International Journal of Computer Vision
A compact and efficient image retrieval approach based on border/interior pixel classification
Proceedings of the eleventh international conference on Information and knowledge management
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Re-ranking algorithm using post-retrieval clustering for content-based image retrieval
Information Processing and Management: an International Journal
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 16th international conference on World Wide Web
Global ranking by exploiting user clicks
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning to rank for content-based image retrieval
Proceedings of the international conference on Multimedia information retrieval
Co-transduction for shape retrieval
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Balancing deformability and discriminability for shape matching
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Exploiting contextual information for image re-ranking
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
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
Multimodal re-ranking of product image search results
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Image re-ranking and rank aggregation based on similarity of ranked lists
Pattern Recognition
A framework for selection and fusion of pattern classifiers in multimedia recognition
Pattern Recognition Letters
A scalable re-ranking method for content-based image retrieval
Information Sciences: an International Journal
Using contextual spaces for image re-ranking and rank aggregation
Multimedia Tools and Applications
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The objective of Content-based Image Retrieval (CBIR) systems is to return the most similar images given an image query. In this scenario, accurately ranking collection images is of great relevance. In general, CBIR systems consider only pairwise image analysis, that is, compute similarity measures considering only pair of images, ignoring the rich information encoded in the relations among several images. This paper presents a novel re-ranking approach based on contextual spaces aiming to improve the effectiveness of CBIR tasks, by exploring relations among images. In our approach, information encoded in both distances among images and ranked lists computed by CBIR systems are used for analyzing contextual information. The re-ranking method can also be applied to other tasks, such as: (i) for combining ranked lists obtained by using different image descriptors (rank aggregation); and (ii) for combining post-processing methods. We conducted several experiments involving shape, color, and texture descriptors and comparisons to other post-processing methods. Experimental results demonstrate the effectiveness of our method.