Take a look at the Lire project:
http://www.semanticmetadata.net/lire/
2008/4/26 Vaijanath N. Rao <[EMAIL PROTECTED]>:
> Hi Lucene-user and Lucene-dev,
>
> I want to use lucene as an backend for the Image search (Content based
> Image retrieval).
>
> Indexing Mechanism:
> a) Get the Image properties such as Texture Tamura (TT), Texture Edge
> Histogram (TE), Color Coherence Vector (CCV) and Color Histogram (CH) and
> Color Correlogram (CC) .
> b) Convert each of these vector into String and index into lucene as
> fields, thush each Image (document in terms of lucene) consist of 6 fields
> Image name, TT field, TE field, CCV field, CH field and CC field.
>
> Searching Mechanism:
> a) For the search Image convert the Image into the above 5 properties.
> b) for every field and for every value within the field construct the
> query, For example let's say the user wants to search only Color histogram
> based similarity and the query Image has 3 1 4 5 as the CH value the query
> will look like.
> query = "CH:3 CH:1CH:4 CH:5"
> c) for the results returned convert all the field values back into float
> and do the distance computation and re-rank the document with lower the
> distance on the top and larger distance at the bottom.
> for example:
> For above query assume that output has two documents
> with one having CH as "1 3 5 4" and other one having CH as " 3 1 5 4", so
> the distance computation will rank the second document higher than the
> first.
>
> Obviously there is something wrong with the above approach (as to get the
> correct document we need to get all the documents and than do the required
> distance calculation), but that' due to lack of my knowledge of Luce and
> lucene's Index storage.
>
> What I want to know how to improve upon the exsisting architecture other
> than making number of fields in the lucene equalling to total number of
> feature*size of each feature.
>
> Any other pointer will be welcomed. Is there is any Range tree
> implementation within lucene which I can use for this operation.
>
> --Thanks and Regards
> Vaijanath N. Rao
>
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