基于矢量量化的镜头边界自动检测

2002 IEEE Workshop on Multimedia Signal Processing. Pub Date : 2002-12-09 DOI:10.1109/MMSP.2002.1203285

J. Gomes, M. Carli, S. Mitra, A. Neri

{"title":"基于矢量量化的镜头边界自动检测","authors":"J. Gomes, M. Carli, S. Mitra, A. Neri","doi":"10.1109/MMSP.2002.1203285","DOIUrl":null,"url":null,"abstract":"A compact video description is required to efficiently browse a multimedia database. A possible solution is the creation of a summary by using a set of frames (key frames) representing the content of each part of the video. To this end, a novel shot boundary detection method, based on a vector quantization approach, is presented. Experimental results show the effectiveness, in terms of computational cost and performance, of the proposed system.","PeriodicalId":398813,"journal":{"name":"2002 IEEE Workshop on Multimedia Signal Processing.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Vector quantization-based automatic shot boundary detection\",\"authors\":\"J. Gomes, M. Carli, S. Mitra, A. Neri\",\"doi\":\"10.1109/MMSP.2002.1203285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A compact video description is required to efficiently browse a multimedia database. A possible solution is the creation of a summary by using a set of frames (key frames) representing the content of each part of the video. To this end, a novel shot boundary detection method, based on a vector quantization approach, is presented. Experimental results show the effectiveness, in terms of computational cost and performance, of the proposed system.\",\"PeriodicalId\":398813,\"journal\":{\"name\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2002.1203285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE Workshop on Multimedia Signal Processing.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2002.1203285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

为了高效地浏览多媒体数据库，需要一个紧凑的视频描述。一种可能的解决方案是使用一组表示视频每个部分内容的帧(关键帧)来创建摘要。为此，提出了一种基于矢量量化的镜头边界检测方法。实验结果表明，该系统在计算成本和性能方面是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Vector quantization-based automatic shot boundary detection

A compact video description is required to efficiently browse a multimedia database. A possible solution is the creation of a summary by using a set of frames (key frames) representing the content of each part of the video. To this end, a novel shot boundary detection method, based on a vector quantization approach, is presented. Experimental results show the effectiveness, in terms of computational cost and performance, of the proposed system.

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

2002 IEEE Workshop on Multimedia Signal Processing.

自引率

0.00%

发文量