An Unified Framework Based on p-Norm for Feature Aggregation in Content-Based Image Retrieval

Jun Zhang, Lei Ye
2007 Ninth IEEE International Symposium on Multimedia (ISM 2007)  
Feature aggregation is a critical technique in contentbased image retrieval systems that employ multiple visual features to characterize image content. In this paper, the p-norm is introduced to feature aggregation that provides a framework to unify various previous feature aggregation schemes such as linear combination, Euclidean distance, Boolean logic and decision fusion schemes in which previous schemes are instances. Some insights of the mechanism of how various aggregation schemes work
more » ... discussed through the effects of model parameters in the unified framework. Experiments show that performances vary over feature aggregation schemes that necessitates an unified framework in order to optimize the retrieval performance according to individual queries and user query concept. Revealing experimental results conducted with IAPR TC-12 ImageCLEF2006 benchmark collection that contains over 20,000 photographic images are presented and discussed.
doi:10.1109/ism.2007.4412374 dblp:conf/ism/ZhangY07 fatcat:uxvyune3jjd7hcefswb6opqz6i