Tu-Khiem Le, Van-Tu Ninh, M. Tran, Thanh-An Nguyen, Hai-Dang Nguyen, Liting Zhou, G. Healy, C. Gurrin
{"title":"lifeeeker 2.0:交互式生活日志搜索引擎在LSC 2020","authors":"Tu-Khiem Le, Van-Tu Ninh, M. Tran, Thanh-An Nguyen, Hai-Dang Nguyen, Liting Zhou, G. Healy, C. Gurrin","doi":"10.1145/3379172.3391724","DOIUrl":null,"url":null,"abstract":"In this paper we present our interactive lifelog retrieval engine in the LSC'20 comparative benchmarking challenge. The LifeSeeker2.0 interactive lifelog retrieval engine is developed by both Dublin City University and Ho Chi Minh University of Science, which represents an enhanced version of the two corresponding inter-active lifelog retrieval engines in LSC'19. The implementation of LifeSeeker 2.0 has been designed to focus on the searching by text query using a Bag-of-Words model with visual concept augmentation and additional improvements in query processing time, enhanced result display and browsing support, and interacting with visual graphs for both query and filter purposes.","PeriodicalId":340585,"journal":{"name":"Proceedings of the Third Annual Workshop on Lifelog Search Challenge","volume":"10 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"LifeSeeker 2.0: Interactive Lifelog Search Engine at LSC 2020\",\"authors\":\"Tu-Khiem Le, Van-Tu Ninh, M. Tran, Thanh-An Nguyen, Hai-Dang Nguyen, Liting Zhou, G. Healy, C. Gurrin\",\"doi\":\"10.1145/3379172.3391724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present our interactive lifelog retrieval engine in the LSC'20 comparative benchmarking challenge. The LifeSeeker2.0 interactive lifelog retrieval engine is developed by both Dublin City University and Ho Chi Minh University of Science, which represents an enhanced version of the two corresponding inter-active lifelog retrieval engines in LSC'19. The implementation of LifeSeeker 2.0 has been designed to focus on the searching by text query using a Bag-of-Words model with visual concept augmentation and additional improvements in query processing time, enhanced result display and browsing support, and interacting with visual graphs for both query and filter purposes.\",\"PeriodicalId\":340585,\"journal\":{\"name\":\"Proceedings of the Third Annual Workshop on Lifelog Search Challenge\",\"volume\":\"10 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third Annual Workshop on Lifelog Search Challenge\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3379172.3391724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third Annual Workshop on Lifelog Search Challenge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3379172.3391724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LifeSeeker 2.0: Interactive Lifelog Search Engine at LSC 2020
In this paper we present our interactive lifelog retrieval engine in the LSC'20 comparative benchmarking challenge. The LifeSeeker2.0 interactive lifelog retrieval engine is developed by both Dublin City University and Ho Chi Minh University of Science, which represents an enhanced version of the two corresponding inter-active lifelog retrieval engines in LSC'19. The implementation of LifeSeeker 2.0 has been designed to focus on the searching by text query using a Bag-of-Words model with visual concept augmentation and additional improvements in query processing time, enhanced result display and browsing support, and interacting with visual graphs for both query and filter purposes.
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
