{"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}
引用次数: 21
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.