Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Randomized Clustering Forests for Image Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
ImageTerrier: an extensible platform for scalable high-performance image retrieval
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Detecting friday night party photos: semantics for tag recommendation
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
LIRE: open source image retrieval in Java
Proceedings of the 21st ACM international conference on Multimedia
Open source column: OpenIMAJ - intelligent multimedia analysis in Java
ACM SIGMultimedia Records
Duplicate detection approaches for quality assurance of document image collections
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
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OpenIMAJ and ImageTerrier are recently released open-source libraries and tools for experimentation and development of multimedia applications using Java-compatible programming languages. OpenIMAJ (the Open toolkit for Intelligent Multimedia Analysis in Java) is a collection of libraries for multimedia analysis. The image libraries contain methods for processing images and extracting state-of-the-art features, including SIFT. The video and audio libraries support both cross-platform capture and processing. The clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms. The clustering library makes it possible to easily create BoVW representations for images and videos. OpenIMAJ also incorporates a number of tools to enable extremely-large-scale multimedia analysis using distributed computing with Apache Hadoop. ImageTerrier is a scalable, high-performance search engine platform for content-based image retrieval applications using features extracted with the OpenIMAJ library and tools. The ImageTerrier platform provides a comprehensive test-bed for experimenting with image retrieval techniques. The platform incorporates a state-of-the-art implementation of the single-pass indexing technique for constructing inverted indexes and is capable of producing highly compressed index data structures.