JOURNAL ARTICLE

A collaborative approach to automatic rushes video summarization

Abstract

Video summarization is a useful tool which allows a user to grasp rapidly the essence of a video. In the development of this research topic we propose a new method based on different individual content segmentation and selection tools in a collaborative system. The main innovation of this work is to merge results from different approaches, so as to benefit from their respective qualities. Our system is organized in two phases: first segmentation of the video, second identification of relevant and redundant segments. The final list of selected segments is used to concatenate the video segments and build the final summary. In order to assess the effectiveness of this organization, we evaluate our system with a method based on the TRECVID 2007 BBC rushes summarization evaluation pilot and compare our performance with existing systems.

Keywords:
Automatic summarization Merge (version control) Computer science GRASP Segmentation Information retrieval Identification (biology) Artificial intelligence Multimedia Software engineering

Metrics

7
Cited By
1.47
FWCI (Field Weighted Citation Impact)
7
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Multimedia Communication and Technology
Social Sciences →  Social Sciences →  Sociology and Political Science

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