{"title":"拍摄生活日志视频和管理令人印象深刻的场景","authors":"Atsushi Morikuni, Hiroki Nomiya, T. Hochin","doi":"10.1109/SNPD.2012.57","DOIUrl":null,"url":null,"abstract":"For the purpose of retrieving impressive scenes from lifelog videos based on facial expression recognition, an effective equipment to take facial videos is developed in this paper. The important advantage of this equipment is that it is able to take facial videos without excessive fatigue. In addition, we implemented an emotional scene management system. It provides the functions to store facial videos to a video database and to retrieve and display emotional scenes through Web browsers. In order to measure the retrieval performance of emotional scenes, a retrieval experiment was conducted. It was experimentally shown that about 78.6% of the emotional scenes were retrieved successfully.","PeriodicalId":387936,"journal":{"name":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Taking Lifelog Videos and Managing Impressive Scenes\",\"authors\":\"Atsushi Morikuni, Hiroki Nomiya, T. Hochin\",\"doi\":\"10.1109/SNPD.2012.57\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the purpose of retrieving impressive scenes from lifelog videos based on facial expression recognition, an effective equipment to take facial videos is developed in this paper. The important advantage of this equipment is that it is able to take facial videos without excessive fatigue. In addition, we implemented an emotional scene management system. It provides the functions to store facial videos to a video database and to retrieve and display emotional scenes through Web browsers. In order to measure the retrieval performance of emotional scenes, a retrieval experiment was conducted. It was experimentally shown that about 78.6% of the emotional scenes were retrieved successfully.\",\"PeriodicalId\":387936,\"journal\":{\"name\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2012.57\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2012.57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Taking Lifelog Videos and Managing Impressive Scenes
For the purpose of retrieving impressive scenes from lifelog videos based on facial expression recognition, an effective equipment to take facial videos is developed in this paper. The important advantage of this equipment is that it is able to take facial videos without excessive fatigue. In addition, we implemented an emotional scene management system. It provides the functions to store facial videos to a video database and to retrieve and display emotional scenes through Web browsers. In order to measure the retrieval performance of emotional scenes, a retrieval experiment was conducted. It was experimentally shown that about 78.6% of the emotional scenes were retrieved successfully.