Lire

Lire: An Open Source Java Content Based Image Retrieval Library. The LIRE (Lucene Image REtrieval) library provides a simple way to retrieve images and photos based on their color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR). Several different low level features are available, such as MPEG-7 ScalableColor, ColorLayout, and EdgeHistogram, Auto Color Correlogram, PHOG, CEDD, JCD, FCTH, and many more. Furthermore simple and extended methods for searching the index and result browsing are provided by LIRE. LIRE scales well up to millions of images with hash based approximate indexing. The LIRE library and the LIRE Demo application as well as all the source are available under the Gnu GPL license.


References in zbMATH (referenced in 3 articles )

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  1. Alham, Nasullah Khalid; Li, Maozhen; Liu, Yang; Hammoud, Suhel: A MapReduce-based distributed SVM algorithm for automatic image annotation (2011)
  2. Chatzichristofis, Savvas A.; Boutalis, Yiannis S.: Content based radiology image retrieval using a fuzzy rule based scalable composite descriptor (2010) ioport
  3. Lux, Mathias; Marques, Oge; Schöffmann, Klaus; Böszörmenyi, Laszlo; Lajtai, Georg: A novel tool for summarization of arthroscopic videos (2010) ioport