SceneSkim:搜索和浏览电影使用同步字幕,脚本和情节摘要

Amy Pavel, Dan B. Goldman, Bjoern Hartmann, Maneesh Agrawala
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引用次数: 55

摘要

对于电影研究学者、电影专业人士和新媒体艺术家来说,寻找电影中的场景是一项耗时但至关重要的任务。在试点采访中,我们发现这些用户搜索各种各样的剪辑——例如。、动作、道具、对话短语、角色表演、地点——他们会回到过去看过的特定场景。如今,这些用户通过观看整部电影、浏览视频时间轴或通过DVD章节菜单导航来找到相关片段。越来越多的用户还可以通过脚本来索引电影——然而,对话通常缺乏视觉背景、角色名称和高层次的事件描述。我们介绍SceneSkim,一个使用同步字幕、脚本和情节摘要搜索和浏览电影的工具。我们的界面集成了来自这些来源的信息,以允许在几个粒度级别上进行富有表现力的搜索:字幕提供对准确对话的访问,脚本描述一个镜头接一个镜头的动作和设置,情节摘要包含高级事件描述。我们提出了新的算法,用于寻找单词级标题到脚本对齐,解析文本脚本,以及将情节摘要对齐到脚本。评估SceneSkim的电影研究研究生对该系统在他们的研究和教学中的可用性表示了热情。
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SceneSkim: Searching and Browsing Movies Using Synchronized Captions, Scripts and Plot Summaries
Searching for scenes in movies is a time-consuming but crucial task for film studies scholars, film professionals, and new media artists. In pilot interviews we have found that such users search for a wide variety of clips---e.g., actions, props, dialogue phrases, character performances, locations---and they return to particular scenes they have seen in the past. Today, these users find relevant clips by watching the entire movie, scrubbing the video timeline, or navigating via DVD chapter menus. Increasingly, users can also index films through transcripts---however, dialogue often lacks visual context, character names, and high level event descriptions. We introduce SceneSkim, a tool for searching and browsing movies using synchronized captions, scripts and plot summaries. Our interface integrates information from such sources to allow expressive search at several levels of granularity: Captions provide access to accurate dialogue, scripts describe shot-by-shot actions and settings, and plot summaries contain high-level event descriptions. We propose new algorithms for finding word-level caption to script alignments, parsing text scripts, and aligning plot summaries to scripts. Film studies graduate students evaluating SceneSkim expressed enthusiasm about the usability of the proposed system for their research and teaching.
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