Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings |
| Editors | Yung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu |
| Publisher | Springer Verlag |
| Pages | 200-208 |
| Number of pages | 9 |
| ISBN (Print) | 3540002626, 9783540002628 |
| Publication status | Published - 2002 Jan 1 |
| Event | 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan, Province of China Duration: 2002 Dec 16 → 2002 Dec 18 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2532 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 |
|---|---|
| Country | Taiwan, Province of China |
| City | Hsinchu |
| Period | 02/12/16 → 02/12/18 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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An abstraction of low level video features for automatic retrievals of explosion scenes. / Nang, Jongho; Jeong, Jinguk; Park, Sungyong; Cha, Hojung.
Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. ed. / Yung-Chang Chen; Long-Wen Chang; Chiou-Ting Hsu. Springer Verlag, 2002. p. 200-208 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2532).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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
PY - 2002/1/1
Y1 - 2002/1/1
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
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
ER -