Paper
26 November 2003 MPEG content summarization based on compressed domain feature analysis
Author Affiliations +
Abstract
This paper addresses automatic summarization of MPEG audiovisual content on compressed domain. By analyzing semantically important low-level and mid-level audiovisual features, our method universally summarizes the MPEG-1/-2 contents in the form of digest or highlight. The former is a shortened version of an original, while the latter is an aggregation of important or interesting events. In our proposal, first, the incoming MPEG stream is segmented into shots and the above features are derived from each shot. Then the features are adaptively evaluated in an integrated manner, and finally the qualified shots are aggregated into a summary. Since all the processes are performed completely on compressed domain, summarization is achieved at very low computational cost. The experimental results show that news highlights and sports highlights in TV baseball games can be successfully extracted according to simple shot transition models. As for digest extraction, subjective evaluation proves that meaningful shots are extracted from content without a priori knowledge, even if it contains multiple genres of programs. Our method also has the advantage of generating an MPEG-7 based description such as summary and audiovisual segments in the course of summarization.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masaru Sugano, Yasuyuki Nakajima, and Hiromasa Yanagihara "MPEG content summarization based on compressed domain feature analysis", Proc. SPIE 5242, Internet Multimedia Management Systems IV, (26 November 2003); https://doi.org/10.1117/12.510951
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Cited by 8 scholarly publications.
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KEYWORDS
Video

Visualization

Feature extraction

Image segmentation

Semantic video

Visual analytics

Picture Archiving and Communication System

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