是在UltraEdit(類似記事本)下寫成的
程式裡用到JMF套件
主程式是webcamCapture.java
-look at the latest surveillance equipment, they are seen on the surveillance software you have to write their own programs will look at a moving object with a green frame up and the then save the image jpg stall (I use this functional annotation up) I programs in the UltraEdit (like Notepad), written li formula used JMF Boards main program is webcamCapture.java Platform: |
Size: 267264 |
Author:陳大衛 |
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Description: 在基于内容的图像检索中,图像的标注字能够缩小图像的高级语义和低级视觉内容
之间的差距,并方便检索. 但手工标注费时费力且结果具有主观不一致性,而图像的自动语义标注
能够将图像的视觉特征转化为图像的标注字信息,为用户的使用带来了极大的方便. 本文提出了一
种基于实例的图像自动语义标注方法.-In content2based image retrieval, annotations of image can not only reduce the gap between high2
grade semantics and low2grade visual content, but is also convenient for retrieval. Aswe all know, manual2annota2
tion is time2consuming, strength2consuming, and the annotation resultsmay be subjectively different, while the au2
tomatic image annotation can transform the visual features into annotations. This benefits users a lot. In this paper,
we p ropose an instance2based method for automatic image annotation Platform: |
Size: 481280 |
Author:张三风 |
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Description: matlab实现的图像标注开源代码，极有参考价值。-matlab implementation of image annotation open source code, and a valuable reference. Platform: |
Size: 1287168 |
Author:cui |
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Description: 该文发表于08年，研究了近十年来约300篇图像检索论文，涉及主要的经典理论、图像标注并讨论了相关子领域。该文还讨论了如何利用现有的图像检索技术构建现实中图像系统，是一篇不可多得的图像检索综述。-The article surveys almost 300 key theoretical and empirical contributions in the current
decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of
related subfields.The paper also discusses significant challenges involved in the adaptation of existing image retrieval
techniques to build systems that can be useful in the real world. Platform: |
Size: 2398208 |
Author:chengyu |
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Description: 介绍基于内容图像识别的相关技术，他是检索技术的前沿，目前还处于初级阶段-We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging
technology. While the last decade laid foundation to such promise, it also paved the way for a large number
of new techniques and systems, got many new people involved, and triggered stronger association of weakly
related fields. In this article, we survey almost 300 key theoretical and empirical contributions in the current
decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of
related subfields.We also discuss significant challenges involved in the adaptation of existing image retrieval
techniques to build systems that can be useful in the real world. In retrospect of what has been achieved so
far, we also conjecture what the future may hold for image retrieval research. Platform: |
Size: 2390016 |
Author:武玉阳 |
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Description: 基于Matlab环境开发的多种图像的边缘检测方法，能快速准确的检测出物体的边缘并标注，适用于运动物体的检测与跟踪应用。-Matlab-based environment, the development of a variety of image edge detection method can quickly and accurately detect the edge of the object and annotation applied to moving object detection and tracking applications Platform: |
Size: 40960 |
Author:xinGuan |
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Description: 关于文本处理图像标注的源码
值得收藏LDA代码-Image processing on the text annotation of the source code is worth collection LDA Platform: |
Size: 4446208 |
Author:zhangyun |
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Description: 一个可以手工标定图像区域并实时显示位置的程序，可以很方便的移植为图像标注工具、物体检测工具和对象跟踪工具等。-Manual calibration of an image region and display the location of procedures, can be easily transplanted to image annotation tool, object detection and object tracking tools and other tools. Platform: |
Size: 2048 |
Author:Swai |
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Description: LabelMe is a WEB-based image annotation tool that allows researchers to label images and share the annotations with the rest of the community Platform: |
Size: 10767360 |
Author:Gonzalo |
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Description: SIFT程序，用于图像识别,对于各种变换有很强的鲁棒性，是图像标注方面的精典算法-SIFT program for image recognition, for a variety of transformation has a strong robustness, is the classical algorithm for image annotation terms Platform: |
Size: 49152 |
Author:Spring |
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Description: In the paper, aiming at mass-data aerial-images,
a multipurpose system has been proposed. The system is
based on c/s architecture design mode and supported by
Oracle9i Database Server. On the implementation, C# .net
technology has been adopted. In the process of image
processing, several advanced international algorithms have
been effectively amended and applied, like Retinex, SIFT,
and Pyramid. With the system, many roles have been
accomplished, such as authority management, automatically
data input, image interpretation management, mass data
maintenance, giant image process and annotation etc. Platform: |
Size: 652288 |
Author:孙彬 |
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Description: 这儿是关于图像检索的资料和代码。也有我自己写的程序。关于聚类的
-Here is information on image retrieval and code. Have to write my own program. About Clustering Platform: |
Size: 6782976 |
Author:韩昌刚 |
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Description: PLSA源码，并附有PLSA理论在图像自动标注中的应用，有几篇具有代表性的论文，论文中讨论了PLSA的改进并应用在图像处理中。-PLSA source code, with PLSA theory in automatic image annotation application, some of the representative papers, thesis discusses the PLSA improvement and application in image processing. Platform: |
Size: 10615808 |
Author:王文彬 |
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Description: 一种图像内容混合自动注释方法．HIAM,它具备从网页中挑选与图像概念相关的术语作为图像注释.-An image content hybrid automatic annotation methods. HIAM, it has selected the image from a web page related to the concept of the term as an image annotation. Platform: |
Size: 972800 |
Author:liwei |
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Description: 目前主题回归多模式潜在狄利克雷分配（tr-mmLDA），一个新颖的统计主题模型的图像和视频注释的任务。 在我们的新注释模型的核心是一种新颖的潜变量回归方法来捕获图像或视频特征和注释文本之间的相关性。 我们的方法不是在两个数据模态之间共享一组潜在主题，如在对应关系LDA的公式中，我们的方法引入了回归模块来关联两组主题，其捕获更一般的关联形式，并允许主题的数量 2个数据模态不同。 我们证明tr-mmLDA对2个标准注释数据集的功率：一个5000图像子集的COREL和一个2687图像的LabelMe数据集。 所提出的关联模型示出了与标题茫然性所测量的对应LDA相比改进的性能。-Currently topic regression multi-mode potential Dirichlet Allocation (tr-mmLDA), image and video annotation theme of a novel statistical model task. At the heart of our new annotation model is a novel method to capture latent variable regression correlation of images or video features and comment text. Our approach is not in the data between the two modes share a set of potential topics, such as correspondence between the LDA formula, our method introduces two themes related to the return module, which captures more general form of association, and allow the data relating to the number of two different modes. We prove tr-mmLDA of two standard annotation datasets power: a 5,000-image data sets COREL sub LabelMe and a 2687 image set. Associated with the proposed model shows a title corresponding to the measured loss of improved performance compared to LDA. Platform: |
Size: 1155072 |
Author:祖祖- |
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Search - image annotation