Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Term-relevance computations and perfect retrieval performance
Information Processing and Management: an International Journal
Optimization of relevance feedback weights
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
An eigenspace update algorithm for image analysis
Graphical Models and Image Processing
A novel relevance feedback technique in image retrieval
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Using Bayesian classifier in relevant feedback of image retrieval
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Relevance Feedback and Category Search in Image Databases
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
An effective region-based image retrieval framework
Proceedings of the tenth ACM international conference on Multimedia
Multi-class relevance feedback content-based image retrieval
Computer Vision and Image Understanding
Facilitate knowledge communications
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Image database retrieval utilizing affinity relationships
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Incremental semi-supervised subspace learning for image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Coevolutionary feature synthesized EM algorithm for image retrieval
Proceedings of the 13th annual ACM international conference on Multimedia
A comprehensive analysis for relevance feedback in CBIR system
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
An adaptive classification method for multimedia retrieval
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
A review of text and image retrieval approaches for broadcast news video
Information Retrieval
Feature synthesized EM algorithm for image retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Locality sensitive semi-supervised feature selection
Neurocomputing
Image retrieval using nonlinear manifold embedding
Neurocomputing
Image retrieval based on incremental subspace learning
Pattern Recognition
Weighting visual features with pseudo relevance feedback for CBIR
Proceedings of the ACM International Conference on Image and Video Retrieval
Object-based image retrieval using the statistical structure of images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Ordinal preserving projection: a novel dimensionality reduction method for image ranking
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Ordinal regularized manifold feature extraction for image ranking
Signal Processing
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In the past few years, relevance feedback (RF) has been used as an effective solution for content-based image retrieval (CBIR). Although effective, the RF-CBIR framework does not address the issue of feature extraction for dimension reduction and noise reduction. In this paper, we propose a novel method for extracting features for the class of images represented by the positive images provided by subjective RF. Principal Component Analysis (PCA) is used to reduce both noise contained in the original image features and dimensionality of feature spaces. The method increases the retrieval speed and reduces the memory significantly without sacrificing the retrieval accuracy.