Location:
Search - video indexing
Search list
Description: ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
-ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
Platform: |
Size: 2495488 |
Author: 海心 |
Hits:
Description: Samba local network search engine. This is a engine indexer. Using Mysql as main storage of information. Have functions of multimedia extended index like merging same video files and id3 tag indexing. Have computer online status checking.
Platform: |
Size: 20480 |
Author: Oleg |
Hits:
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.
Platform: |
Size: 75776 |
Author: Alex |
Hits:
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.
Platform: |
Size: 49152 |
Author: Alex |
Hits:
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.
Platform: |
Size: 69632 |
Author: Alex |
Hits:
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 |
Hits:
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
Platform: |
Size: 1445888 |
Author: rach |
Hits:
Description: 一套基于ZIP/霍夫曼技术的智能数据存储技术试验源代码，这里所谓的智能存储技术大约类似一个文件包,你可以添加任意格式的文件进行存储（使用AddUpdateItem函数）和从文件包中删除（使用DeleteItem函数).
你可以选择 zlib/huffman压缩模式进行压缩存储或者不使用压缩进行存储.
它采用了文件索引技术因此可以获得更好的性能,这个就是叫真空存储技术，即 VaccumStorage()函数.
而且，最重要的是，它使用序列化小节（块）技术来进行处理 CRC 和压缩大文件.
适合不需要使用数据库存储的网友，可以存储一些图片，文字甚至视频流媒体等格式。小巧方便。不使用其他ActiveX控件。
使用时先把Common\TLBs 目录中的oleguids3.tlb以及WithCompression\Test 目录下的zlib.dll 两个文件拷贝到\system32文件夹下即可打开TestWithCompression.vbg工程。-Based on a set of ZIP/Hoffman, Intelligent data storage technology test source code, here about the so-called intelligent storage technology similar to a package, you can add any file format for storage (using AddUpdateItem function) and remove the package from the file (using DeleteItem function).
You can choose zlib/huffman compression compression compression is not used for storage or storage.
It uses the document indexing technology so you can get better performance, this is called the vacuum storage technology, which VaccumStorage () function.
And, most importantly, it uses the sequence of the section (block) processing technology to compress large files and CRC.
For database storage of users do not need to store some pictures, text and even streaming video and other formats. Small and convenient. Do not use other ActiveX controls.
When used first Common \ TLBs directory oleguids3.tlb and WithCompression \ Test directory zlib.dll two files copied to the \ system32 f
Platform: |
Size: 434176 |
Author: yyzzhh911 |
Hits:
Description: 连杆机构的运动分析
共轭分度凸轮机构设计
连杆机构的运动精度综合
连杆机构的运动精度综合-2
-Linkage analysis of conjugate movement of indexing cam mechanism design movement precision linkage linkage movement precision integrated comprehensive-2
Platform: |
Size: 9216 |
Author: 黄启林 |
Hits:
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.
Platform: |
Size: 708608 |
Author: wangxi |
Hits:
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
Platform: |
Size: 8711168 |
Author: Jason |
Hits:
Description: 做为独立主机的用户有开发基础的程序员，按照以下步骤操作：
做为独立主机的用户，您可以直接让托管商为您打的服务器系统和配置。所需软件提供如下：win2008 操作系统IIS、mysql 5.1.5.8[或最新版]、framework3.5 。 安装只需要4步。首先将
1、建立视频索引库：在大空间的盘符下建立：视频搜索/index 【索引库】如：F:/ 视频搜索/index
2、安装分词服务系统fenciserver3.1
双击： 安装分词服务器.bat 安装即可，然后点击：fenciserver.exe
分词服务器开始运行。
3、安装视频索引系统。
-Development of programmers based on the user as an independent host, follow these steps: as a user of an independent host, you can direct the custodian to fight for your server system and configuration. The required software are as follows: win2008 operating system, the IIS, mysql 5.1.5.8 [latest version], framework3.5. The installation only needs to step 4. First, the establishment of video indexing library: under the letter of the large space: Video Search/index [index library, such as: the F :/ Video search/index 2, the installation fenciserver3.1 double-click the word service system: Install the server of the word. bat can be installed, and then click: fenciserver.exe word server is running. 3, the installation of video indexing system.
Platform: |
Size: 39238656 |
Author: 韩超 |
Hits:
Description: 一篇关于视频检索与索引的综述文章，详细的介绍了视频检索的发展历程，主要技术，和未来的研究方向-A review article on video retrieval and indexing, detailed introduced the development process of video retrieval, main technical, and directions for future research
Platform: |
Size: 367616 |
Author: 曹英馨 |
Hits:
Description: In Year 2011, Sankirti S. performed a work," Video OCR for Video Indexing". Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR.-In Year 2011, Sankirti S. performed a work," Video OCR for Video Indexing". Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR.
