Evaluation of feature measures and similarity measures for content-based retrieval
Wu, Jiankang Lam, Chianprong Senthilkumar, G.
Senthilkumar, G.
Citations
Altmetric:
Alternative Title
Abstract
Evaluation is a critical issue in any information systems. This problem has become more and more important with the rapid development of multimedia systems. Feature measures and similarity measures play a central role in content-based retrieval. Evaluation of their effectiveness and efficiency then become a key issue in assessing the performance of a content-based multimedia system. A learning algorithm has been studied to find a suitable and hopefully the best similarity function for a given set of feature measure and a given set of training data set.
Keywords
Source Title
Proceedings of SPIE - The International Society for Optical Engineering
Publisher
Series/Report No.
Collections
Rights
Date
1995
DOI
Type
Conference Paper