We propose an innovative approach to the selection of representative frames of a video shot for video summarization. By analyzing the differences between two consecutive frames of a video sequence, the algorithm determines the complexity of the sequence in terms of visual content changes. Three descriptors are used to express the frame's visual content: a color histogram, wavelet statistics and an edge direction histogram. Similarity measures are computed for each descriptor and combined to form a frame difference measure. The use of multiple descriptors provides a more precise representation, capturing even small variations in the frame sequence. This method can dynamically, and rapidly select a variable number of key frame within each shot, and does not exhibit the complexity of existing methods based on clustering algorithm strategies. © 2005 SPIE and IS&T.
Ciocca, G., & Schettini, R. (2005). Dynamic key-frame extraction for video summarization. In Internet Imaging VI (pp.137-142).
Citazione: | Ciocca, G., & Schettini, R. (2005). Dynamic key-frame extraction for video summarization. In Internet Imaging VI (pp.137-142). |
Tipo: | paper |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | No |
Titolo: | Dynamic key-frame extraction for video summarization |
Autori: | Ciocca, G; Schettini, R |
Autori: | |
Data di pubblicazione: | 2005 |
Lingua: | English |
Nome del convegno: | Electronic Imaging 2005 |
ISBN: | 9780819456434 |
Serie: | SPIE |
Appare nelle tipologie: | 02 - Intervento a convegno |