Description: This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. It provides the tools to help overcome the problems of video storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines. Topics include video segmentation and summarization, archiving and retrieval, and modeling and representation.-This handbook presents a thorough overvie w in 45 chapters from more than 100 renowned expe rts in the field. It provides the tools to help ov ercome the problems of video storage. cataloging, and retrieval. by exploring content standardization and othe r content classification and analysis methods . The challenge of these complex problems make t his book a must-have for video database practit ioners in the fields of image and video processi Vi, computer vision, multimedia systems, data mining. and many other diverse disciplines. Topics inc lude video segmentation and summarization. archiving and retrieval. and modeling and representation. Platform: |
Size: 35815907 |
Author:li ming |
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Description: This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. It provides the tools to help overcome the problems of video storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines. Topics include video segmentation and summarization, archiving and retrieval, and modeling and representation.-This handbook presents a thorough overvie w in 45 chapters from more than 100 renowned expe rts in the field. It provides the tools to help ov ercome the problems of video storage. cataloging, and retrieval. by exploring content standardization and othe r content classification and analysis methods . The challenge of these complex problems make t his book a must-have for video database practit ioners in the fields of image and video processi Vi, computer vision, multimedia systems, data mining. and many other diverse disciplines. Topics inc lude video segmentation and summarization. archiving and retrieval. and modeling and representation. Platform: |
Size: 35815424 |
Author:li ming |
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Description: 开始检索”调用DoBrowse--- 功能：用于管理ListBox(1)首先取出处理的起始目录路径
(2)调用SiapCariRecursive来对目录中各文件进行处理,这里面又分好几层关系。
（a）锁定一些暂时不用的按键，使在检索处理过程中，不让用户操作，乱按。
（b）调用CariRecursive函数：功能是分别提取目录中各个文件，并进行计算颜色直方图。这个函数又分下面几层：
(i)循环递归调用CariRecursive，找到所选目录下是否有子目录，有子目录进入子目录先处理
(ii)调用ScanFile，提取子目录中的一个个文件。
(iii)上面一步中，每找到一个文件，就调用Madhosi，进行计算颜色直方图（这部分与第1大点中，对关键图处理过程一样），并与关键图的颜色直方图比较，得到相似度，最后在把相似度保存到ListBox中去，同时对应填入对应的文件路径。
(iv)循环至(i)直到目录中所有文件都处理过，才结束CauRecursive,退出该函数。
(3)根据ListBox里面的内容，调整ListBox的宽度。按相似度距离，按从小到大把各文件排列在ListBox中。-Due to the development of multimedia technology and fast expanding of visual information, an effective method is sharply needed to manage and retrieve visual information. So, the Content Based Image and Video Retrieval technology comes into being and become an important research area in multimedia retrieval and image processing.
This thesis focuses on the application of Content based image retrieval (CBIR) technology in defense information technology area. The research on this topic is of great significance in theory and practice. The main work of this thesis lies on:
This thesis makes extensive and deep research in CBIR technology. The status quo and key technologies are introduced, the bottle-neck and development trend are also discussed. The thesis analyzes the application requirement for CBIR technology in defense IT area, and proposes a reasonable application model. The experimental results show that the method is reasonably better than existing methods.
Keywords: content-base Platform: |
Size: 5671936 |
Author:李明福 |
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Description: 多媒体技术的发展和视觉信息的飞速膨胀迫切需要对视觉信息资源的有效管理和检索。由此，基于内容的图像和视频检索技术得到了越来越多的重视，成为了多媒体信息检索和图像处理领域中的重要研究方向。CBIR技术将对大规模图像信息的管理和访问提供有力支持。
本文这种介绍了内容图像检索的灰度特征实现方法，具有理论意义和实际应用价值。针对基于内容图像检索技术进行了研究，介绍了其研究现状和关键技术，讨论了其技术瓶颈和发展趋势。共生矩阵法，是对图像的所有像元进行统计调查，以便描述其灰度分布的一种方法。分析了这种基于广义图像灰度共生矩阵的图像检索方法，该方法首先将原图像作平滑处理得到平滑图像，然后将原图像和平滑图像组合得到广义图像灰度共生矩阵，提取该矩阵的统计特征量，最后将该统计量组成归一化向量用以检索。
实验结果表明，本方法的效果要优于单纯的灰度共生矩阵法。在对相似图像检索时，该算法与基于共生矩阵的经典算法相当，在面临同一图像大小显著改变或发生旋转的情况下，该算法明显优于经典算法。相比较而言，该算法提高了检索的有效性。
-The development of multimedia technology and the expansion of visual information，which cries for the effective management and retrieval methods of visual information. Thus, the image and video searching technology based on content is gaining more and more attention to become a multimedia information retrieval and image processing in the field of important research direction. The technology of CBIR provides effective supports for the management and access of extensive image information.
