Ciao Andrea,
you are perfectly right, I did not think about this use case.
We can do this, I can resurrect my tests again, but if we then want to
make the quantization algorithm pluggable, I'd need your help for the
integration.
Do we have a deal?

Simone.
-------------------------------------------------------
Eng. Simone Giannecchini
GeoSolutions S.A.S.
Owner - Software Engineer
Via Carignoni 51
55041  Camaiore (LU)
Italy

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http://www.geo-solutions.it
http://simboss.blogspot.com/
http://www.linkedin.com/in/simonegiannecchini

-------------------------------------------------------



On Fri, Nov 14, 2008 at 10:16 AM, Andrea Aime <[EMAIL PROTECTED]> wrote:
> Simone Giannecchini ha scritto:
>> been there than that :-)
>>
>> The algorithm we use is a (super) optimized version of the octtree
>> algorithm. Notice this sentence in the documents pointed out in the
>> blog post:
>> "The quantizer is fairly slow compared to median cut or octree methods".
>> NeuQuant gives good quality but if you want to use it in place like we
>> do (the guy is doing offline preprocessing) ou'd give up a lot in
>> terms of speed.
>>
>> I should still have around the speed tests I had made with the various
>> algorithms, I could put them somewhere (I have a blog as well! :-) ).
>> Anyway, there are others novel algorithms that we could try and
>> implement but I wonder if ATM it is worth the effort, I think there
>> are many other things that we could optimize with a similar effort.
>> Mmmmmmhhh, probably topic for an intern.
>
> I agree that for the use case of online data serving having a slow
> encoder is not the best option. Yet, for a tile cached set, provided
> you have enough processing power to handle either the pre-seeding
> or the on line tile generation, it makes sense to offset lower
> performance for good quality, as the cost of producing the
> tiles becomes a one time only one.
>
> Cheers
> Andrea
>
> --
> Andrea Aime
> OpenGeo - http://opengeo.org
> Expert service straight from the developers.
>
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