Description: 这是java学习的视频教程,希望朋友们共享,是非常不错的教学材料,谢谢大家的支持。-This is video for student who study java.It s very useful.thank you Platform: |
Size: 27962368 |
Author:史为亮 |
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Description: Research on Video Caption Detection and Extraction. The automatic video annotation is a key module of the video indexing and retrieval system,and the extraction and location of captions are important steps for video annotation.An automatic extraction algorithm for video caption by combining the wavelet transform and the fuzzy clustering neural network in presented.This algorithm is especially applicable to extracting and locating of Chinese captions.The theoretical reachs show that the proposed algorithm can achieve an accuracy in more than 90 in caption detection and location.After the selected characters in the region to identify with OCR technology,OCR recognition accuracy can reach 99 .-Research on Video Caption Detection and Extraction. The automatic video annotation is a key module of the video indexing and retrieval system,and the extraction and location of captions are important steps for video annotation.An automatic extraction algorithm for video caption by combining the wavelet transform and the fuzzy clustering neural network in presented.This algorithm is especially applicable to extracting and locating of Chinese captions.The theoretical reachs show that the proposed algorithm can achieve an accuracy in more than 90 in caption detection and location.After the selected characters in the region to identify with OCR technology,OCR recognition accuracy can reach 99 . Platform: |
Size: 13312 |
Author:段军伟 |
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Description: 本文提出了多个基于半监督学习的自动视频标注方法。通过对几种常见的半监督学习方法,如自训练、互训练以及Co一EM等方法的分析,针对它们(主要是自训练和互训练方法)在视频标注应用中的局限,在提高分类的准确性和模型更新等方面做了深入研究,提出了相应的改进措施。
-This paper presents a number of semi-supervised learning-based automatic video annotation methods. Through several common semi-supervised learning methods, such as self-training, cross training, and Co an analysis of EM and other methods for them (mainly from the training and cross-training methods) in the video annotation applications, the limitations in enhancing the classification accuracy and model updating have done a thorough study and submit a corresponding improvement measures. Platform: |
Size: 5111808 |
Author:陈怡 |
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Description: 用来对图像进行分类。Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009,Li-Jia Li, Richard Socher and Li Fei-Fei. -Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009,Li-Jia Li, Richard Socher and Li Fei-Fei. Platform: |
Size: 31778816 |
Author:qinlei |
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Description: 实现的类可以将每个图片转成hsi颜色空间的图片并显示。在main函数中实现一个文件夹下对于视频的递归遍历,将每个视频中的每一帧取出,进行变换,最后将每个视频中所有帧的亮度值(hsi空间中的i)化成折线图输出并存储为图片,在亮度变化特别大的点用圆点圈出,图片存在视频所在目录下。由于要实现对视频中所有帧的处理,为了加快速度因此单独的将每幅图转成hsi之后现实出来的那三个窗口被注释掉了(否则会现),需要的去掉hsi.cpp后面的那几行注释符号就可以。想要转换颜色空间的,只需要单独用的可以只使用hsi.cpp和hsi.h文件就行。注释很多,代码分段和调用都清晰的注释了,很容易看懂。-Implementation class for each image can be converted to hsi color control picture and reality. In the main function to implement a folder for the video of recursive traversal, each video will be removed in each frame, transform, and finally all the frames in each video brightness value (hsi space i) into a line chart output and stored as a picture. Brightness changes, especially in large point circle with a dot, there is the video where the directory. Due to the implementation of all the frames of the video processing, in order to speed up so individual will convert each image after the reality hsi out the three windows are commented out (otherwise they will now), need to remove the back hsi.cpp Note that a few lines symbols can be. Want to convert color space, only a single use can only use hsi.cpp and hsi.h file on the line. Many comments, the code calls a clear segmentation and annotation, and easy to understand.
