Can I read Scalable Mining of Large Video Databases Using Copy Detection on EtoBox?

Scalable Mining of Large Video Databases Using Copy Detection by Sébastien Poullot; Michel Crucianu; Olivier Buisson is a scholarly article available to read on EtoBox.

What is Scalable Mining of Large Video Databases Using Copy Detection about?

Mining the video content itself can bring to light important information regarding the internal structure of large video databases, compensating for a lasting absence of extensive and reliable annotations. Many valuable links between video segments can be identified by content-based copy detection methods, where "copies" are transformed versions of original video sequences. To make this approach viable for large video databases, we put forward a new mining method relying on the definition of a compact keyframe-level descriptor and of a specific index structure. The performance obtained in detecting links between video segments is evaluated with the help of a ground truth and several illustrations are given. The scalability of the approach is then demonstrated for databases of up to 10,000 hours of video.

Author

Sébastien Poullot; Michel Crucianu; Olivier Buisson

Publisher

ACM

Published

2008

Language

EN