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 …

Adopting effective model to access the desired images is essential nowadays with the
presence of a huge amount of digital images. The present paper introduces an accurate and …

Electrocorticograms (ECoG) provide a unique opportunity to monitor neural activity directly
at the cortical surface. Ten patients with subdural electrodes covering ventral and lateral …

One of the main characteristics of Internet era is the free and online availability of extremely
large collections of images located on distributed and heterogeneous platforms over the …

The current scenario of image retrieval pays attention to local texture patterns. The recently
proposed Local Tetra Pattern (LTrP) represents the image by the directional information and …

The paper presents innovative content based image retrieval (CBIR) techniques based on
feature vectors as fractional coefficients of transformed images using DCT and Walsh …

This paper presents an approach for leveraging the abundance of images posted on social
media like Twitter for large scale 3D reconstruction of cultural heritage landmarks. Twitter …

Abstract Content-Based Image Retrieval (CBIR) method analyzes the content of an image
and extracts the features to describe images, also called the image annotations (or called …

The paper discusses novel image retrieval methods based on shape features extracted
using gradient operators and slope magnitude technique with Block Truncation Coding …

The desire of better and faster retrieval techniques has always fuelled to the research in
content based image retrieval (CBIR). The extended comparison of innovative content …