Algorithms for clustering data
Algorithms for clustering data
Experiments with a featureless approach to pattern recognition
Pattern Recognition Letters - special issue on pattern recognition in practice V
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual information retrieval
Probabilistic feature relevance learining for content-based image retrieval
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Relational discriminant analysis
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based query of image databases: inspirations from text retrieval
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Relevance feedback techniques in image retrieval
Principles of visual information retrieval
Mix and match features in the ImageRover search engine
Principles of visual information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Integrated Browsing and Querying for Image Databases
IEEE MultiMedia
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Transactions on Knowledge and Data Engineering
Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Efficient Query Refinement for Image Retrieval
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and 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
Dissimilarity representation in multi-feature spaces for image retrieval
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Further results on dissimilarity spaces for hyperspectral images RF-CBIR
Pattern Recognition Letters
| Hi-index | 0.00 |
Relevance feedback mechanisms are adopted to refine image-based queries by asking users to mark the set of retrieved images as being relevant or not. In this paper, a relevance feedback technique based on the "dissimilarity representation" of images is proposed. Each image is represented by a vector whose components are the similarity values between the image itself and a "representation set" made up of the images retrieved so far. A relevance score is then assigned to each image according to its distances from the sets of relevant and non-relevant images. Three techniques to compute such relevance scores are described. Reported results on three image databases show that the proposed relevance feedback mechanism allows attaining large improvements in retrieval precision after each retrieval iteration. It also outperforms other techniques proposed in the literature.