Information Retrieval
A compact and efficient image retrieval approach based on border/interior pixel classification
Proceedings of the eleventh international conference on Information and knowledge management
BAS: a perceptual shape descriptor based on the beam angle statistics
Pattern Recognition Letters
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Color Co-occurence Descriptors for Querying-by-Example
MMM '98 Proceedings of the 1998 Conference on MultiMedia Modeling
Cluster-based retrieval using language models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Re-ranking algorithm using post-retrieval clustering for content-based image retrieval
Information Processing and Management: an International Journal
Semi-supervised learning with graphs
Semi-supervised learning with graphs
Document re-ranking using cluster validation and label propagation
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Layered Graph Matching with Composite Cluster Sampling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distances Correlation for Re-ranking in Content-Based Image Retrieval
SIBGRAPI '10 Proceedings of the 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images
Beyond pairwise shape similarity analysis
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Coloring local feature extraction
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Exploiting pairwise recommendation and clustering strategies for image re-ranking
Information Sciences: an International Journal
Multimedia multimodal geocoding
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Image re-ranking and rank aggregation based on similarity of ranked lists
Pattern Recognition
A scalable re-ranking method for content-based image retrieval
Information Sciences: an International Journal
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This paper presents the Distance Optimization Algorithm (DOA), a re-ranking method aiming to improve the effectiveness of Content-Based Image Retrieval (CBIR) systems. DOA considers an iterative clustering approach based on distances correlation and on the similarity of ranked lists. The algorithm explores the fact that if two images are similar, their distances to other images and therefore their ranked lists should be similar as well. We also describe how DOA can be used to combine different descriptors and then improve the quality of results of CBIR systems. Conducted experiments involving shape, color, and texture descriptors demonstrate the effectiveness of our method, when compared with state-of-the-art approaches.