{"title":"图像识别和检索技术在公共安全和IT服务中的工业应用","authors":"Tomokazu Murakami","doi":"10.1145/3206025.3210492","DOIUrl":null,"url":null,"abstract":"Hitachi has a wide variety of technologies ranging from systems for infrastructure to IT platforms such as railway management systems, water supply operation systems, manufacturing management systems for factories, surveillance cameras and monitoring systems, rolling stocks, power plants, servers, storages, data centers, and various IT systems for governments and companies. The research and development group of Hitachi is developing video analytics and other media processing techniques and applying them to various products and solutions with business divisions for such as public safety, productivity improvement of factories and other IT applications. In this talk, I would like to introduce some of the products, solutions and research topics in Hitachi which video analytics and image retrieval techniques are applied. These include an image search system for retrieving public registered design graphics, a person detection and tracking function for video surveillance system and our activities and results in TRECVID 2017. In each cases, we integrated our original high speed image search database and deep learning based image recognition technique. Through these use cases, I would like to present how image recognition and retrieval technologies are practically utilized to industrial products and solutions and contributing to the improvement of social welfare.","PeriodicalId":224132,"journal":{"name":"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Industrial Applications of Image Recognition and Retrieval Technologies for Public Safety and IT Services\",\"authors\":\"Tomokazu Murakami\",\"doi\":\"10.1145/3206025.3210492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hitachi has a wide variety of technologies ranging from systems for infrastructure to IT platforms such as railway management systems, water supply operation systems, manufacturing management systems for factories, surveillance cameras and monitoring systems, rolling stocks, power plants, servers, storages, data centers, and various IT systems for governments and companies. The research and development group of Hitachi is developing video analytics and other media processing techniques and applying them to various products and solutions with business divisions for such as public safety, productivity improvement of factories and other IT applications. In this talk, I would like to introduce some of the products, solutions and research topics in Hitachi which video analytics and image retrieval techniques are applied. These include an image search system for retrieving public registered design graphics, a person detection and tracking function for video surveillance system and our activities and results in TRECVID 2017. In each cases, we integrated our original high speed image search database and deep learning based image recognition technique. Through these use cases, I would like to present how image recognition and retrieval technologies are practically utilized to industrial products and solutions and contributing to the improvement of social welfare.\",\"PeriodicalId\":224132,\"journal\":{\"name\":\"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval\",\"volume\":\"139 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3206025.3210492\",\"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 2018 ACM on International Conference on Multimedia Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3206025.3210492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Industrial Applications of Image Recognition and Retrieval Technologies for Public Safety and IT Services
Hitachi has a wide variety of technologies ranging from systems for infrastructure to IT platforms such as railway management systems, water supply operation systems, manufacturing management systems for factories, surveillance cameras and monitoring systems, rolling stocks, power plants, servers, storages, data centers, and various IT systems for governments and companies. The research and development group of Hitachi is developing video analytics and other media processing techniques and applying them to various products and solutions with business divisions for such as public safety, productivity improvement of factories and other IT applications. In this talk, I would like to introduce some of the products, solutions and research topics in Hitachi which video analytics and image retrieval techniques are applied. These include an image search system for retrieving public registered design graphics, a person detection and tracking function for video surveillance system and our activities and results in TRECVID 2017. In each cases, we integrated our original high speed image search database and deep learning based image recognition technique. Through these use cases, I would like to present how image recognition and retrieval technologies are practically utilized to industrial products and solutions and contributing to the improvement of social welfare.