基于视觉描述符和剪切检测的运动图像检索系统

Jang-Hui Kim, Young-Do Lim, D. Kang
{"title":"基于视觉描述符和剪切检测的运动图像检索系统","authors":"Jang-Hui Kim, Young-Do Lim, D. Kang","doi":"10.1109/FGCN.2007.213","DOIUrl":null,"url":null,"abstract":"Multimedia that is characterized by multi-media, multi-features, multi-representations, huge volume, and varieties is rapidly spreading due to the increasing number of application domains, the establishment of the information super-highway, and the development of Internet technologies. Thus, the development of a multimedia information system is urgently needed to rapidly and accurately retrieve the required information from the huge amount of multimedia data available. While conventional retrieval systems have focused on text, current multimedia systems have developed along the lines of content-based video retrieval due to the wide use of digital video data available. The goal of this paper is to achieve an efficient and effective multimedia retrieval system that meets the current needs mentioned above. Through this experiment, an improved video segmentation system is implemented that performs more quickly and precisely than the existing techniques.","PeriodicalId":254368,"journal":{"name":"Future Generation Communication and Networking (FGCN 2007)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Moving Picture Retrieval System Using Visual Descriptors and Cut Detection\",\"authors\":\"Jang-Hui Kim, Young-Do Lim, D. Kang\",\"doi\":\"10.1109/FGCN.2007.213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multimedia that is characterized by multi-media, multi-features, multi-representations, huge volume, and varieties is rapidly spreading due to the increasing number of application domains, the establishment of the information super-highway, and the development of Internet technologies. Thus, the development of a multimedia information system is urgently needed to rapidly and accurately retrieve the required information from the huge amount of multimedia data available. While conventional retrieval systems have focused on text, current multimedia systems have developed along the lines of content-based video retrieval due to the wide use of digital video data available. The goal of this paper is to achieve an efficient and effective multimedia retrieval system that meets the current needs mentioned above. Through this experiment, an improved video segmentation system is implemented that performs more quickly and precisely than the existing techniques.\",\"PeriodicalId\":254368,\"journal\":{\"name\":\"Future Generation Communication and Networking (FGCN 2007)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Generation Communication and Networking (FGCN 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FGCN.2007.213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Generation Communication and Networking (FGCN 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FGCN.2007.213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着应用领域的增多、信息高速公路的建立和互联网技术的发展,多媒体以其多媒体、多特征、多表现形式、海量、品种等特点得到迅速发展。因此,迫切需要开发一种多媒体信息系统,从海量的多媒体数据中快速准确地检索到需要的信息。传统的检索系统侧重于文本,而由于数字视频数据的广泛使用,当前的多媒体系统已经沿着基于内容的视频检索的路线发展。本文的目标就是实现一个满足当前需求的高效、有效的多媒体检索系统。通过实验,实现了一种改进的视频分割系统,该系统比现有的分割技术更快、更精确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Moving Picture Retrieval System Using Visual Descriptors and Cut Detection
Multimedia that is characterized by multi-media, multi-features, multi-representations, huge volume, and varieties is rapidly spreading due to the increasing number of application domains, the establishment of the information super-highway, and the development of Internet technologies. Thus, the development of a multimedia information system is urgently needed to rapidly and accurately retrieve the required information from the huge amount of multimedia data available. While conventional retrieval systems have focused on text, current multimedia systems have developed along the lines of content-based video retrieval due to the wide use of digital video data available. The goal of this paper is to achieve an efficient and effective multimedia retrieval system that meets the current needs mentioned above. Through this experiment, an improved video segmentation system is implemented that performs more quickly and precisely than the existing techniques.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信