Indoor navigation has remained an active research area for the last decade. Unlike outdoor
environments, indoor environments have additional challenges, such as weak signals, low …

In content‐based image retrieval (CBIR), primitive image signatures are critical because
they represent the visual characteristics. Image signatures, which are algorithmically …

Billions of multimedia data files are getting created and shared on the web, mainly social
media websites. The explosive increase in multimedia data, especially images and videos …

Avascular Necrosis (AN) is a cause of muscular-skeletal disability. As it is common amongst
the younger people, early intervention and prompt diagnosis is requisite. This disease …

In the recent past, deep convolutional neural network (DCNN) has been used in majority of
state-of-the-art methods due to its remarkable performance in number of computer vision …

Abstract In Local Binary Pattern (LBP), the minute pixel difference introduces image noise as
the virtue of which recognition rate decreases. Or in other words, LBP and most of the other …

Human activity recognition has become one of the most active areas of research in computer
vision, due to its increasing demand in many automated monitoring applications such as …

Social media platforms such as Twitter, Facebook, and Flicker, and the evolution of digital
image capturing devices have resulted in the generation of a massive number of images …

Variations between image pixel characteristics contain a wealth of information. Extraction of
such cues can be used to describe image content. In this paper, we propose a novel …

The objective of the content-based image retrieval (CBIR) system is to retrieve the visually
identical images from the database efficiently and effectively. It is a broad research realm …