多媒体系统中基于说话人识别的字幕自动定位

Seung-Bo Park, Kyung-Jin Oh, Heung-Nam Kim, Geun-Sik Jo
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引用次数: 7

摘要

随着网络视频的日益普及,高效的字幕和显示字幕文本(字幕)也被赋予了可访问性。然而,在大多数情况下,字幕显示在屏幕下方的单独显示器上。结果,一些观众失去了关于视频内容的浓缩信息。为了提高观众的可读性和可视性,在本文中,我们提出了一个在视频中围绕说话人显示同步文本的框架。该方法首先使用人脸检测技术识别说话人,然后检测字幕区域。此外,我们还采用了可互操作的W3C定时文本格式DFXP,以支持与现有遗留系统的交换。为了实现SMIL和DFXP等多媒体演示的流畅播放,实现了一个原型系统MoNaPlayer。实例研究表明,该系统在多种多媒体应用中是可行的。
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Automatic Subtitles Localization through Speaker Identification in Multimedia System
With the increasing popularity of online video, efficient captioning and displaying the captioned text (subtitles) have also been issued with the accessibility. However, in most cases, subtitles are shown on a separate display below a screen. As a result, some viewers lose condensed information about the contents of the video. To elevate readability and visibility of viewers, in this paper, we present a framework for displaying synchronized text around a speaker in video. The proposed approach first identifies speakers using face detection technologies and subsequently detects a subtitles region. In addition, we adapt DFXP, which is interoperable timed text format of W3C, to support interchanging with existing legacy system. In order to achieve smooth playback of multimedia presentation, such as SMIL and DFXP, a prototype system, namely MoNaPlayer, has been implemented. Our case studies show that the proposed system is feasible to several multimedia applications.
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