Hi Mathias I delved a bit further in the lucene docs and the book "Lucene in action" (Ch 6.1, pp194-201): an alternative approach may be the use of a custom sort with a dedicated implementation of the SortComparatorSource, taking as arguments the array of vectors for which a "distance" needs to be calculated.
As a custom sort operates on a single field, the three Lire vectors should be encoded in a single fields as well (as far as I understand the API). The query could then be the MatchAllDocsQuery query (or for example a keyword query for having a subset) combined with other filters which limit the result to sort on even further. I do not know the impact on performance though, this is still pure theoretical and based on my (currently limited) understanding of Lucene and Lire. Best regards --paul On 8/8/06, Mathias Lux <[EMAIL PROTECTED]> wrote:
Hi! I'm working in my spare time on Lire, a content based image retrieval library (searching for similar looking images in other words, see http://www.semanticmetadata.net/lire) based on Lucene. As the cbir features are medium sized integer vectors I put them into fields, and read them with the IndexReader within a linear search through the whole index for matching: As soon as a query is issued (which is also an integer vector) I go through every doc, get the corresponding feature vector and calculate the distance (L1 or L2, depending on the type of feature). Do you have any idea if and how I could implement a linear search (L1/L2 distance on integer vectors) using scorers, so that filters and other features can be used? regards, Mathias ps. Yes I know that this is in general easy to implement within a database, which I have done for oracle, mysql and derby .... but people do want the lucene implementation and believe it or not: Lucene is super fast for linear search -> THX to the lucene team ;) -- ' ' ' ' ' ' Mathias Lux o/ ' \o [EMAIL PROTECTED] /-' -\ skype://dermotte, icq # 1988617 /\ /\ http://www.SemanticMetadata.net --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
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