International Journal of Computer Vision
A relevance feedback mechanism for content-based image retrieval
Information Processing and Management: an International Journal
Performance evaluation in content-based image retrieval: overview and proposals
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Spatial Size Distributions: Applications to Shape and Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Dissimilarity representations allow for building good classifiers
Pattern Recognition Letters
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Multiple Example Queries in Content-Based Image Retrieval
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Improving image retrieval performance by inter-query learning with one-class support vector machines
Neural Computing and Applications
Nearest-Prototype Relevance Feedback for Content Based Image Retrieval
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Nonparametric Discriminant Analysis in Relevance Feedback for Content-Based Image Retrieval
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
A new framework to combine descriptors for content-based image retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
IEEE Transactions on Pattern Analysis and Machine Intelligence
Applying logistic regression to relevance feedback in image retrieval systems
Pattern Recognition
A nearest-neighbor approach to relevance feedback in content based image retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
A relevance feedback CBIR algorithm based on fuzzy sets
Image Communication
Combining similarity measures in content-based image retrieval
Pattern Recognition Letters
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
CLUE: cluster-based retrieval of images by unsupervised learning
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
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors
IEEE Transactions on Neural Networks
Computer Vision and Image Understanding
An endmember-based distance for content based hyperspectral image retrieval
Pattern Recognition
Online metric learning methods using soft margins and least squares formulations
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
An improved distance-based relevance feedback strategy for image retrieval
Image and Vision Computing
Hi-index | 0.01 |
This paper presents a novel probabilistic framework to process multiple sample queries in content based image retrieval (CBIR). This framework is independent from the underlying distance or (dis)similarity measures which support the retrieval system, and only assumes mutual independence among their outcomes. The proposed framework gives rise to a relevance feedback mechanism in which positive and negative data are combined in order to optimally retrieve images according to the available information. A particular setting in which users interactively supply feedback and iteratively retrieve images is set both to model the system and to perform some objective performance measures. Several repositories using different image descriptors and corresponding similarity measures have been considered for benchmarking purposes. The results have been compared to those obtained with other representative strategies, suggesting that a significant improvement in performance can be obtained.