搜索资源列表
LabelMeToolbox
- labelme:a database and webbasetool for image annotation
PLSA
- 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
54564
- 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
LabelMeToolbox
- 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.
19854799LDA
- 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
On_Mouse
- 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.
image-retrive-semantic--annotation
- 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
Recall_precision_F_re1
- 查准率与查全率的计算代码。使用matlab编写完成的。可以计算图像标注的查准率与查全率。-Precision and recall rate calculation code. Prepared using matlab complete. Image annotation can be calculated with precision recall rate.
Anno_word_compare
- 图像标注算法得到的标注词与图像的真实标注的比较文件。可以计算处到底标注对了。还是错了。1代表正确,0代表错误。-Image annotation algorithm annotation word mark and image of the real comparison of files. Can calculate the right place in the end mark. Or wrong. A representative of the right, 0 errors.
Semantic-based-image-annotation
- 基于语义图像注释系统的设计与实现,里面有实现代码-Semantic-based image annotation system design and implementation
Image-recognition-and-location
- 图像识别定位,有分节注释,提供原图和运行结果图-Image recognition and location, there are sections of annotation, provide the original and the running result diagram
Image-region-annotation-semantic
- 区域语义多样性密度的图像标注。图像标注的好论文。-Image region annotation semantic diversity density. Image annotation good paper.
MildML_0.1-Matlab.tar
- 图像标注算法 MildML 的 matlab 代码, 多示例学习标注算法-image annotation algorithm of MildML in matlab code of <Multiple Instance Logistic Discriminant-based Metric Learning (MildML) and Logistic Discriminant-based Metric Learning (LDML)>
SVMs-for-Object-Detection-and-Beyond
- 图像标注中的 基于SVM的图像目标检测算法-image annotation, SVMs for Object Detection and Beyond
plsa.tar
- PLSA,概率潜在语义算法,用于寻找变量之间的隐隐含变量,常用于图像标注、图像检索、计算机文本检索-PLSA, probabilistic latent semantic algorithm for finding faint containing variables between variables, commonly used in image annotation, image retri , computer text retri
sparse
- 这个代码是图像标注中基于图模型的稀疏图算法的代码- 这个代码是图像标注中基于图模型的稀疏图算法的代码 This code is the code image annotation algorithm based on sparse graph graph model of
Image-Annotation
- 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
semisupervised_feature_slection
- This a matlab implementation of the saliency detection method:Exploiting the Entire Feature Space with Sparsity for Automatic Image Annotation. -This is a matlab implementation of the saliency detection method: Exploiting the Entire Feature Space wit
3.0鱼眼标定校正
- 鱼眼 校正 视频拍摄相机标定 和图像的标注形成(Fisheye calibration, video capture, camera calibration and image annotation formation)
Hoglist
- 这是一个在图像处理或图像标注中用matlab提取图像梯度特征的一个程序(This is a program in image processing or image annotation using MATLAB to extract the features of the image gradient)