TY - GEN
T1 - An abstraction of low level video features for automatic retrievals of explosion scenes
AU - Nang, Jongho
AU - Jeong, Jinguk
AU - Park, Sungyong
AU - Cha, Hojung
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - This paper proposes an abstraction mechanism of the low-level digital video features for the automatic retrievals of the explosion scenes from the digital video library. In the proposed abstraction mechanism, the regional dominant colors of the key frame and the motion energy of the shot are defined as the primary low-level visual features of the shot for the explosion scene retrievals. The regional dominant colors of shot are selected by dividing its key frame image into several regions and extracting their regional dominant colors, and the motion energy of the shot is defined as the edge image differences between key frame and its neighboring frame. Upon the extensive experimental results, we could argue that the recall and precision of the proposed abstraction and detecting algorithm are about 0.8, and also found that they are not sensitive to the thresholds.
AB - This paper proposes an abstraction mechanism of the low-level digital video features for the automatic retrievals of the explosion scenes from the digital video library. In the proposed abstraction mechanism, the regional dominant colors of the key frame and the motion energy of the shot are defined as the primary low-level visual features of the shot for the explosion scene retrievals. The regional dominant colors of shot are selected by dividing its key frame image into several regions and extracting their regional dominant colors, and the motion energy of the shot is defined as the edge image differences between key frame and its neighboring frame. Upon the extensive experimental results, we could argue that the recall and precision of the proposed abstraction and detecting algorithm are about 0.8, and also found that they are not sensitive to the thresholds.
UR - http://www.scopus.com/inward/record.url?scp=84950000726&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84950000726&partnerID=8YFLogxK
U2 - 10.1007/3-540-36228-2_26
DO - 10.1007/3-540-36228-2_26
M3 - Conference contribution
AN - SCOPUS:84950000726
SN - 3540002626
SN - 9783540002628
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 200
EP - 208
BT - Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
A2 - Chen, Yung-Chang
A2 - Chang, Long-Wen
A2 - Hsu, Chiou-Ting
PB - Springer Verlag
T2 - 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
Y2 - 16 December 2002 through 18 December 2002
ER -