Platform: |
Size: 4312064 |
Author:WingLer |
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Description: 该书用40多个实例覆盖Ajax 技术应用的典型场景,用完整的流程图表示函数的调用关系,并指明了实例可扩展或可改进的地方。书中的实例相对独立,可从任何一个开始阅读;该书还讲解了一批Ajax的第三方组件,拓展了读者的知识面。其中的代码规范,层次清楚,注释丰富,若配合视频演示光盘进行学习,更易于读者对Ajax的理解。-The book covered with more than 40 instances of the application of Ajax technology typical scenario, with the complete function call flow diagram that relationship, and pointed out the example can be extended or areas of improvement. Examples of independent book, start reading from any one book also explained a number of third-party Ajax components, expanding the reader' s knowledge. The code specification, the level of clear, rich annotation, if the disc with the video presentation to learn, easier to the reader' s understanding of Ajax. Platform: |
Size: 175104 |
Author:兰家胜 |
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Description: 是关于spring3.0的新特性的,基于XML注解,是尚学堂马士兵的最新视频的其中的第一个例子的源码。-
Is the source of the new features on the spring3.0 XML-based annotation, Shang Xuetang Mashi Bing s latest video of one of the first example. Platform: |
Size: 9216 |
Author:fbgfy |
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Description: In this research two automatic video annotation techniques are considered. The first technique uses ontology to reduce the semantic gap during video retrieval and other performs a group based image retrieval using video files. The proposed algorithm uses GIR algorithm to create similar image group. From this refined set of images, SIFT features are extracted and the steps used by ASVA algorithm is performed to annotate the video in a semantic fashion. The Automatic Semantic based Video Annotation algorithm performs annotation in three steps. The first step calculates the video similarity using SIFT features, sentence and synonym analysis is performed in the second to find similar meaning annotations and finally the conjunction of the sentences are analyzed to increase the certainty of each annotation using Concept Net. Platform: |
Size: 697344 |
Author:Ambika |
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Description: H.264编解码的CUDA实现,并行加速算法,内部实现了H.264视频编解码的CUDA实现,能够编译通过,已经过测试,并且还添加了注释信息。-CUDA H.264 codec implementation, parallel acceleration algorithms, the internal implementation of the H.264 video codec CUDA realization, to compile, has been tested, and also adds annotation information. Platform: |
Size: 2614272 |
Author:佘云峰 |
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Description: Query by content, or content-based retri has recently been proposed as
an alternative to text-based retri for media such as images, video and audio.
Text-based retri is no longer appropriate for indexing such media, for several
reasons. Firstly, keyword annotation is labor intensive, and it is not even possible
when large sets of images are to be indexed. Secondly, these annotations are
drawn a predefined set of keywords which cannot cover all possible concepts
images may represent. Finally, keywords assignment is subjective to the person
making it. Therefore, content-based image retri (CBIR) systems propose to
index the media documents based on features extracted their content rather
than by textual annotations. For still images, these features can be color, shape,
texture, objects layout, edge direction, etc.-Query by content, or content-based retri has recently been proposed as
an alternative to text-based retri for media such as images, video and audio.
Text-based retri is no longer appropriate for indexing such media, for several
reasons. Firstly, keyword annotation is labor intensive, and it is not even possible
when large sets of images are to be indexed. Secondly, these annotations are
drawn a predefined set of keywords which cannot cover all possible concepts
images may represent. Finally, keywords assignment is subjective to the person
making it. Therefore, content-based image retri (CBIR) systems propose to
index the media documents based on features extracted their content rather
than by textual annotations. For still images, these features can be color, shape,
texture, objects layout, edge direction, etc. Platform: |
Size: 2715648 |
Author:silkan_h |
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Description: 采用ActiveX插件技术,无需安装。实现了将Word, Excel融入IE浏览器中,更方便用户录入,而且有版本控制、痕迹保留,手写签名、电子印章、显示或隐藏批注等功能,同时支持预定模板和生成网络上的HTML功能,完整功能
主要功能表:
1 录入支持功能 支持键盘、各种手写笔[汉王、蒙恬、联想] 等汉字录入方式。
2 文档批注功能 支持文档批注,支持文字、语音、录影等多媒体批注,可以在不写字的情况下,实现批注。
3 痕迹保留功能 支持标准痕迹保留格式,即使文档脱离iWebOffice2003环境,也能保证痕迹的正确显示。 -Using ActiveX plug-in technology, no need to install. The word, excel into IE browser, more convenient for users to input, and version control, retain traces of a handwritten signature, electronic seal, display or hide the annotation etc., also support HTML function of predetermined templates and generate network, complete function
Main function table:
1 input support function keyboard and stylus, a variety of Hanvon [Lenovo] Meng Tian, etc. Chinese characters input mode.
