Geometry of the Cramer-Rao bound
Signal Processing
On the Accuracy of Zernike Moments for Image Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling score distributions for combining the outputs of search engines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A Bayesian Framework for Content-Based Indexing and Retrieval
DCC '98 Proceedings of the Conference on Data Compression
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Negative Samples Analysis in Relevance Feedback
IEEE Transactions on Knowledge and Data Engineering
Query Reformulation for Content Based Multimedia Retrieval in MARS
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
An interactive approach for CBIR using a network of radial basis functions
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Multitraining Support Vector Machine for Image Retrieval
IEEE Transactions on Image Processing
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Query feedback for interactive image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Generalized nonlinear relevance feedback for interactive content-based retrieval and organization
IEEE Transactions on Circuits and Systems for Video Technology
Which Components are Important for Interactive Image Searching?
IEEE Transactions on Circuits and Systems for Video Technology
Statistical active learning in multilayer perceptrons
IEEE Transactions on Neural Networks
Learning similarity measure for natural image retrieval with relevance feedback
IEEE Transactions on Neural Networks
Online learning of relevance feedback from expert readers for mammogram retrieval
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine
ACM Transactions on Intelligent Systems and Technology (TIST)
An endmember-based distance for content based hyperspectral image retrieval
Pattern Recognition
Active SVM-based relevance feedback using multiple classifiers ensemble and features reweighting
Engineering Applications of Artificial Intelligence
| Hi-index | 0.02 |
This paper presents an adaptable content-based image retrieval (CBIR) system developed using regularization theory, kernel-based machines, and Fisher information measure. The system consists of a retrieval subsystem that carries out similarity matching using image-dependant information, multiple mapping subsystems that adaptively modify the similarity measures, and a relevance feedback mechanism that incorporates user information. The adaptation process drives the retrieval error to zero in order to exactly meet either an existing multiclass classification model or the user high-level concepts using reference-model or relevance feedback learning, respectively. To facilitate the selection of the most informative query images during relevance feedback learning a new method based upon the Fisher information is introduced. Model-reference and relevance feedback learning mechanisms are thoroughly tested on a domain-specific image database that encompasses a wide range of underwater objects captured using an electro-optical sensor. Benchmarking results with two other relevance feedback learning methods are also provided.