In recent years a vast amount of visual content has been generated and shared from many
fields, such as social media platforms, medical imaging, and robotics. This abundance of …

The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …

Key to effective person re-identification (Re-ID) is modelling discriminative and view-
invariant factors of person appearance at both high and low semantic levels. Recently …

Current surveillance and control systems still require human supervision and intervention.
This work presents a novel automatic handgun detection system in videos appropriate for …

In this paper we propose a model retraining method for learning more efficient convolutional
representations for Content Based Image Retrieval. We employ a deep CNN model to obtain …

In recent years a vast amount of visual content has been generated and shared from various
fields, such as social media platforms, medical images, and robotics. This abundance of …

Scene classification is a significant aspect of computer vision. Convolutional neural
networks (CNNs), a development of deep learning, are a well-understood tool for image …

Convolutional neural networks, in which each layer receives features from the previous layer
(s) and then aggregates/abstracts higher level features from them, are widely adopted for …

Skin lesion recognition is one of the most important tasks in dermoscopic image analysis.
Current Convolutional Neural Network (CNN) algorithms based recognition methods tend to …

In recent years, the number of Gun-related incidents has crossed over 250,000 per year and
over 85% of the existing 1 billion firearms are in civilian hands, manual monitoring has not …