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Proceedings Paper

Image feature meaning for automatic key-frame extraction
Author(s): Vincenzo Di Lecce; Andrea Guerriero
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Paper Abstract

Video abstraction and summarization, being request in several applications, has address a number of researches to automatic video analysis techniques. The processes for automatic video analysis are based on the recognition of short sequences of contiguous frames that describe the same scene, shots, and key frames representing the salient content of the shot. Since effective shot boundary detection techniques exist in the literature, in this paper we will focus our attention on key frames extraction techniques to identify the low level visual features of the frames that better represent the shot content. To evaluate the features performance, key frame automatically extracted using these features, are compared to human operator video annotations.

Paper Details

Date Published: 18 December 2003
PDF: 10 pages
Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); doi: 10.1117/12.526706
Show Author Affiliations
Vincenzo Di Lecce, Politecnico di Bari (Italy)
Andrea Guerriero, Politecnico di Bari (Italy)

Published in SPIE Proceedings Vol. 5307:
Storage and Retrieval Methods and Applications for Multimedia 2004
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)

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