Name
Title | ||
|---|---|---|
Content-based video copy detection based on motion vectors estimated using a lower frame rate. |
Abstract | ||
|---|---|---|
We propose a motion vector-based video content-based copy detection method. One of the signatures of a given video is motion vectors extracted from image sequences. However, when consecutive image frames are used, the resulting motion vectors are not descriptive enough because most vectors are either too small or they appear to scatter in all directions. We calculate motion vectors in a lower frame rate than the actual frame rate of the video to overcome this problem. As a result, we obtain large vectors and they represent a given video in a robust manner. We carry out experiments for various parameters and present the results. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s11760-014-0627-6 | Signal, Image and Video Processing |
Keywords | Field | DocType |
Content-based copy detection, Similar video detection, Motion vectors, Sequence matching, Video copy detection | Reference frame,Computer vision,Block-matching algorithm,Quarter-pixel motion,Pattern recognition,Computer science,Motion compensation,Inter frame,Artificial intelligence,Frame rate,Motion estimation,Motion vector | Journal |
Volume | Issue | ISSN |
8 | 6 | 1863-1711 |
Citations | PageRank | References |
14 | 0.62 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kasim Tasdemir | 1 | 32 | 5.66 |
| A. Enis Çetin | 2 | 871 | 118.56 |