Please use this identifier to cite or link to this item: https://doi.org/10.1007/11788034_15
Title: Video retrieval using high level features: Exploiting query matching and confidence-based weighting
Authors: Neo, S.-Y. 
Zhao, J. 
Kan, M.-Y. 
Chua, T.-S. 
Issue Date: 2006
Source: Neo, S.-Y.,Zhao, J.,Kan, M.-Y.,Chua, T.-S. (2006). Video retrieval using high level features: Exploiting query matching and confidence-based weighting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4071 LNCS : 143-152. ScholarBank@NUS Repository. https://doi.org/10.1007/11788034_15
Abstract: Recent research in video retrieval has focused on automated, high-level feature indexing on shots or frames. One important application of such indexing is to support precise video retrieval. We report on extensions of this semantic indexing on news video retrieval, First, we utilize extensive query analysis to relate various high-level features and query terms by matching the textual description and context in a time-dependent manner. Second, we introduce a framework to effectively fuse the relation weights with the detectors' confidence scores. This results in individual high level features that are weighted on a per-query basis. Tests on the TRECVID 2005 dataset show that the above two enhancements yield significant improvement in performance over a corresponding state-of-the-art video retrieval baseline. © Springer-Verlag Berlin Heidelberg 2006.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40543
ISBN: 3540360182
ISSN: 03029743
DOI: 10.1007/11788034_15
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

35
checked on Dec 13, 2017

Page view(s)

44
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.