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Description: 1. 用户资料中增加中文昵称，QQ号 2. 记录注册/最后登录IP 3. 版主管理 4. 搜索改进，可以支持全文索引和简单的搜索 5. 头像可选保存磁盘 6. 附件可选保存磁盘 7. HTML编辑器的增强 8. 附件下载支持多线程和断点虚传-1. User information increased Chinese nickname, QQ No. 2. Record registration / IP logged last three. Moderator management 4. Improved search, can support full-text indexing and simple search 5. Optional disk image preserved six. Optional disk preserve Annex 7. HTML editor enhanced 8. Annex supports multi-threaded download breakpoint and virtual -
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Size: 6909228 |
Author: savior618 |
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Description: 本程序实现了基于内容的图像检索功能,也就是说如何根据图像的内容从多媒体数据库中索引或发现匹配的图像,所用的方法是傅立叶变换,小波变换等技术.-the program content-based image retrieval functions, in other words how images from the multimedia database indexing or find matching images, the methodology used is the Fourier transform, wavelet technology.
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Size: 20775 |
Author: 陈建文 |
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Description: 清华大学的博士论文面向大规模图像库的索引和检索机制研究-Tsinghua University doctoral dissertation-oriented large-scale image database indexing and retrieval mechanisms
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Size: 634135 |
Author: cailei |
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Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications
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Size: 12192309 |
Author: kankan |
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Description: Image Viewer Applet是一个Java applet，可以显视图像的原始文件及其索引图像。图像加载按多线程方式进行，并可以缓存图像。可以用XML配置GUI组件。可以激活一个幻灯片显视，并显视图像的注释-Image Viewer Applet is a Java applet that can significantly the visual image of the original document and indexing images. Image loading by multiple threads, and can be cached images. XML configuration can be used GUI components. A slide can be activated as significant, and significantly the visual image of the Notes
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Size: 2975011 |
Author: 常葳 |
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Description: 1. 用户资料中增加中文昵称，QQ号 2. 记录注册/最后登录IP 3. 版主管理 4. 搜索改进，可以支持全文索引和简单的搜索 5. 头像可选保存磁盘 6. 附件可选保存磁盘 7. HTML编辑器的增强 8. 附件下载支持多线程和断点虚传-1. User information increased Chinese nickname, QQ No. 2. Record registration/IP logged last three. Moderator management 4. Improved search, can support full-text indexing and simple search 5. Optional disk image preserved six. Optional disk preserve Annex 7. HTML editor enhanced 8. Annex supports multi-threaded download breakpoint and virtual-
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Size: 6908928 |
Author: savior618 |
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Description: 图像处理例程的Visual C++工程在ImageProcessing目录下(本例程仅仅考
虑真彩和灰度图像，对256色索引图像没有考虑)。-Image processing routines of the Visual C++ Works ImageProcessing directory (this routine only consider the true color and grayscale images, indexing images of 256 colors does not take).
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Size: 1200128 |
Author: ylsong |
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Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image sequences* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications
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Size: 12191744 |
Author: kankan |
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Description: Hilbert曲线描述了一种多维空间与一维空间一一映射的方法，在图像处理、多维数据索引等领域有着重要的地位。 但因为高维Hilbert曲线的复杂性， 高维Hilbert的相关算法的研究很少。-Hilbert curve describes a multi-dimensional space with a 11-dimensional space mapping method, image processing, in areas such as multi-dimensional data indexing has an important position. However, because of the high-dimensional Hilbert curve of the complex nature of the related high-dimensional Hilbert little algorithm.
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Size: 1898496 |
Author: 丁霞 |
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Description: 随着多媒体、网络技术的迅速发展，图像信息的应用日益广泛，对规模越来越大的图像数据库、可视信息进行有效的管理成为迫切需要解决的问题，灵活、高效、准确的图像检索策略是解决这一问题的关键技术之一。因此，基于内容的图像检索已成为国内外学者研究的主要热点问题，并取得了不少的成果。
本文主要对当今热门的基于内容的图像检索技术进行了研究，重点对它的算法进行研究。在半年的时间里，通过查阅很多相关的资料，并认真学习了基于内容的图像检索的基本理论，特别是深入研究了颜色直方图理论和累加直方图算法，最后在MATLAB平台下编程实现此系统，该系统可以实现基本图像检索的功能，根据用户输入的样本图像来与图像库中的图像进行特征匹配，然后找出与样本图像距离比较小的若干幅图像，并按照图像之间的距离由小到大的顺序显示给用户。
经过对该系统进行反复的调试运行后，该系统所实现的功能基本达到了设计目标，并且运行良好。当用户提供出所要查询的关键图后，系统就可以从用户提供的图像库中检索到与关键图相似的图片并排序返回给用户，达到了预期效果。
-With the rapid development of the multimedia and the network technology, the image information becomes more widely available, increasing the size of the image database, visual information for effective management of an urgent need to address the problem, flexible, efficient and accurate image retrieval strategy solve this problem one of the key technologies. The researchers are so keen on Content-Based Image Retrieval that they have made much progress.
In this paper, today s popular content-based image retrieval technology is analyzed. And it mainly focuses on the research of its algorithm. In a period of half a year, Through access to relevant information and to seriously study the content-based image retrieval of the basic theory, in particular, in-depth study of the color histogram theory and cumulative histogram algorithm. Finally, this system should be implemented under the platform of the MATLAB by programming. In this system, the basic image retrieval functions can be achieved.
