Summarization of video programs based on closed captions

被引：11

作者：

Agnihotri, L ^{[1
]}

Devara, K ^{[1
]}

McGee, T ^{[1
]}

Dimitrova, N ^{[1
]}

机构：

[1] Philips Res, Briarcliff Manor, NY 10510 USA

来源：

STORAGE AND RETRIEVAL FOR MEDIA DATABASES 2001 | 2001年 / 4315卷

关键词：

digital video; content filtering; content-based video analysis and video retrieval; closed-caption summary;

D O I：

10.1117/12.410973

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Today the consumers are facing an ever-increasing amount of television programs. The problem, however, is that the content of video programs is opaque. The existing video watching options for consumers are either to watch the whole video, fast forward to try and find the relevant portion, or to use electronic program guides (EPG) to get additional information. In this paper we will present a summarization system for processing incoming video, extracting and analyzing closed caption text, determining the boundaries of program segments as well as commercial breaks and exacting a program summary from a complete broadcast to enable video transparency. The system consists of: transcript extractor, program type classifier, cue extractor, knowledge database, temporal database, inference engine, and summarizer. The main topics that will be discussed are video summary, video categorization, and retrieval tools.

引用

页码：599 / 607

页数：3

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