In recent years, internet technology has grown in advance, and multimedia data-sharing
growth rates have skyrocketed. As a result, protecting multimedia data in digital networks …

Food understanding from digital media has become a challenge with important applications
in many different domains. On the other hand, food is a crucial part of human life since the …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

The problem of human detection is to automatically locate people in an image or video
sequence and has been actively researched in the past decade. This paper aims to provide …

This paper proposes two sets of novel edge-texture features, Discriminative Robust Local
Binary Pattern (DRLBP) and Ternary Pattern (DRLTP), for object recognition. By …

Abstract Unmanned Aerial Vehicles (UAVs) offer a huge amount of potential in a variety of
applications, including healthcare, medical, traffic monitoring, military, and industry. UAVs …

Drones are commonly used in numerous applications, such as surveillance, navigation,
spraying pesticides in autonomous agricultural systems, various military services, etc., due …

Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and
remote monitoring. However, they also pose serious security threats to public privacy. The …

Agricultural productivity is something on which the economy highly depends. In addition to
this, plant diseases and pests are a major problem in the agricultural sector. Their detection …

Automatic food understanding from images is an interesting challenge with applications in
different domains. In particular, food intake monitoring is becoming more and more important …