To extract decisive features from gesture images and solve the problem of information
redundancy in the existing gesture recognition methods, we propose a new multi-scale …

Efficient algorithms, intelligent approaches, and intensive use of computers are crucial to
extracting reliable information from large-scale data sets. It is the case, for example, in …

Recently, DNA encoding has shown its potential to store the vital information of the image in
the form of nucleotides, namely, and, with the entire sequence following run-length and GC …

The main challenge of content-based image retrieval systems is the difference between how
images are described using algorithms and how humans understand the semantic concepts …

Recently, content-based image retrieval (CBIR) based on bag-of-visual-words (BoVW)
model has been one of the most promising and increasingly active research areas. In this …

Due to the expansion of multimedia data leveraged by social networks and smartphone
devices, large sets of information are available and increasing daily. In this context …

The traditional annotation-based medical image retrieval faces a problem with competence
and precision with the extensive medical image databases. Broad research has been …

This paper proposed a novel texture feature extraction technique for radar remote sensing
image retrieval application using adaptive tetrolet transform and Gray level co-occurrence …

DNA carries the genetic information of almost all the living beings on the earth. The flow of
genetic information takes place by a series of transcription and translation reactions in which …

The goal of a content-based image retrieval (CBIR) framework is to enable users to
efficiently retrieve images from a large database based on the visual content of the images …