Private:copyDetection: Notes
From NMSL
Video Copy Detection
Early Idea
- Collect large set of videos (may be from TREC)
- Extract local features (e.g., SIFT) from I frames
- Cluster these features into K clusters using for example K-means method (need to try for different values of K)
- To create signatures
- Divide a video into groups (may be GOP)
- Extract local features from I frames
- Map these features to the K clusters (prob value for each cluster)
- Extract motion vectors from
3D Video Copy Detection
- ideas, previous works?