Multimedia Tools and Applications

An unusual increase of nerves inside the brain, which disturbs the actual working of the brain, is called a brain tumor. It has led to the death of lots of lives. To save people from this disease timely detection and the right cure is the need of ...

The widespread domain of social network analysis leads to numerous research challenges associated with it. Community detection is one of the foremost research challenges. There are several community detection methods available in literature whose ...

Affected by the COVID-19 epidemic, the final examinations at many universities and the recruitment interviews of enterprises were forced to be transferred to online remote video invigilation, which undoubtedly improves the space and possibility of ...

Traditional image processing technology has some difficulties in detecting apple diseases. For example, fruit trees, leaves, and branches can interfere with the detection of apple diseases; different diseases of apples are similar and difficult to ...

Computer vision is regarded as a promising technology which can achieve automatic surface defects detection in wood industry to reduce the manual works and improve reliability. In this study, an efficient algorithm used for natural wood defects ...

This paper presents a new authentication framework for cancelable face recognition biometrics. In recent years, biometric plays a pivotal role in Cognitive Internet of Things (C-IoT) security. The face trait solves a lot of security issues; it ...

With the development of artificial intelligence and human-computer interaction, performance of man-machine voice dialogue system is becoming better and better. We proposed a new watermark detection method based on non-parametric model to mute ...

Some of the conventional approaches to task scheduling are discussed in this section. The scheduling of tasks in the Internet of Things (IoT) application is a complex job in cloud computing due to the heterogeneity characteristics of the IoT. ...

Entity linking and relation linking are two crucial components in many question answering systems over knowledge graphs, which aim to identify the relevant entity or relation mentions in a question and link them to the target entity or relation in ...

Breast cancer, though rare in male, is very frequent in female and has high mortality rate which can be reduced if detected and diagnosed at the early stage. Thus, in this paper, deep learning architecture based on U-Net is proposed for the ...

Although an insulator is a very inconspicuous component, thousands of insulators arranged on transmission lines have played important roles in support and insulation. Methods based on deep learning have become the mainstream of insulator ...

The lenses focus only on the objects at a specific distance when an image is captured, the objects at other distances look blurred. This is referred to as the limited depth of field problem, and several attempts exist to solve this problem. Multi-...

Semantic segmentation of thermal infrared (ThIR) images is challenging because the images considered in this task are highly complex. The discrimination of image regions is very difficult, and the traditional techniques fail to discover the ...

Segmentation is an important and basic task in image processing. Although no unique method is applicable to all types of images (as thermographies), multilevel thresholding is one of the most widely used techniques for this purpose. Multilevel ...

In the past ten years, due to the rapid growth of the Internet, a huge number of cyber-crimes have been committed on the Internet. One of the crucial obstacles’ user’s encounters is the phishing website's threat, especially for login credentials ...

In recent years, deep learning has evolved as a rapidly growing and stimulating field of machine learning and has redefined state-of-the-art performances in a variety of applications. There are multiple deep learning models that have distinct ...

Facebook, Twitter, Instagram, and other social media sites allow anonymity and independence. People exert their right to free expression without fear of repercussions. However, in the absence of thorough surveillance, people have fallen prey to ...

Deep learning models for computer vision applications specifically and for machine learning generally are now the state of the art. The growth of size and complexity of neural networks has made them more and more reliable, yet in greater need of ...

In the current context, transmitting videos and the subsequent maintaining of a repository have become vital; hence, there is a greater need for compression. High Efficiency Video Coding (HEVC) is a video compression standard and is more efficient ...

Machine Translation (MT) being an emerging area of research has currently gained significant attention from researchers primarily because of incredible features offered by contemporary data scientific approaches such as machine learning, deep ...

Digital content has grown dramatically in recent years, leading to increased attention to copyright. Image watermarking has been considered one of the most popular methods for copyright protection. With the recent advancements in the application ...

Parkinson’s disease (PD) causes structural alterations thereby resulting in irreparable motor and non-motor impairments. Machine Learning (ML) has become inevitable for disease detection over the past few years. On the other hand, neuroimaging has ...

Due to the rapid popularization of the Internet age, while facing a large number of information sharing and convenience, we are also facing the fact that a large number of data have been leaked, tampered with and counterfeited. This paper presents ...

In recent days, Farmers and agriculture experts face several enduring agricultural challenges such as early detection of crop diseases like rice leaf diseases. However, severe rice diseases may lead to no grain harvest. This leads researchers to ...

The fluctuation of the bird population reflects the change in the ecosystem, which plays a vital role in ecosystem conservation. However, manual counting is still the mainstream method for bird population counting, which is time-consuming and ...

For the advancement of technologies in vehicular industry, an intelligent Software Defined Vehicular Ad-hoc Network (SDVANET) which decoupled its data and control plane providing a golden opportunity to the researchers and academicians working in ...

As a significant research hotspot in the field of computer vision, video anomaly detection plays an essential role in ensuring public safety. Anomaly detection remains a challenging task given the complex situation in public areas and the large ...

Depression is a mental illness that negatively affects a person’s thinking, action, and feeling. Thus the rate of depression is identified by analysing Electroencephalogram (EEG) signals. Because of noise, the problem of classifying depression ...

To improve the intelligent driving abilities about the day-night situation awareness and large airspace real-time acquisition, we employ a forward-looking omnidirectional infrared (FLOIR) system and propose a FLOIR pedestrian detection strategy ...