{"title":"用于恢复工作的阿卡西台式录音机","authors":"Tatsuo Matsuura, Tadachika Ozono, T. Shintani","doi":"10.1109/IIAI-AAI.2016.151","DOIUrl":null,"url":null,"abstract":"In this study, we developed a system that records the PC user's past work and enables the user to resume a previous task. Previously, we used screenshots to record work processes. However, this method demands a huge storage capacity. Therefore, in the proposed system, duplicate screenshots are deleted through similar-image determination. In addition, screenshots are transformed into a compressed moving image by introducing the H.264 video coding standard. Moreover, we integrate a backup system into our system to help users reach files based on their queries. The information on the user's past work is organized in Research Episode Networks, which are graphs representing relationships among events, tasks, and files. Research Episode Networks make it easier for users to search for target files.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Akashic Desktop Recorder for Resumption of Works\",\"authors\":\"Tatsuo Matsuura, Tadachika Ozono, T. Shintani\",\"doi\":\"10.1109/IIAI-AAI.2016.151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we developed a system that records the PC user's past work and enables the user to resume a previous task. Previously, we used screenshots to record work processes. However, this method demands a huge storage capacity. Therefore, in the proposed system, duplicate screenshots are deleted through similar-image determination. In addition, screenshots are transformed into a compressed moving image by introducing the H.264 video coding standard. Moreover, we integrate a backup system into our system to help users reach files based on their queries. The information on the user's past work is organized in Research Episode Networks, which are graphs representing relationships among events, tasks, and files. Research Episode Networks make it easier for users to search for target files.\",\"PeriodicalId\":272739,\"journal\":{\"name\":\"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2016.151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2016.151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Akashic Desktop Recorder for Resumption of Works
In this study, we developed a system that records the PC user's past work and enables the user to resume a previous task. Previously, we used screenshots to record work processes. However, this method demands a huge storage capacity. Therefore, in the proposed system, duplicate screenshots are deleted through similar-image determination. In addition, screenshots are transformed into a compressed moving image by introducing the H.264 video coding standard. Moreover, we integrate a backup system into our system to help users reach files based on their queries. The information on the user's past work is organized in Research Episode Networks, which are graphs representing relationships among events, tasks, and files. Research Episode Networks make it easier for users to search for target files.
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