ViBE video database system: an update and further studies

In this paper we extend the shot transition detection component of the ViBE video database system to include gradual scene changes. ViBE Video Indexing and Browsing Environment, a browseable searchable paradigm for organizing video data containing a large number of sequences, is being developed at Purdue as a testbed to explore ideas and concepts in video databases. We also present results on the performance of our cut detection algorithm using a large test set. The performance of two other techniques are compared against our method.

• Type: Conference
• Year: 2000
• Where: SPIESR
• Authors: Cüneyt M. Taskiran, Charles A. Bouman, Edward J. Delp
• Keywords: SPIESR 2000, SPIESR 2001, Vibe Video, ViBE Video Database, ViBE Video Indexing