Name
Abstract | ||
|---|---|---|
Fingerprinting is the process of mapping content or fragments of it, into unique, discriminative hashes called fingerprints. In this paper, we propose an automated video identification algorithm that employs fingerprinting for storing videos inside its database. When queried using a degraded short video segment, the objective of the system is to retrieve the original video to which it corresponds to, both accurately and in real-time. We present an algorithm that first, extracts key frames for temporal alignment of the query and its actual database video, and then computes spatio-temporal fingerprints locally within such frames, to indicate a content-match. All stages of the algorithm have been shown to be highly stable and reproducible even when strong distortions are applied to the query. |
Year | Venue | Keywords |
|---|---|---|
2007 | ACCV | actual database video,content-based matching,computes spatio-temporal fingerprint,local spatio-temporal fingerprint,storing video,mapping content,automated video identification algorithm,extracts key frame,degraded short video segment,strong distortion,original video,discriminative hash,real time |
Field | DocType | Volume |
Computer vision,Pattern recognition,Computer science,Video tracking,Hash function,Artificial intelligence,Discriminative model | Conference | 4844 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-76389-9 | 3 |
PageRank | References | Authors |
0.46 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gajinder Singh | 1 | 3 | 0.46 |
| Manika Puri | 2 | 48 | 2.95 |
| Jeffrey Lubin | 3 | 40 | 5.56 |
| Harpreet Sawhney | 4 | 265 | 14.93 |