Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |

KennedyRerank:2007

Lyndon Kennedy, Shih-Fu Chang. A Reranking Approach for Context-based Concept Fusion in Video Indexing and Retrieval. In ACM International Conference on Image and Video Retrieval, Amsterdam, Netherlands, July 2007.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

We propose to incorporate hundreds of pre-trained concept detectors to provide contextual information for improving the performance of multimodal video search. The approach takes initial search results from established video search methods (which typically are conservative in usage of concept detectors) and mines these results to discover and leverage co-occurrence patterns with detection results for hundreds of other concepts, thereby refining and reranking the initial video search result. We test the method on TRECVID 2005 and 2006 automatic video search tasks and find improvements in mean average precision (MAP) of 15%-30%. We also find that the method is adept at discovering contextual relationships that are unique to news stories occurring in the search set, which would be diffcult or impossible to discover even if external training data were available.

Contact

Lyndon Kennedy
Shih-Fu Chang

BibTex Reference

@InProceedings{KennedyRerank:2007,
   Author = {Kennedy, Lyndon and Chang, Shih-Fu},
   Title = {{A Reranking Approach for Context-based Concept Fusion in Video Indexing and Retrieval}},
   BookTitle = {{ACM International Conference on Image and Video Retrieval}},
   Address = {Amsterdam, Netherlands},
   Month = {July},
   Year = {2007}
}

EndNote Reference [help]

Get EndNote Reference (.ref)

 
bar

For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).