TY - GEN
T1 - Automatic video summarization using the optimum-path forest unsupervised classifier
AU - Castelo-Fernández, César
AU - Calderón-Ruiz, Guillermo
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - In this paper a novel method for video summarization is presented, which uses a color-based feature extraction technique and a graph-based clustering technique. One major advantage of this method is that it is parameter-free, that is, we do not need to define neither the number of shots or a consecutive-frames dissimilarity threshold. The results have shown that the method is both effective and efficient in processing videos containing several thousands of frames, obtaining very meaningful summaries in a quick way.
AB - In this paper a novel method for video summarization is presented, which uses a color-based feature extraction technique and a graph-based clustering technique. One major advantage of this method is that it is parameter-free, that is, we do not need to define neither the number of shots or a consecutive-frames dissimilarity threshold. The results have shown that the method is both effective and efficient in processing videos containing several thousands of frames, obtaining very meaningful summaries in a quick way.
KW - Clustering
KW - Optimum-path forest classifier
KW - Shot detection
KW - Video processing
KW - Video summarization
UR - http://www.scopus.com/inward/record.url?scp=84983670564&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-25751-8_91
DO - 10.1007/978-3-319-25751-8_91
M3 - Conference contribution
AN - SCOPUS:84983670564
SN - 9783319257501
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 760
EP - 767
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Pardo, Alvaro
A2 - Kittler, Josef
PB - Springer Verlag
T2 - 20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015
Y2 - 9 November 2015 through 12 November 2015
ER -