手电筒场景检测的MPEG视频

2005 IEEE 7th Workshop on Multimedia Signal Processing Pub Date : 2005-10-01 DOI:10.1109/MMSP.2005.248676

Jian Wang, Yanling Xu, Songyu Yu, Yuanhua Zhou

{"title":"手电筒场景检测的MPEG视频","authors":"Jian Wang, Yanling Xu, Songyu Yu, Yuanhua Zhou","doi":"10.1109/MMSP.2005.248676","DOIUrl":null,"url":null,"abstract":"A new flashlight scene detection approach is presented. It focuses on two techniques: a new flashlight model based on the spatial-temporal characteristics of intensity value for the DC sequence, and a local threshold selection scheme using the sliding window. The advantages of this approach are its good performance for multi-frame and gradual flashlight scene cases, and local threshold selection. Experimental results show that the proposed algorithm is fast, robust and high accuracy","PeriodicalId":191719,"journal":{"name":"2005 IEEE 7th Workshop on Multimedia Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Flashlight Scene Detection for MPEG Videos\",\"authors\":\"Jian Wang, Yanling Xu, Songyu Yu, Yuanhua Zhou\",\"doi\":\"10.1109/MMSP.2005.248676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new flashlight scene detection approach is presented. It focuses on two techniques: a new flashlight model based on the spatial-temporal characteristics of intensity value for the DC sequence, and a local threshold selection scheme using the sliding window. The advantages of this approach are its good performance for multi-frame and gradual flashlight scene cases, and local threshold selection. Experimental results show that the proposed algorithm is fast, robust and high accuracy\",\"PeriodicalId\":191719,\"journal\":{\"name\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2005.248676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 7th Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2005.248676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

提出了一种新的手电筒场景检测方法。重点研究了基于直流序列强度值时空特征的手电筒模型和基于滑动窗口的局部阈值选择方案。该方法的优点是对多帧渐变的手电筒场景具有良好的性能，并且具有局部阈值选择能力。实验结果表明，该算法具有快速、鲁棒和高精度的特点

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

Flashlight Scene Detection for MPEG Videos

A new flashlight scene detection approach is presented. It focuses on two techniques: a new flashlight model based on the spatial-temporal characteristics of intensity value for the DC sequence, and a local threshold selection scheme using the sliding window. The advantages of this approach are its good performance for multi-frame and gradual flashlight scene cases, and local threshold selection. Experimental results show that the proposed algorithm is fast, robust and high accuracy

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

2005 IEEE 7th Workshop on Multimedia Signal Processing

自引率

0.00%

发文量