{"title":"视频摘要:一个可浏览的,可略读格式的信息讲座视频","authors":"Amy Pavel, Colorado Reed, Bjoern Hartmann, Maneesh Agrawala","doi":"10.1145/2642918.2647400","DOIUrl":null,"url":null,"abstract":"Increasingly, authors are publishing long informational talks, lectures, and distance-learning videos online. However, it is difficult to browse and skim the content of such videos using current timeline-based video players. Video digests are a new format for informational videos that afford browsing and skimming by segmenting videos into a chapter/section structure and providing short text summaries and thumbnails for each section. Viewers can navigate by reading the summaries and clicking on sections to access the corresponding point in the video. We present a set of tools to help authors create such digests using transcript-based interactions. With our tools, authors can manually create a video digest from scratch, or they can automatically generate a digest by applying a combination of algorithmic and crowdsourcing techniques and then manually refine it as needed. Feedback from first-time users suggests that our transcript-based authoring tools and automated techniques greatly facilitate video digest creation. In an evaluative crowdsourced study we find that given a short viewing time, video digests support browsing and skimming better than timeline-based or transcript-based video players.","PeriodicalId":20543,"journal":{"name":"Proceedings of the 27th annual ACM symposium on User interface software and technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"103","resultStr":"{\"title\":\"Video digests: a browsable, skimmable format for informational lecture videos\",\"authors\":\"Amy Pavel, Colorado Reed, Bjoern Hartmann, Maneesh Agrawala\",\"doi\":\"10.1145/2642918.2647400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasingly, authors are publishing long informational talks, lectures, and distance-learning videos online. However, it is difficult to browse and skim the content of such videos using current timeline-based video players. Video digests are a new format for informational videos that afford browsing and skimming by segmenting videos into a chapter/section structure and providing short text summaries and thumbnails for each section. Viewers can navigate by reading the summaries and clicking on sections to access the corresponding point in the video. We present a set of tools to help authors create such digests using transcript-based interactions. With our tools, authors can manually create a video digest from scratch, or they can automatically generate a digest by applying a combination of algorithmic and crowdsourcing techniques and then manually refine it as needed. Feedback from first-time users suggests that our transcript-based authoring tools and automated techniques greatly facilitate video digest creation. In an evaluative crowdsourced study we find that given a short viewing time, video digests support browsing and skimming better than timeline-based or transcript-based video players.\",\"PeriodicalId\":20543,\"journal\":{\"name\":\"Proceedings of the 27th annual ACM symposium on User interface software and technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"103\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 27th annual ACM symposium on User interface software and technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2642918.2647400\",\"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 27th annual ACM symposium on User interface software and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2642918.2647400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video digests: a browsable, skimmable format for informational lecture videos
Increasingly, authors are publishing long informational talks, lectures, and distance-learning videos online. However, it is difficult to browse and skim the content of such videos using current timeline-based video players. Video digests are a new format for informational videos that afford browsing and skimming by segmenting videos into a chapter/section structure and providing short text summaries and thumbnails for each section. Viewers can navigate by reading the summaries and clicking on sections to access the corresponding point in the video. We present a set of tools to help authors create such digests using transcript-based interactions. With our tools, authors can manually create a video digest from scratch, or they can automatically generate a digest by applying a combination of algorithmic and crowdsourcing techniques and then manually refine it as needed. Feedback from first-time users suggests that our transcript-based authoring tools and automated techniques greatly facilitate video digest creation. In an evaluative crowdsourced study we find that given a short viewing time, video digests support browsing and skimming better than timeline-based or transcript-based video players.