搜索资源列表
imgSeek-0.8.6
- A photo collection manager with content-based query.
Emerging.Topics.in.Computer.Vision
- 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
基于内容的图像检索
- 基于内容的图像检索，里面也包含了图像语义方面的内有，比如关键字的提取 特征向量的提取等待,Content-based Image Retrieval, which also contains images, there are semantic aspects, such as keyword extraction extraction eigenvector wait
gift-0.1.14.tar.gz
- The GIFT (the GNU Image-Finding Tool) is a Content Based Image Retrieval System (CBIRS: http://en.wikipedia.org/wiki/CBIR). It enables you to do Query By Example (QBE: http://en.wikipedia.org/wiki/QBE) on images, giving you the opportunity to improve
KeyframeExtracting.rar
- 本源码为利用光流法提取视频关键帧的matlab程序实现，也是本文基于内容的视频检索的论文所写的代码，需要的可以参考！,The source for the use of optical flow extracted keyframe Videos matlab program implementation, but also this article content-based video retrieval dissertation written code, can refer to the
实现基于内容的图像检索
- JPG图像检索系统，实现基于内容的图像检索,JPG image retrieval system for content-based image retrieval
code
- Content based video retrieval to develop a inference engine to detect same object across multiple cameras.This is done through histogram comparison and tested for accuracy.
jease-2.4.1
- Jease是一个开源的框架，用来简化用Java开发基于内容和数据库驱动的Web应用。另外 Jease 提供了一个完全 Ajax 驱动的内容管理系统作为一个最佳实践来带你快速学习 Jease。-Jease is an open source framework to simplify Java development with content-based and database-driven Web applications. In addition Jease provides a compl
SearchTest.tar
- search 框架的实例，根据以前搜索的内容，再次搜索时进行提示-search framework for instance, the content based on previous searches, when prompted to search again
CBIR
- c++实现的基于内容的图像检索，支持bmp格式的图像，按相似度排序。-c implementation of content-based image retrieval, supports bmp format images, sorted by similarity.
code
- 基于内容的图像识别特征提取部分——k-均值聚类分割获取形状等信息-Content-based image recognition, feature extraction part of- k-means clustering segmentation information for shape
CBIRpca
- 基于内容的图像检索技术，包含颜色特征及纹理特征matlab程序，实验结果-Content-based image retrieval, color features and texture features including matlab program, the experimental results
CBIR
- 介绍一种基于内容的医学图像检索方案,是我们当初做的一个方案。-AN Introduction about Content-Based Medical Image Retrieval
39709592CBIR-matlab
- 基于内容的图像检索主颜色直方图的提取，从图像的获取到直方图现实到特征的提取，最后根据图像检索出与所给图像最相似的图像。-Content-based image retrieval dominant color histogram extracted from the images to get to the real histogram feature extraction, the last based on the image to retrieve the image with the m
jeecms-2.0.0-beta-src
- JEECSM是JavaEE版网站管理系统（Java Enterprise Edition Content Manage System）的简称。 基于java技术开发，继承其强大、稳定、安全、高效、跨平台等多方面的优点 采用hibernate3+struts2+spring2+freemarker主流技术架构 懂html就能建站，提供最便利、合理的使用方式 强大、灵活的标签，用户自定义显示内容和显示方式 在设计上自身预先做了搜索引擎优化,增强对搜索引擎的友好性
CBIR
- 本源码是用C++编写的基于内容的图像检索，采用形状、颜色、纹理三个特征的加权值作为特征向量。-The source code is written in c++ of content-based image retrieval, the shape, color, texture three characteristics of the weighted value as the characteristic vector.
CBIR_Relevance
- 该代码为基于内容的图像检索系统CBIR中相关反馈的代码，相关反馈可以提高检索的查全查准率-The code is content-based image retrieval system, relevance feedback CBIR in the code, relevance feedback can improve the retrieval recall precision
segmeeeeeeeeeeeeeee.tar
- A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (includi
SA_TSP
- matlabf非常好基于Contourlet变换的水印算法.与小波变换不同的是Contourlet变换采用类似于线段（contoursegment的基得到一种多分辨、局部化、方向性的图像表示。水印信号通过基于内容的乘性方案加载到Contourlet 变换系数-matlabf very good Contourlet Transform-based watermarking algorithm. and wavelet transform is different Contourlet trans
ImageSemanticSegmentation
- 随着数字图象技术、宽带网络技术和数字存储设备技术的发展，在网络上存储、传输大规模分布式数字图象库 成为可能，因此研究基于内容的图象检索技术成为近几年的热点。实现基于内容的图象检索系统的关键问题是实现图象 的语义分割。该文分六类对现有的图象语义分割技术进行了全面的总结，为进一步研究基于内容的图象检索技术奠定了 基础。-With the digital image technology, broadband networks and digital storage device tech