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Size: 380928 |
Author: qichao |
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Description: indexing image free document segmentation
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Size: 164864 |
Author: rach |
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Description: The indexing of an image database is often referred as feature extraction. Mathematically,
a feature is an n-dimensional vector, with its components computed by some image analysis.
The most commonly used visual cues are color, texture, shape, spatial information, and motion
in video. For example, a feature may represent the color information in an image
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Size: 1445888 |
Author: rach |
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Description: 这是本人的论文，发表在去年的计算机安全应用年会上（ACSAC 2010）。它研究的问题是如何快速的对大量虚拟机image打补丁。基本方法是让这种过程不需要启动虚拟机image，另外还利用虚拟机image的索引方法加快这种操作。欢迎评论，欢迎引用。 ：－）-This is my paper, published in last year s Computer Security Applications Conference (ACSAC 2010). It studies the question of how fast large number of virtual machine image can be patched. Basic method is to let this process go ahead without starting the image. Also a virtual machine image indexing method is used to speed up this operation furtherly. Your comments and citation are welcome. :-)
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Size: 312320 |
Author: wu zhou |
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Description: KLT 光流法 GPU的实现，需要显卡，大家赶快下吧，保证高质量-This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
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Size: 708608 |
Author: wangxi |
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Description: 大规模图像检索的代码，matlab与c++混合编程。总结了目前图像检索领域目前主要存在的方法。通过阅读该代码，可以对于经典的“词袋”模型（bow模型）有个具体的了解，但是该代码没有提供前序的特征提取，是直接从对提取好的特征向量聚类开始的，包括了k-means，分层k-means（HKM）聚类，倒排文件的建立和索引等，该代码还提供了局部敏感哈希（LSH）方法。最后，这份代码是下面这篇论文的作者提供的，
Indexing in Large Scale Image Collections: Scaling Properties and Benchmark-This C++/Matlab package implements several algorithms used for large scale
image search. The algorithms are implemented in C++, with an eye on large
scale databases. It can handle millions of images and hundreds of millions
of local features. It has MEX interfaces for Matlab, but can also be used
(with possible future modifications) from Python and directly from C++. It
can also be used for approximate nearest neighbor search, especially using
the Kd-Trees or LSH implementations.
The algorithms can be divided into two broad categories, depending on the
approach taken for image search:
1. Bag of Words:
----------------
The images are represented by histograms of visual words.
It includes algorithms for computing dictionaries:
* K-Means.
* Approximate K-Means (AKM).
* Hierarchical K-Means (HKM).
It also includes algorithms for fast search:
* Inverted File Index.
* Inverted File Index with Extra Information (for example for implementing
Hamming Embedding).
*
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Size: 148480 |
Author: 薛振华 |
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Description: 索引图像，图像转换，数字图象加法，直方图算法-Image indexing, image conversion, image addition, histogram algorithm
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Size: 1024 |
Author: 陈拓 |
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Description: 图像拼接技术可广泛应用于诸多领域，在宇宙空间探测、海底勘测、医学、气象、地质勘测、军事、视频压缩和传输、档案的数字化保存、视频的索引和检索、物体的三维重建、数码相机的超分辨率处理等领域都有广泛应用。
-Image stitching technology can be widely used in many fields, detection in space, seabed survey, medical, meteorological, geological surveying, military, video compression and transmission of files for digital preservation, video indexing and retrieval of three-dimensional reconstruction of the object, a digital camerathe super-resolution processing has a wide range of applications
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Size: 8711168 |
Author: Jason |
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Description: 图像检索，基于颜色直方图的计算，通过欧式距离的计算方法，实现图像检索- image retrieval，image searching，Wavelet Domain Image Indexing Using Directional Gradient Angular Histogram
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Size: 2056192 |
Author: 尼玛 |
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Description: This paper provides a comprehensive survey of the technical achievements in the
research area of image retri , especially content-based image retri , an area that
has been so active and prosperous in the past few years. The survey includes 100+
papers covering the research aspects of image feature representation and extraction,
multidimensional indexing, and system design, three of the fundamental bases of
content-based image retri . Furthermore, based on the state-of-the-art technology
available now and the demand real-world applications, open research issues are
identified and future promising research directions are suggested-This paper provides a comprehensive survey of the technical achievements in the
research area of image retri , especially content-based image retri , an area that
has been so active and prosperous in the past few years. The survey includes 100+
papers covering the research aspects of image feature representation and extraction,
multidimensional indexing, and system design, three of the fundamental bases of
content-based image retri . Furthermore, based on the state-of-the-art technology
available now and the demand real-world applications, open research issues are
identified and future promising research directions are suggested
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Size: 92160 |
Author: silkan |
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Description: 最新的几篇图像检索方面的论文。在检索原理上，无论是基于文本的图像检索还是基于内容的图像检索，主要包括三方面：一方面对用户需求的分析和转化，形成可以检索索引数据库的提问；另一方面，收集和加工图像资源，提取特征，分析并进行标引，建立图像的索引数据库；最后一方面是根据相似度算法，计算用户提问与索引数据库中记录的相似度大小，提取出满足阈值的记录作为结果，按照相似度降序的方式输出。-The latest image retri several papers. On a retri principle, whether it is text-based image retri and content-based image retri , mainly includes three aspects: one user needs analysis and transformation, the formation can be retrieved index question on the other hand, the collection and processing of images resources, extracting features, analysis and indexing, create an image of the index and finally the one hand, according to the similarity algorithm to calculate the size of the user question and the similarity index records in the , extract the records that meet the threshold as a result, according to similarity degree descending output.
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Author: 猫熊 |
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