Search - multimedia data retrieval

Search - multimedia data retrieval - List

[Other resource] srtree DL : 0: 基于内容的多媒体数据检索算法SR-Tree，类似于R*-tree和SS-tree的最近邻搜索 -content-based multimedia data retrieval algorithm SR-Tree, similar to the R *- tree and SS-tree search of the nearest neighbor
Update : 2008-10-13 Size : 20.52kb Publisher : 章明
[Other resource] tuxiangjiansuoweilaizhilu DL : 0: 随着计算机技术和国际互联网的飞速发展，包括图像在内的各种多媒体数据的数量正以惊人的速度增长，人们很容易在多媒体信息海洋中迷失方向，如何从中有效地检索有用信息是一个很关键和迫切的问题。本文回顾了图像检索技术的发展状况，阐述了基于内容的图像检索的关键技术，结合认知心理学模型和智能科学技术，重点探讨了未来图像检索的发展方向和技术路线。 -with computer technology and the Internet's rapid development, include images of various kinds of multimedia data volume is a phenomenal growth rate. it is very easy to multimedia information in the ocean lost direction, How can effectively retrieve useful information is a critical and urgent issue. This paper reviews the image retrieval technology development, elaborated on the content-based image retrieval of key technologies, cognitive psychology and the cognitive model of science and technology, with an emphasis on the image retrieval future direction of development and technical route.
Update : 2008-10-13 Size : 12.66kb Publisher : 耿上
[Other resource] Handbook.Of.Video.Databases.Design.And.Application DL : 0: 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.
Update : 2008-10-13 Size : 34.16mb Publisher : li ming
[AI-NN-PR] srtree DL : 0: 基于内容的多媒体数据检索算法SR-Tree，类似于R*-tree和SS-tree的最近邻搜索 -content-based multimedia data retrieval algorithm SR-Tree, similar to the R*- tree and SS-tree search of the nearest neighbor
Update : 2025-02-17 Size : 20kb Publisher : 章明
[Industry research] tuxiangjiansuoweilaizhilu DL : 0: 随着计算机技术和国际互联网的飞速发展，包括图像在内的各种多媒体数据的数量正以惊人的速度增长，人们很容易在多媒体信息海洋中迷失方向，如何从中有效地检索有用信息是一个很关键和迫切的问题。本文回顾了图像检索技术的发展状况，阐述了基于内容的图像检索的关键技术，结合认知心理学模型和智能科学技术，重点探讨了未来图像检索的发展方向和技术路线。 -with computer technology and the Internet's rapid development, include images of various kinds of multimedia data volume is a phenomenal growth rate. it is very easy to multimedia information in the ocean lost direction, How can effectively retrieve useful information is a critical and urgent issue. This paper reviews the image retrieval technology development, elaborated on the content-based image retrieval of key technologies, cognitive psychology and the cognitive model of science and technology, with an emphasis on the image retrieval future direction of development and technical route.
Update : 2025-02-17 Size : 12kb Publisher : 耿上
[Other] Handbook.Of.Video.Databases.Design.And.Application DL : 0: 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.
Update : 2025-02-17 Size : 34.16mb Publisher : li ming
[Graph program] 1 DL : 0: 对多媒体数据的检索，早期的方法是用文本将多媒体数据进行标识，这显然不是基于多媒体信息本身内容的检索，对多媒体数据中包含的信息是一中及大的浪费；　　基于内容的检索是多媒体数据库的关键技术，如何实现这块技术，是值得商榷的，而最好的方法是使用无需领域知识的检索方法，因此，基于颜色的方法就是实现的关键-Retrieval of multimedia data, the method is to use an early version of the multimedia data labeling, which is not itself based on the content of multimedia information retrieval, multimedia data of the information contained in a Medium and large waste content-based retrieval of multimedia database of key technologies, how to achieve this technology, is open to question, and the best way is to use the domain knowledge without the search method, based on the color way is the key to achieve
Update : 2025-02-17 Size : 2kb Publisher : aiqingmei
[JSP/Java] frame DL : 0: 实现一个多数据源的全文检索系统，包括索引服务器和多个不同类型的查询接口等功能模块，能够处理文档、多媒体文件、数据库等多种数据源，能够使没有全文检索基础知识的开发人员都能够快速的为自己的系统添加基于内容的搜索功能，可以大大节省开发人员的时间，提高开发效率，快速部署应用。 -More than one data source to achieve the full-text retrieval system, including the index server and a number of different types of query interface function module, capable of handling documents, multimedia files, databases and other data sources, to enable full-text search is not based on knowledge of the developers able to quickly add their own systems for content-based search function, developers can greatly save time and improve the development of efficient, rapid deployment applications.
Update : 2025-02-17 Size : 118kb Publisher : him
[Special Effects] AudioHighlight-Detection- DL : 0: 基于音频内容分析的特定场景分析方法论文，用于提取影视片段中的高潮部分-Multimedia information retrieval (MIR) is becoming more and more desirable in recent years, due to the explosively increasing of multimedia data. Hence, multimedia search engines directly operating on the multimedia data are required nowadays.
Update : 2025-02-17 Size : 131kb Publisher : liq
[AI-NN-PR] fulltext DL : 0: Query quality refinement in singular value decomposition to improve genetic algorithms for multimedia data retrieval
Update : 2025-02-17 Size : 2.73mb Publisher : esmail99
[Industry research] mlux-caise2003 DL : 0: Nowadays research and development activities are accompanied by an increasing focus on future user needs in the field of multimedia retrieval. The fast growing of multimedia data repositories is an undeniable fact
Update : 2025-02-17 Size : 117kb Publisher : wafaa