Abstract | ||
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We present a newly developed algorithm for automatically segmenting videos into basic shot units. A basic shot unit can be understood as an unbroken sequence of frames taken from one camera. At first we calculate the frame difference by using the local histogram comparison, and then we dynamically scale the frame difference by Log-formula to compress and enhance the frame difference. Finally we detect the shot boundaries by the newly proposed shot boundary detection algorithm which it is more robust to camera or object motion, and many flashlight events. The proposed algorithms are tested on the various video types and experimental results show that the proposed algorithm are effective and reliably detects shot boundaries. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1007/11949619_35 | ICVGIP |
Keywords | Field | DocType |
shot boundary detection algorithm,detects shot boundary,shot boundary,frame difference,flashlight event,object motion,proposed algorithm,video shot boundary detection,basic shot unit,local histogram comparison | Computer vision,Flashlight,Histogram,Pattern recognition,Segmentation,Computer science,Edge detection,Frame difference,Image processing,Algorithm,Boundary detection,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
4338 | 0302-9743 | 3-540-68301-1 |
Citations | PageRank | References |
2 | 0.37 | 10 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kyong-Cheol Ko | 1 | 9 | 1.23 |
Young Min Cheon | 2 | 2 | 0.37 |
Gye-Young Kim | 3 | 116 | 24.67 |
Hyung –Il Choi | 4 | 2 | 0.37 |
Seong-Yoon Shin | 5 | 2 | 4.09 |
Yang-Won Rhee | 6 | 5 | 2.82 |