Zaur Fataliyev, D. Han, Y. Imamverdiyev, Hanseok Ko
{"title":"基于斑点目标关键位置提取的视频摘要","authors":"Zaur Fataliyev, D. Han, Y. Imamverdiyev, Hanseok Ko","doi":"10.1109/ICCE.2015.7066433","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.","PeriodicalId":169402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics (ICCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Video summarization based on extracted key position of spotted objects\",\"authors\":\"Zaur Fataliyev, D. Han, Y. Imamverdiyev, Hanseok Ko\",\"doi\":\"10.1109/ICCE.2015.7066433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.\",\"PeriodicalId\":169402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2015.7066433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2015.7066433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video summarization based on extracted key position of spotted objects
This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
