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Chez

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29 Aug 2013 Screenshot Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez image retrieval, content based image r..., classification, svm, sir i have a doubt of... 263 17
  • 4.0
4.0 | 6 ratings
29 Aug 2013 Screenshot DWT - SVD robust and secure watermarking scheme Watermarking scheme based on DWT and SVD techniques. Author: Chez watermarking, tamperproofing, steganography 164 13
  • 4.66667
4.7 | 4 ratings
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16 Nov 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez

@Pham Nhung, go to the github link provided in the description above in the "File Information" section. You will find there the reference you are looking for. Check for "reference.pdf" which explains how the dataset was obtained!

30 Jun 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez

@Drumzhead,

Dear Drumzhead,

each of the 6 features you're referring to is on its own a variable length array or a feature vector if you prefer. What that means is that for instance if we take the first feature of the 6 you mentioned which is "hsvHist" and we print its values you can see that it is not a variable or a feature corresponding to one particular value, rather it's a vector of 64 or 128 values. The same holds for the rest of the 6 features you're referring to.

Hope that helps!

21 May 2014 DWT - SVD robust and secure watermarking scheme Watermarking scheme based on DWT and SVD techniques. Author: Chez

@Eshwar Gowda: you're right I will add a readme file once I get some free time. Until then you can read my answer to @ddd hhh: about how the application works. Thanks!

18 May 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez

@Sun-hwa,

You have to be aware that the svm button will not work unless you configure it to work with your dataset. What do I mean is that you will have to find out how many classes you have in your dataset and configure the svm.m file accordingly.

For instance if your dataset has 10 classes total then you will have to configure either the names of the images to fall under the wang’s dataset schema or you’ll have to modify the code in svm.m file.

Notice that the wang dataset has 10 classes with 100 images each:
For instance images 0 through 99 belong to class 1
Images 100 through 199 belong to class 2
Images 200 through 299 belong to class 3
.
.
.
Etc.

So modify your dataset names of images accordingly or as I said above modify the svm.m file at the section where it creates the labels for each class.

Hope that helps.

02 Dec 2013 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez

@christopher, make sure your matlab version supports dwt2 function, and may I ask what kind of image are you inputting???

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18 Nov 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez hassan mahmood

hi everyone:
in the "function correlogram(photo, Cm, K)", "for k = 1:K"
is used as loop.
where K is passed from
distances = [1 3 5 7];
through
colorAutoCorrelogram = correlogram(rgb, map, distances)
I have read through huang paper, but couldn't get it.

1- the FOR loop is run only once for k=1 only, k=1 neighbor 8 pixels
why we pass K=[1 3 5 7] to the correlogram function?
2- why we are multiplying the values by distances?
colorAutoCorrelogram(:, :, 1) = colorAutoCorrelogram(:, :, 1)*distances(1);
colorAutoCorrelogram(:, :, 2) = colorAutoCorrelogram(:, :, 2)*distances(2);
colorAutoCorrelogram(:, :, 3) = colorAutoCorrelogram(:, :, 3)*distances(3);
colorAutoCorrelogram(:, :, 4) = colorAutoCorrelogram(:, :, 4)*distances(4);

we are not checking 3 5 7 neighbors? should we do it?
thanks for your time

16 Nov 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez Chez

@Pham Nhung, go to the github link provided in the description above in the "File Information" section. You will find there the reference you are looking for. Check for "reference.pdf" which explains how the dataset was obtained!

03 Nov 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez Pham Nhung

Sorry I do not understand what dataset represents and how you obtain it from the set of images.Can anyone explain to me?

31 Oct 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez Xing Di

Reference to non-existent field 'popupmenu_DistanceFunctions'.

Error in cbires>btnExecuteQuery_Callback (line 211)
metric = get(handles.popupmenu_DistanceFunctions, 'Value');

Error in gui_mainfcn (line 95)
feval(varargin{:});

Error in cbires (line 42)
gui_mainfcn(gui_State, varargin{:});

Error in
@(hObject,eventdata)cbires('btnExecuteQuery_Callback',hObject,eventdata,guidata(hObject))


Error while evaluating uicontrol Callback

26 Sep 2014 DWT - SVD robust and secure watermarking scheme Watermarking scheme based on DWT and SVD techniques. Author: Chez xuxiaojun

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