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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: Image indexing by Shape and Color.
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Size: 61861 |
Author: Ian |
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Description: 将真彩色图像转为索引图像，压缩很有用的图像，希望大家喜欢！-true color image to image indexing, compression useful images, hope you like them!
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Size: 96220 |
Author: 周鹏 |
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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: 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: 75776 |
Author: Alex |
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Description: 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: 69632 |
Author: Alex |
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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: 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: 图像处理检索中一种动态多维索引技Image retrieval in a dynamic multi-dimensional indexing technology-Image retrieval in a dynamic multi-dimensional indexing technology Image retrieval in a dynamic multi-dimensional indexing technology
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Size: 104448 |
Author: wangli |
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Description: 1．分析研究了基于内容的图像检索系统的工作原理，关键技术如：纹
理、形状等图像底层特征的描述方法， 图像间的相似性度量方法，
图像库索引机制等。
2．研究了基于纹理特征的图像检索方法，并提出了一种基于NSCT 变
换的纹理特征提取方法。通过对SAR 图像及相关图像进行NSCT
分解，计算不同尺度不同方向上的系数幅度序列的均值，标准方差
和三阶中心矩，以此构成特征向量来描述图像的纹理。实验证明本
文提出的采用NSCT 算法有较好的特征提取效果，引入三阶中心矩
作为特征向量优于只使用均值和方差的组合特征，提高了图像检索
的查准率。
3．研究了基于形状特征的图像检索方法，并提出一种基于NSCT变换
的形状特征提取方法。把改进型Canny算子和NSCT变换相结合，先
对SAR图像及相关图像运用改进型Canny算子提取边缘，在此基础
上再进行NSCT变换，把图像的形状信息分解到不同尺度不同方向
上，从而保留各个频率分量，减少了图像形状信息的丢失。-1. First we analyze and study the principle of image retrieval system and
key techniques and algorithms of CBIR, such as the low-level feature
descriptions including texture, shape, the similarity measure between
images, the indexing methods and so on
2. Researching on the texture-based image retrieval algorithm, we
propose an algorithm of texture feature extraction based on the
Nonsubsampled Contourlet transform in this thesis. The image is
decomposed by the Nonsubsampled Contourlet transform. The mean,
standard deviation and third central moment of the magnitude of the
Nonsubsampled Contourlet coefficients at different scales and directions
are computed to extract the texture feature vector.Experiment proves the
third central moment added in NSCT arithmetic is overperformded than
only use the mean and standard deviation, and precision ratio has
improved.
3. Researching on the shape-based image retrieval algorithm, we propose
an algorithm of shape feature extraction bas
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Size: 401408 |
Author: 周二牛 |
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Description: indexing image and search by name-indexing image and search by name
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Size: 37888 |
Author: bilal |
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Description: Image Indexing Using Color Correlogram
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Size: 185344 |
Author: aram |
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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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Size: 35961856 |
Author: 猫熊 |
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