{"title":"LectureKhoj:在线讲座视频的自动标记和语义分割","authors":"Esha Baidya, S. Goel","doi":"10.1109/IC3.2014.6897144","DOIUrl":null,"url":null,"abstract":"Online educational lecture videos are very popular nowadays. However, effective search of relevant videos remains a difficult task. Texts displayed in lecture video slides have important information about the video content. Therefore, it can be utilized as a valuable source of content analysis and tagging. In this paper, we present an automated method for semantic segmentation and tag recommendation of online lecture videos using OCR technology.","PeriodicalId":444918,"journal":{"name":"2014 Seventh International Conference on Contemporary Computing (IC3)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"LectureKhoj: Automatic tagging and semantic segmentation of online lecture videos\",\"authors\":\"Esha Baidya, S. Goel\",\"doi\":\"10.1109/IC3.2014.6897144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online educational lecture videos are very popular nowadays. However, effective search of relevant videos remains a difficult task. Texts displayed in lecture video slides have important information about the video content. Therefore, it can be utilized as a valuable source of content analysis and tagging. In this paper, we present an automated method for semantic segmentation and tag recommendation of online lecture videos using OCR technology.\",\"PeriodicalId\":444918,\"journal\":{\"name\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2014.6897144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2014.6897144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LectureKhoj: Automatic tagging and semantic segmentation of online lecture videos
Online educational lecture videos are very popular nowadays. However, effective search of relevant videos remains a difficult task. Texts displayed in lecture video slides have important information about the video content. Therefore, it can be utilized as a valuable source of content analysis and tagging. In this paper, we present an automated method for semantic segmentation and tag recommendation of online lecture videos using OCR technology.