共查询到17条相似文献,搜索用时 265 毫秒
1.
2.
3.
4.
5.
本文综述了基于语义的视频检索的研究现状,以帮助未来的研究人员了解基于语义的视频检索领域中可用的技术,视频检索系统的产生是为了在互联网或数据库中的大量视频数据集中找到用户想要查询的视频.本文对基于语义的视频检索过程进行了说明与讨论,本文还对基于语义的视频检索中,解决语义鸿沟这一主要问题的相关技术进行了综述.语义鸿沟的形成是因为从视频内容中提取的低层特征与现实世界中用户对这些特征的认知存在差异,将视频内容的低层特征转化为高层的语义概念是一个备受关注的研究课题. 相似文献
6.
辅助决策的新闻视频挖掘 总被引:1,自引:0,他引:1
新闻视频是一种丰富的信息源,对其进行有效的挖掘将有力地辅助决策分析。本文从多媒体信息系统的角度出发,深入思考了辅助决策的新闻视频的挖掘内容和挖掘方法,主要解决了以下两个问题:即挖掘什么和如何去挖的问题。指出辅助决策的新闻视频挖掘的内容应包括结构挖掘、语义事件挖掘、趋势挖掘、关联规则挖掘以及决策者兴趣点挖掘等等;并以一个具体的例子来说明新闻视频挖掘的各种方法,如结构的分割、语义事件的探测、新闻故事重要度的判定、专题的统计分析以及模式的可视化等等。本文较好地实现了新闻视频的内容分析与挖掘的结合,初步的实验证明了提出的新闻视频挖掘方法在辅助决策方面具有有效性。 相似文献
7.
8.
视频检索与挖掘是当前计算机视觉、视频分析及知识挖掘等领域的研究热点之一,在现实生活中有广泛的应用前景。基于内容的视频检索与挖掘是一种自动、智能的多媒体信息检索技术,借助于最新数学分析理论与工具,对视频数据进行建模,在此基础上进行智能分析处理的一项技术。本文从分析基于内容的视频检索与挖掘系统的结构和原理出发,详细的讨论了视频检索与挖掘的关键技术:镜头检测与关键帧提取,并对新的国际标准MPEG及其框架下的视频检索与挖掘技术作了介绍,最后对视频检索与挖掘的前景与发展方向作了展望。 相似文献
9.
文本挖掘技术研究及其在信息检索中的应用 总被引:1,自引:0,他引:1
文本挖掘是一个对具有丰富语义的文本进行分析从而理解其所包含的内容和意义的过程,已经成为数据挖掘中一个日益流行而重要的研究领域。给出了文本挖掘的定义和框架,对文本挖掘中预处理、文本摘要、文本分类、聚类、关联分析及可视化技术进行了详尽的分析,并归纳了最新的研究进展,指出了文本挖掘在信息检索中的作用。 相似文献
10.
11.
12.
13.
14.
15.
H.T. Pao Y.H. Chen P.S. Lai Y.Y. Xu Hsin-Chia Fu 《Expert systems with applications》2008,35(3):1444-1450
This paper addresses an integrated information mining techniques for broadcasting TV-news. This utilizes technique from the fields of acoustic, image, and video analysis, for information on news story title, newsman and scene identification. The goal is to construct a compact yet meaningful abstraction of broadcast TV-news, allowing users to browse through large amounts of data in a non-linear fashion with flexibility and efficiency. By adding acoustic analysis, a news program can be partitioned into news and commercial clips, with 90% accuracy on a data set of 400 h TV-news recorded off the air from July 2005 to August 2006. By applying speaker identification and/or image detection techniques, each news stories can be segmented with a better accuracy of 95.92%. On-screen captions or subtitles are recognized by OCR techniques to produce the text title of each news stories. The extracted title words can be used to link or to navigate more related news contents on the WWW. In cooperation with facial and scene analysis and recognition techniques, OCR results can provide users with multimodal query on specific news stories. Some experimental results are presented and discussed for the system reliability, performance evaluation and comparison. 相似文献
16.
Video Semantic Event/Concept Detection Using a Subspace-Based Multimedia Data Mining Framework 总被引:3,自引:0,他引:3
Mei-Ling Shyu Zongxing Xie Min Chen Shu-Ching Chen 《Multimedia, IEEE Transactions on》2008,10(2):252-259
In this paper, a subspace-based multimedia data mining framework is proposed for video semantic analysis, specifically video event/concept detection, by addressing two basic issues, i.e., semantic gap and rare event/concept detection. The proposed framework achieves full automation via multimodal content analysis and intelligent integration of distance-based and rule-based data mining techniques. The content analysis process facilitates the comprehensive video analysis by extracting low-level and middle-level features from audio/visual channels. The integrated data mining techniques effectively address these two basic issues by alleviating the class imbalance issue along the process and by reconstructing and refining the feature dimension automatically. The promising experimental performance on goal/corner event detection and sports/commercials/building concepts extraction from soccer videos and TRECVID news collections demonstrates the effectiveness of the proposed framework. Furthermore, its unique domain-free characteristic indicates the great potential of extending the proposed multimedia data mining framework to a wide range of different application domains. 相似文献