Hello Stan, Great question. I come across with one such implementation based on lucene. Its called LIRE . This is an open source project. http://www.lire-project.net/ You might get some ideas there. Please let me know if you find answers to your specific questions there. I'm curious.
Thanks Phaneendra On Thu, Aug 6, 2015 at 12:39 PM, Estanislao Oubel < estanislao.ou...@gmail.com> wrote: > Hello everybody, > > I'm currently investigating methods for content-based image retrieval. In > this context, I would like to index documents containing arrays of doubles > and then perform an approximate search based on these arrays. For example, > I would like to insert in the index three documents (d1,d2,d3) containing a > field called feature1, a vector of doubles of dimension 3: > > d1_feature1 = [0.5 1.8 2.4]. > d2_feature1 = [30.1 0 9.1]. > d3_feature1 = [0.6 5.8 2.0]. > > Now, I would like that lucene gives me d1 when I search a document > containing [0.51 1.79 2.41] (because d1 is the closest one according to a > distance L1 for example). > > Is it possible to do this type of things with lucene? More specifically: > 1. Does lucene support arrays of doubles as field type? > 2. Is it possible to search documents based on custom distances between > these arrays? > > If so, can you provide some clues about how to implement it? (fields types > and classes to use, or an example) > > Thanks! > > Stan >