2 the document annotation function supports the document annotation, supports the text, the voice, the video and so on the multimedia annotation, may in not write the situation, realizes the annotation.
3 traces retain the function to support the standard trace retention format, even if the document the iWebOffice2003 environment, but also to ensure the correct display of traces. Platform: |
Size: 1845248 |
Author:zhaoxfpudn |
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Description: 采用ActiveX插件技术,无需安装。实现了将Word, Excel融入IE浏览器中,更方便用户录入,而且有版本控制、痕迹保留,手写签名、电子印章、显示或隐藏批注等功能,同时支持预定模板和生成网络上的HTML功能,完整功能
主要功能表:
1 录入支持功能 支持键盘、各种手写笔[汉王、蒙恬、联想] 等汉字录入方式。
2 文档批注功能 支持文档批注,支持文字、语音、录影等多媒体批注,可以在不写字的情况下,实现批注。
3 痕迹保留功能 支持标准痕迹保留格式,即使文档脱离iWebOffice2003环境,也能保证痕迹的正确显示。 -Using ActiveX plug-in technology, no need to install. The word, excel into IE browser, more convenient for users to input, and version control, retain traces of a handwritten signature, electronic seal, display or hide the annotation etc., also support HTML function of predetermined templates and generate network, complete function
Main function table:
1 input support function keyboard and stylus, a variety of Hanvon [Lenovo] Meng Tian, etc. Chinese characters input mode.
2 the document annotation function supports the document annotation, supports the text, the voice, the video and so on the multimedia annotation, may in not write the situation, realizes the annotation.
3 traces retain the function to support the standard trace retention format, even if the document the iWebOffice2003 environment, but also to ensure the correct display of traces. Platform: |
Size: 1669120 |
Author:李其干 |
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Description: 详细介绍 - [ Android项目源码每天一张精选妹纸 ]
注意:本项目使用android studio开发,eclipse可能无法直接导入。
每天自动更新一张精选妹纸图、一个小视频、一系列精选程序猿干货(周末不更新)。数据来自代码家的干货网站:http://gank.io
项目主页:https://github.com/drakeet/Meizhi
本项目包含以下知识点:
Butter Knife:通过注解绑定 View
Glide 图片加载
Realm 数据库与 Retrofit RESTful API 框架的配合
RecyclerView 及 StaggeredGridLayoutManager 瀑布流布局-Detailed- [Android project source code a day of the sister paper]
Note: this project uses studio Android development, eclipse may not be able to directly import.
Automatic updates every day a sister paper map, a small video, a series of selected programs (weekend update) ape dry cargo. Dry cargo data home website code: http://gank.io
Project home page: https://github.com/drakeet/Meizhi
This project includes the following knowledge points:
Knife Butter: by annotation binding View
Glide image loading
Coordination of Realm and RESTful API Retrofit framework
RecyclerView and StaggeredGridLayoutManager waterfall flow layout Platform: |
Size: 5419008 |
Author:王灿 |
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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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Description: 可以对视频文件进行手动图像标注及标记,手动画出矩形框并输出到txt文件,包括帧数、标记序号、坐标值。(Can perform manual image annotation and marking of video files, hand animation rectangular box and output to TXT file, including frames, marker number, coordinates.) Platform: |
Size: 849920 |
Author:坦然的人
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