This paper introduced the content of the image retrieval method characteristics of gray, with theoretical and practical value. This paper does an extensive and in-depth study of technology based on content image retrieval to, presenting their research status and key technologies, discussing its development trends and technological bottlenecks. Co-occurrence matrix of all the pixel image survey has been conducted in order to describe a method of distribution of gray. This paper analyses this broad-based Platform: |
Size: 570368 |
Author:qichao |
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Description: Multimedia.Image.and.Video.Processing，这是一本多媒体图像和视频处理的电子书，内容相当丰富，对于做图像和视频的有很好的参考价值，内容涉及图像处理，多媒体编码和传输，图像检索，运动估计，多媒体远程教学等。-Multimedia.Image.and.Video.Processing, this is a multimedia image and video processing of e-books, the contents of a rich variety of images and video of doing a very good reference value, covering image processing, multimedia coding and transmission, image retrieval, motion estimation, multi-media distance teaching. Platform: |
Size: 11716608 |
Author:zhangzheng |
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Description: 使用Visual C++编写的基于opencv的多媒体图像处理和视频处理的对话框程序，实现hough变换、直方图均衡化、canny检测等图像处理及截取视频等视频处理功能。-Use Visual c++ written opencv multimedia based on image processing and video processing dialog programs ，achieve histogram equalization hough transform, canny detection, image processing, interception video video processing functions such as. Platform: |
Size: 17379328 |
Author:康萌萌 |
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Description: In Year 2011, Khaoula Elagouni performed a work," A Comprehensive Neural-Based Approach for Text Recognition in Videos using Natural Language Processing". This work aims at helping multimedia content understanding by deriving benefit from textual clues embedded in digital videos. For this, Author developed a complete video Optical Character Recognition system (OCR), specifically adapted to detect and recognize embedded texts in videos. Based on a neural approach, this new method outperforms related work, especially in terms of robustness to style and size variabilities, to background complexity and to low resolution of the image. Platform: |
Size: 1711104 |
Author:payal |
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Description: 图像和视频压缩多媒体工程的基本算法和一些标准，在数字图像处理方面有重要应用。-Image and video compression, multimedia project of the basic algorithms and some standard, has important application in digital image processing.
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Size: 6666240 |
Author:范金星 |
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Description: 随着通信技术与多媒体技术的飞速发展,以多媒体视频为主的应用得到了广阔的发展,在这些视频应用领域中,若想进行图像处理就要先进行视频捕获.鉴于此,文章对Windows系统下的VFW体系结构进行了论述、给出了视频开发的相关Windows API函数,分析了视频捕获的工作流程 并用VB来设计和实现视频捕捉程序,具体的给出了程序的代码,最后给出了测试结果,证明是可以捕捉的-As communications technology and the rapid development of multimedia technology, multimedia video-based applications in order to get a broad development in these video applications in image processing is necessary if you want to capture the video first view of this, the article on Windows systems the VFW architecture were discussed, given the development of related video Windows API functions, analyzes video capture workflow and using VB to design and implement video capture process, specific procedures are given the code, Finally the test results, that can be captured Platform: |
Size: 4107264 |
Author:pw |
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Description: 多媒体处理是用来视频图像处理，它与人们的生产生活息息相关，是全球人们获取和交换信息的主要来源，高清晰度的视频在各个领域的应用越来越广，视频处理技术行业不断前行-Multimedia processing is used for video image processing, it is closely related to people s production and life, is the world s people to access and exchange of information, the major source of high definition video is more and more widely used in various fields, video processing industry to go on Platform: |
Size: 6827008 |
Author:闫超 |
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Description: visual search: multimedia signal processing and image and video processing by matlab Platform: |
Size: 3009536 |
Author:hosseinvand989 |
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Search - Multimedia Image and Video Processing