Sciweavers

Share
MM
2003
ACM

Negative pseudo-relevance feedback in content-based video retrieval

10 years 2 days ago
Negative pseudo-relevance feedback in content-based video retrieval
Video information retrieval requires a system to find information relevant to a query which may be represented simultaneously in different ways through a text description, audio, still images and/or video sequences. We present a novel approach that uses pseudo-relevance feedback from retrieved items that are NOT similar to the query items without further inquiring user feedback. We provide insight into this approach using a statistical model and suggest a score combination scheme via posterior probability estimation. An evaluation on the 2002 TREC Video Track queries shows that this technique can improve video retrieval performance on a real collection. We believe that negative pseudo-relevance feedback shows great promise for very difficult multimedia retrieval tasks, especially when combined with other different retrieval algorithms.
Rong Yan, Alexander G. Hauptmann, Rong Jin
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where MM
Authors Rong Yan, Alexander G. Hauptmann, Rong Jin
Comments (0)
books