Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Fast identification of visual documents using local descriptors
Proceedings of the eighth ACM symposium on Document engineering
High-dimensional descriptor indexing for large multimedia databases
Proceedings of the 17th ACM conference on Information and knowledge management
Advanced Techniques in CBIR: Local Descriptors, Visual Dictionaries and Bags of Features
SIBGRAPI-TUTORIALS '09 Proceedings of the 2009 Tutorials of the XXII Brazilian Symposium on Computer Graphics and Image Processing
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In this paper, we evaluate different geometric consistency schemes, which can be used in tandem with an efficient architecture, based on voting and local descriptors, to retrieve multimedia documents. In many contexts the geometric consistency enforcement is essential to boost the retrieval performance. Our empirical results show however, that geometric consistency alone is unable to guarantee high-quality results in databases that contain too many non-discriminating descriptors.