Questions tagged [cbir]

Content-based image retrieval is a method for retrieving images from databases by using the actual content of images. Given an input query image, images returned from the database are those that look visually similar to the query, or those that have similar features to the query.

Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. (see this survey1 for a recent scientific overview of the CBIR field). Content based image retrieval is opposed to concept based approaches. wikipedia

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Fast method for key-point based image matching [Python]

The scenario is, Let's suppose I took random images from my Gallery and put in some folder, and also print these image in hard form. Now I turned on my laptop camera and place an image in front of camera, My code need the tell the name of matching…
Qazi Ammar
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Why i get this "TypeError: string indices must be integers" on scores line?

I just try to make retrieval images with python and pre-trained CNN VGG16. can someone explain me the error please import matplotlib.pyplot as plt import numpy as np img =…
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Zernike moment as Shape descriptor doesn't work

I m working to create a CBIR, I want to use Zernike moment to get shape feature of a query image. I try to implement it by following this tutoriel: https://pyimagesearch.com/2014/05/19/building-pokedex-python-comparing-shape-descriptors-opencv/ But…
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Morphological Gradients

I was trying to learn a few things on CBIR(content-based Information Retrieval). To do so I try to implement research papers and in one of the papers [link], the following is mentioned. My main doubt is in step 3, I have done some digging on this…
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Comparing images for similarity using SIFT + bag of words

I'm trying to write a program that identifies which images in a directory are similar to a query image, which is similar to but often slightly different from images in the directory. There are thousands of images in the directory. This question ​is…
busterroni
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Are there any ways to build an ML model using CBIR and SIFT for image comparison in my case?

I have this project I'm working on. A part of the project involves multiple test runs during which screenshots of an application window are taken. Now, we have to ensure that screenshots taken between consecutive runs match (barring some allowable…
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How to normalize feature-wise and sample-wise?

I'm implementing a content-based image retrieval (CBIR) based on feature extraction by histogram, HOG and local binary pattern. Each of these (normalized) feature extractions are stored separately in a csv file to calculate distances in the further…
Viktoria
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How to evaluate CBIR system without having a ground truth?

As my database I have a bunch of images of the same class - which means I do have only one class of images. After implementing a CBIR (feature extraction by histograms and calculating distance by euclidean - very naive approach, nothing fancy), I…
Viktoria
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Bag of Visual Words (obtained from features) for CBIR. Steps?

I'm very confused about the steps to follow to use BOVW for CBIR. I found a lot of literature about classification, machine learning and SVM but it is not quite what I'm looking for. My problem is related to searching image similarity in a database…
Furin
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opencv program crash after matching descriptors

I'm using SIFT descriptor and FLANN matcher to get the minimum distance of the matches between two pictures. The first picture is a query picture and the second picture is from the dataset. I want to load the second picture one by one using a loop,…
Wendy
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LireSolr gives irrelevant results when queried and the result changes everytime for the same data set used

I have used the LireSolr and indexed around a 1000 images. Now i try to obtain a similar image from google, that is, if there is a black bag in the indexed data I get a black bag and I try to obtain histograms using above flow and for JCD,…
Manali
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3D HSV image histogram in Matlab, with different no. of bins for each channel?

I am working on developing a CBIR system where I am using HSV histogram as one of my features. For each image I want to compute a histogram which has say n1 bins for hue, n2 for saturation and n3 for value. I want a vector which will be n1xn2xn3…
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How does CBIR work with SVM instead of Euclidean distance?

Generally CBIR works with Euclidean distance for comparing a query image and a database image feature vectors. However in math works, I got a source code that instead of Euclidean distance it is done with SVM, like a content based image retrieval…
latha
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how can I fix this error code in cbir using wavelet transform and color histogram?

I have a project of CBIR using wavelet transform and color histogram. I perform re-experiment from Singha and Hemachandran research. I have tried to code it, but when image was added in database, it has been error. The error message states : Error…
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How can i apply SVM or deep neural network for image retrieval

After obtaining the image dataset, the feature database is constructed for all images which is a vector based on mean and sd of RGB color model and HSV color model for a portion of the image. How can I use a svm to retieve related images from the…
cseml
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