Name
Abstract | ||
|---|---|---|
This paper presents the concept of video fingerprinting as a tool for video identification. As such, video fingerprinting is an important tool for persistent identification as proposed in MPEG-21. Applications range from video monitoring on broadcast channels to filtering on peer-to-peer networks to meta-data restoration in large digital libraries. We present considerations and a technique for (i) extracting essential perceptual features from moving image sequences and (ii) for identifying any sufficiently long unknown video segment by efficiently matching the fingerprint of the short segment with a large database of pre-computed fingerprints. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45925-1_11 | VISUAL |
Keywords | Field | DocType |
persistent identification,video fingerprinting,large database,broadcast channel,unknown video segment,feature extraction,database strategy,video monitoring,video identification,short segment,important tool,large digital library,digital library | Computer vision,Telecommunications network,Data transmission,Computer science,Filter (signal processing),Fingerprint,Feature extraction,Video tracking,Video copy detection,Artificial intelligence,Hash function,Database | Conference |
ISBN | Citations | PageRank |
3-540-43358-9 | 73 | 11.43 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Job Oostveen | 1 | 121 | 18.04 |
| Ton Kalker | 2 | 1203 | 140.78 |
| Jaap Haitsma | 3 | 600 | 55.42 |