Thanx alot. I'll try to do it and will keep posting my status as well as queries.:P
I have to figure out, what exactly does the paper explains. There are some points not clear yet. On Mon, Oct 4, 2010 at 12:14 AM, Ted Dunning <[email protected]> wrote: > Yes. Extract your features using OpenCV, then use matlab or R for your > clustering. > > What you need is good prototyping, not large-scale data mining. Mahout is > intended for scale, > not necessarily ease of use. You should focus on the problems you have and > not add additional > ones like learning a large library such as Mahout. > > On Sun, Oct 3, 2010 at 11:41 AM, gagan chhabra <[email protected] > >wrote: > > > I was proposed yo use MATLAB for this project but I had no idea so i > > somehow > > ended up here. > > Is it possible to implement in MATLAB?? > > > > > > > > On Sun, Oct 3, 2010 at 11:48 PM, Ted Dunning <[email protected]> > > wrote: > > > > > This paper had some interesting references. The problem they worked on > > was > > > different from yours, but if you > > > know something abou the training images, this might work out. The > > > something > > > might be the original web-site > > > nearby text or almost anything. > > > > > > > http://www.public.asu.edu/~huanliu/.../SBP09_3-31(Baoxin%20Li%20-4).pdf > > > > > > THis paper describes the use of Gabor transforms and histograms for > image > > > clustering: > > > > > > http://www-nlpir.nist.gov/projects/tvpubs/tv6.papers/eurecom.pdf > > > > > > HSV histogram clustering might be a reasonable scale effort for a > student > > > project. > > > > > > Another approach is to try a latent factor method to characterize > images. > > > This paper describes an image completion task on a handwritten digit > > > dataset. I am pretty sure that clustering on these latent features > would > > > give very nice clustering because they inherently have a Euclidean > metric > > > imposed on them. > > > > > > http://arxiv.org/abs/1006.2156 > > > > > > The recommendation that you use OpenCV for image extraction is a very > > good > > > one. You might want to use Mahout for clustering, but I doubt you will > > > have > > > enough images to make that worth-while. Just extracting useful > features > > > will take a long time. > > > > > > On Sun, Oct 3, 2010 at 10:33 AM, gagan chhabra < > [email protected] > > > >wrote: > > > > > > > Hello Steven Bourke, > > > > > > > > The data is actually not text. Query is an Image and database again > of > > > > images. > > > > > > > > I wanted to know how can one declare one image similar to another, in > > > > programming terms. I mean there has to some parameter of analysis or > > > > algorithm which can solve this problem. > > > > > > > > > > > > > > > > On Sun, Oct 3, 2010 at 10:44 PM, Steven Bourke <[email protected]> > > > wrote: > > > > > > > > > Where is the semantic data coming from? I think something like > lucene > > > > would > > > > > be more relevant if you are searching text based on available meta > > > data. > > > > > > > > > > On Sun, Oct 3, 2010 at 6:54 PM, Sean Owen <[email protected]> > wrote: > > > > > > > > > > > You probably want to look at Shannon's spectral clustering code? > > > > That's > > > > > > the > > > > > > closest thing I can think of in Mahout. It doesn't have much of > > > > anything > > > > > > for image processing. > > > > > > > > > > > > On Sun, Oct 3, 2010 at 5:02 PM, gagan chhabra < > > > > [email protected] > > > > > > >wrote: > > > > > > > > > > > > > Hello all, > > > > > > > > > > > > > > I am a Engineering candidate and took a project which is based > on > > > > > Machine > > > > > > > Learning. The idea is to Query-by-Image, it is a research paper > > by > > > > > > > Googlers. > > > > > > > I am not getting any point to start off. > > > > > > > > > > > > > > I don know if Mahout is of any use to me but since it is meant > > for > > > > > > Machine > > > > > > > Learnig I joined to know more about it. > > > > > > > > > > > > > > My application will go like: > > > > > > > > User eneters a query( which is an image). > > > > > > > > > > > > > > > Then the application searches for other images in database > > with > > > > same > > > > > > > semantic. > > > > > > > for example- if user enter an image of dog the app will > retrieve > > > > other > > > > > > > images of dog > > > > > > > or if user enters an image of snowy-mountain it retrieves > simila > > > > image. > > > > > > > > > > > > > > So i don get how to compare images. What metric to use to > > declare > > > > any > > > > > > > image > > > > > > > similar to query image. > > > > > > > > > > > > > > Please suggest something... any help will make a huge > difference. > > > > > > > > > > > > > > -- > > > > > > > gagan > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > -- > > > > gagan > > > > > > > > > > > > > > > -- > > gagan > > > -- gagan
