Image retrieval is one of the hot research topics in computer vision which has been paid
much attention by researchers in the last decade. Image retrieval refers to retrieving more …

The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …

In recent years, we have witnessed a massive growth in the generation of images on the
cyberspace which demands to develop automated solutions for effective content …

This paper proposes a new hybrid framework for Content-Based Image Retrieval (CBIR)
system to address the accuracy issues associated with the traditional image retrieval …

The multimedia content generated by devices and image processing techniques requires
high computation costs to retrieve images similar to the user's query from the database. An …

With the recent evolution of technology, the number of image archives has increased
exponentially. In Content-Based Image Retrieval (CBIR), high-level visual information is …

In this paper we propose a novel image representation method that characterizes an image
as a spatiogram--a generalized histogram--of colors quantized by Gaussian Mixture Models …

This paper presents a novel framework for color image retrieval through combination of all
the low level features, which gives higher retrieval accuracy. The Color Difference Histogram …

Recently, content-based image retrieval (CBIR) system seems to be very challenging in
research fields due to the growth of multimedia contents on the internet. Every day billions of …

In this paper, a three stage hierarchical image retrieval scheme using a color, texture and
shape visual contents (or descriptors) is proposed, since single visual content is not produce …