Multimedia Tools and Applications

The fluctuating workloads like cloud requests and the unpredictable resource usage of Virtual machines (VMs) with variable resource characterizations might lead the servers to a non-equilibrium condition. It is thereby causing low resource ...

This survey presented a discussion of the existing scaling factor and adaptive scaling factor in image watermarking schemes. The discussion included several issues: robustness, imperceptibility and computational time for embedding a watermark. ...

Natural language classification and determination based on a particular content and dataset is carried out using Spoken Language Identification (LID) which typically involves the extraction of valuable elements in a mature data processing ...

Eye movement perimetry (EMP) is a paradigm developed to assess the visual field without the necessity of suppressing the natural eye movements during the test. Unlike the standard automated perimetry (SAP) where the patient’s responses are ...

To respond the digital infringement quickly and effectively in the fifth-generation (5G) new environment, a novel spatial-domain watermarking method combining discrete Tchebichef transform (DTT) is proposed in this paper. Based on the energy ...

Sitting balance is an important aspect of overall motor control, particularly for individuals who are not able to stand. Typical clinical assessment methods for sitting balance rely on human observation, making them subjective, imprecise, and ...

Emotion recognition using electroencephalography (EEG) is becoming an interesting topic among researchers. It has made a remarkable entry in the domain of biomedical, smart environment, brain-computer interface (BCI), communication, security, and ...

Automatic rice variety identification or quality analysis is a challenging task in image processing and reflects advanced insights into agricultural research with the help of emerging computational technologies. It is the process of identifying ...

The transmission of images via the Internet has grown exponentially in the past few decades. However, the Internet considered as an insecure method of information transmission may cause serious privacy issues. To overcome such potential security ...

Crop disease serves as a major threat to the farming sector. Due to the increased utilization of smartphones, it is now possible to leverage the technology and apply it for the betterment of the farming sector. The agricultural sector struggles in ...

Image processing is a key research area in computer vision that recognizes images and assigns labels to the extracted features. This new paradigm has recently received significant attention in biometric features that aid in the identification of ...

Stock price prediction is one of the most important aspects of business investment plans, and has been an attractive research topic for both researchers and financial analysts. Many previous studies indicated the effectiveness of social media ...

Visual saliency detection is usually regarded as an image pre-processing method to predict and locate the position and shape of saliency regions. However, many existing saliency detection methods can only obtain the local or even incorrect ...

Over the last few decades, the expansion of technology and the internet has led to the number of users proliferating on social media, with a simultaneous increase in hate speech. A critical concern is, hate speech is not only responsible for ...

Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and accounts for 6 of every 7-skin cancer related death. Moreover, ...

An educational game aims to employ the pleasant and fascinating environment of a game for educational purpose. However, when the game’s educational content or playing environment does not match with the player’s learning needs or game-playing ...

Video based motion analysis, which aims to acquire the whole posture data by simple camera and without placing sensors on the body parts, has become the major analysis method in the sport domain. However, most video based motion analysis ...

With the growing volume of data, mining Frequent Itemsets remains of paramount importance. These have applications in various domains such as market basket analysis, clustering, classification, software bug detection web-mining to name a few. Over ...

This paper proposes a novel medical image cryptogram technology based on a fast and robust fuzzy C-means clustering image segmentation method and deoxyribonucleic acid encoding. In our method, first, the medical image is divided into background ...

Digital images acquired via electronic products are prone to corruption by various noises among which Salt & Pepper noise is one such variant. In cases of corruption by said noise, it is important to apply image restoration techniques that ...

Accurate segmentation of lung nodules with low contrast boundaries in CT images is a challenging task since the intensity of nodules and non-nodules overlap with each other. This work proposes a lung nodule segmentation scheme based on least ...

Dental caries is one of the most chronic diseases involving the majority of the population during their lifetime. Caries lesions are typically diagnosed by general dentists relying only on their visual inspection using dental x-rays. In many cases,...

Ensemble learning constructs strong classifiers by training multiple weak classifiers, and is widely used in text classification field. In order to improve the text classification accuracy, a text length considered adaptive bootstrap aggregating (...

Underwater environment is complex and changeable. In order to obtain more underwater environment information. The larger the field of view of underwater images collected by ROV, the more information is contained. Effective methods to obtain large ...

This paper presents an approach for identifying fingerprints through the extraction of geometric and statistical features of characteristic Minutiae. The proposed approach is in accordance with statistical features to extract important points from ...

The Versatile Video Coding (VVC) was finalized in July 2020 by the Joint Video Experts Team (JVET). During the standardization process, many coding techniques were investigated in order to provide superior coding efficiency with high level of ...

Click-through rate (CTR) prediction is of crucial significance to computational advertising and recommendation systems. In recent years, deep learning has shown great potential in personalized recommendation. However, existing studies ignored the ...

The deadliest form of skin lesion is known as melanoma. Detection of melanoma at earlier stages significantly raises the rate of survival. Nevertheless, the precise detection of melanoma is very challenging for reasons like lower contrast among ...

Since the beginning of the covid-19 crisis, people from all over the world have used social media platforms to publish their opinions, sentiments, and ideas about the coronavirus epidemic and their news. Due to the nature of social networks, users ...

Image blind denoising aims at removing the unknown noise from given images to improve the image’s visual quality. Current blind denoisers can be categorized into two classes, i.e., traditional and deep learning-based methods. Generally, deep ...