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The GRire library is a light-weight but complete framework for implementing CBIR (Content Based Image Retrieval) methods. Currently, the main objective of the project is the implementation of BOVW (Bag of Visual Words) methods so, apart from the image analysis tools, it offers methods from the field of IR (Information Retrieval), e.g. weighting models such as SMART and Okapi, adjusted to meet the Image Retrieval perspective.
The purpose of the project is to help developers create and distribute their methods and test the performance of their BOVW systems in actual databases with minimum effort and without having to deal with every aspect of the model.
Please cite:
Lazaros T. Tsochatzidis, Chryssanthi Iakovidou, Savvas A. Chatzichristofis, and Yiannis S. Boutalis. 2013. Golden retriever: a Java based open source image retrieval engine. In Proceedings of the 21st ACM International Conference on Multimedia (MM ’13).
Features
- Variety of feature extractors, clustering algorithms and weighting schemes.
- Easy-to-use Indexing and Querying procedures
- Very easily extensible with plugin system
- Fast and efficient disk database
- Frontent GUI using JavaFX
Project Samples