Platform: |
Size: 439296 |
Author: payal |
Hits:
Description: 以色列监控视频摘要论文一篇,经典无需多说-Nonchronological Video Synopsis and Indexing
Platform: |
Size: 3118080 |
Author: 邹钦 |
Hits:
Description: Robotic systems have brought significant socioeconomic impacts to human lives over the past few decades. Cloud Robotics is the latest existing idea tapping into the Internet s vast and rapidly expanding network of computing and data resources. Cloud Robotics has the potential to significantly improve robot performance by indexing libraries of annotated image models to provide semantic information, e.g., CAD models and material properties to facilitate grasping, providing access to massively parallel computation, e.g., video processing, sample-based uncertainty modeling and motion planning, and statistical robot learning, supporting on-demand sharing of data, software, trajectories, and dynamic control policies, obtaining call-center human guidance when all else fails. Cloud computing can enable cheaper, lighter, “smarter” robots. The infrastructure exists and is rapidly evolving in terms of performance and accessibility-Robotic systems have brought significant socioeconomic impacts to human lives over the past few decades. Cloud Robotics is the latest existing idea tapping into the Internet s vast and rapidly expanding network of computing and data resources. Cloud Robotics has the potential to significantly improve robot performance by indexing libraries of annotated image models to provide semantic information, e.g., CAD models and material properties to facilitate grasping, providing access to massively parallel computation, e.g., video processing, sample-based uncertainty modeling and motion planning, and statistical robot learning, supporting on-demand sharing of data, software, trajectories, and dynamic control policies, obtaining call-center human guidance when all else fails. Cloud computing can enable cheaper, lighter, “smarter” robots. The infrastructure exists and is rapidly evolving in terms of performance and accessibility
Platform: |
Size: 576512 |
Author: suhail |
Hits:
Description: 该RTSP播放器实现了主流RTSP播放器的基本功能，并有所拓展：
1、RTSP 标准码流（包括音视频）的实时预览播放；
2、网络数据流的断线重连；
3、对存储文件的解码播放以及控制；
4、音视频码流的同步存储，文件存储时以当前系统的时间戳作为音视频 播放时的索引，方便在文件播放时以时间戳作为检索条件来点播文件；
5、视频播放格式上支持 h.264、mpeg4、mpeg2 等，音频播放格式上支 持 AAC、AMR、G711 等；
6、视频抓拍；
7、视频显示角度旋转；
8、画面填充控制显示比例。-The RTSP player to achieve the basic functions of the mainstream RTSP player, and has expanded: 1, RTSP standard streams (including audio and video), real-time preview playback 2, the network data flow break even heavy 3, the storage file decoding playback and control 4, synchronized audio and video streams stored in the current system timestamp as a file storage indexing of audio and video playback, convenient and time stamp when the file is played back on demand as a search condition file 5 , supports h.264, mpeg4, mpeg2, and support for video playback format audio playback formats AAC, AMR, G711, etc. 6, video capture 7, the video display angle rotation 8, filling the screen control display ratio.
Platform: |
Size: 10086400 |
Author: 梁聪 |
Hits:
Description: Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate.-Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate.
Platform: |
Size: 395264 |
Author: saeed |
Hits:
Description: 该RTSP播放器实现了主流RTSP播放器的基本功能，并有所拓展：
1、RTSP 标准码流（包括音视频）的实时预览播放；
2、网络数据流的断线重连；
3、对存储文件的解码播放以及控制；
4、音视频码流的同步存储，文件存储时以当前系统的时间戳作为音视频 播放时的索引，方便在文件播放时以时间戳作为检索条件来点播文件；
5、视频播放格式上支持 h.264、mpeg4、mpeg2 等，音频播放格式上支 持 AAC、AMR、G711 等；
6、视频抓拍；
7、视频显示角度旋转；
8、画面填充控制显示比例。-The RTSP player to achieve the basic functions of the mainstream RTSP player, and has expanded: 1, RTSP standard streams (including audio and video), real-time preview playback 2, heavy flow of network data break even 3, the storage file decoding playback and control 4, synchronized audio and video streams stored in the current system timestamp as a file storage indexing of audio and video playback, convenient and time stamp when the file is played back on demand as a search condition file 5 , supports h.264, mpeg4, mpeg2, and support for video playback format audio playback formats AAC, AMR, G711, etc. 6, video capture 7, the video display angle rotation 8, filling the screen control display ratio.
Platform: |
Size: 5277696 |
Author: 陈星 |
Hits:
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 |
Hits: