Thanks a lot to you all. I have started going through the links you all
provided.
UCI seems like a crack to me now, but whatever happens will post here.
Now, consider a set of images (P) or database and user inputs a query
image(Q)
I got some approcach, its like-
1> the set P can be partitioned in { P1 , P2....Pn },virtually,on basis of
parameter like histogram color or histogram layout.
2>Obviously: P1 U P2 U P3...U Pn = P. Also it may be possible that : P1
intersection P2 intersection...Pn != NULL set, it is because
some images may lie in more than one pattern or histogram oberved pattern.
3> the set P is partitioned on basis that images having same histogram
patterns can be listed in one set.
4>this way for one histogram patterns say *hp1 * there will be list of
images and there can be other sets as well.
5> Now the partitioned images observed pattern can be saved to compare with
Q.
6> Now the query image Q can be compared with patterns and the images of
matched pattern will be returned to user.
Is it ok... or should i give more thoughts to it..?? Any drawbacks or if i
missed out anything then please mention.
On Mon, Oct 4, 2010 at 1:34 AM, Ted Dunning <[email protected]> wrote:
> Try this:
>
> http://www.public.asu.edu/~huanliu/sbp09/Presentations/paper%20presentations/SBP09_3-31(Baoxin%20Li%20-4).pdf
>
> On Sun, Oct 3, 2010 at 12:57 PM, Federico Castanedo <[email protected]
> >wrote:
>
> > Hi Ted,
> >
> > Could you, please, post again the reference of the first paper.
> >
> >
> >
>
--
gagan
