VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation

VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation

In this paper, we propose an approach for video summarization (VSUMM). The video summaries are generated based on visual features. A factorial experiment is designed to analyze the relative impact of the attributes. We demonstrate the validity of the VSUMM approach by testing it on a collection of v...

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Bibliographische Detailangaben
Hauptverfasser: de Avila, S., da Luz, A., de Araujo, A., Cord, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Feature extraction
Histograms
Image color analysis
keyframes
quantitative evaluation
Redundancy
Streaming media
Video sequences
video summarization
Visualization
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Beschreibung
Zusammenfassung:In this paper, we propose an approach for video summarization (VSUMM). The video summaries are generated based on visual features. A factorial experiment is designed to analyze the relative impact of the attributes. We demonstrate the validity of the VSUMM approach by testing it on a collection of videos from Open Video Project. We provide a comparison among results of the proposed summarization technique with Open Video storyboard. A subjective evaluation showed that the summaries are produced with good quality.
ISSN:1530-1834
2377-5416
DOI:10.1109/SIBGRAPI.2008.31