Multimedia Tools and Applications

Human conversational styles are measured by the sense of humor, personality, and tone of voice. These characteristics have become essential for conversational intelligent virtual assistants. However, most of the state-of-the-art intelligent ...

In 2006 X. Zhang and S, Wang suggested efficient steganographic embedding by Exploiting Modification Direction (EMD) where each important secrecy bit is converted to (2n + 1) -ary notational system which produces by n pixel values where 1 pixel is ...

Wilson’s Disease (WD) is a rare, autosomal recessive disorder caused by excessive accumulation of Copper (Cu) in various human organs such as the liver, brain, and eyes. Accurate WD diagnosis is challenging because of: (1) subtle intensity ...

Based on the combination of quaternion numbers, residual matrices, and chaotic attractors, a new cryptosystem is proposed for multimedia processing files such as images and audio. The key employed in this encryption schema consists of an image ...${\mathbb{}}_{\mathrm{}}$

The existing state of the art schemes deals with the same dimension secret images but less work is available in the literature for different dimension secret images. In this paper, we have proposed an efficient multi secret image sharing scheme ...

The objective of this study is to propose an approach to detect Seizure and Non-Seizure phenomenon from the highly inconsistent and non-linear EEG signals. In the view of performing cross-subject classification over the inconsistency and non-...

Scoring of handwritten essays in school education settings is a time-consuming task. Normalized assessment and prompt feedback enable a student to improve the articulation, comprehension and overall presentation of ideas. In this work, we present ...

Cancer is a disease linked to the untamed and rapid division of cells in the body. Cancer detection through conventional methods like complete blood count is a tedious and time-consuming task prone to human errors. The introduction of image ...

A hyperspectral image is taken by infrared imaging spectrometer consist of a continuous series of hundreds of bands. These bands collect spectral information across the electromagnetic spectrum. The presence of high spectral correlation among the ...

In this paper, the proposed approach categories the sentences in the dataset into the various topical documents using the TE-LSTM+SC model. As well as, the model generates semantic words related to topics that are fed into the word embedding like ...

Significant rise in illegal activity has directly impacted socioeconomic growth and quality of life. In this article, a predictive crime data analysis framework has been proposed that can resolve the problem of scalability issues and accuracy ...

A two-dimensional coupled discrete chaotic system is constructed by combining a two-dimensional coupled map lattice with a dynamic discrete tent map. The system has good initial value sensitivity and can quickly generate multi-dimensional integer ...

One method for securing multimedia data, and images in particular, from malicious attacks is watermarking, which involves adding a signature to the images. Traditional watermarking techniques, however, have drawbacks when used on sensitive images ...

Electronic medical records are considered the main component in the health organizations’ system. Recently, the reputation of medical information patients and their privacy is very imperative in the healthcare realm. Therefore, this information is ...

Deepfake, which superimpose an image of one person’s face on another person’s image. However, the number of malicious Deepfake uses is largely dominant. Deepfake technology has also improved in recent years, making previously effective detection ...

Text mining methods usually use statistical information to solve text and language-independent procedures. Text mining methods such as polarity detection based on stochastic patterns and rules need many samples to train. On the other hand, ...

Many advanced technologies have been developed in the medical field where leukaemia plays a vital role, which may cause serious issues when it is unidentified. In the convolution method, human error may occur, so to avoid it, many tools have been ...

Superpixel become increasingly popular in image segmentation field as it greatly helps image segmentation techniques to segment the region of interest accurately in noisy environment and also reduces the computation effort to a great extent. ...

With the popularity of surveillance equipment and the rise of intelligent surveillance, video anomaly detection has gradually become a research hotspot. Among them, for video processing, the three-channel video frame data can be directly used as ...

Crop diseases are one of the primary triggers of yield devastation. As a result, early detection of crop diseases is critical to avert crop losses. In this study, a Deep-Dream (DD) based crop leaf disease detection (CLDD) architecture is proposed ...

The substantial involvement of Adaptive User Interfaces (AUI) in providing adaptive and accessible interactive systems has created the need to establish a multimodal framework based on scalable adaptation rules. This paper presents an Adaptive ...

This paper constructs an energy model based on local features used in stereo matching. The local features include the similarity between different image areas, the matching cost function pattern, the connection between neighbor pixels, and the ...

In this paper, a dual image watermarking technique is proposed to secure the data, which utilizes the property of lifting wavelet transformation (LWT), singular value decomposition (SVD), Swarm optimization (PSO), and JAYA optimization. Dual image ...

Chaotic map has some important features such as unpredictability, ergodicity, and complexity. When chaotic map is widely used for information transmission and secure communication, its chaotic performance decides the security of encryption ...

Data security is very essential since the communication takes place in the open network. In order to protect the data techniques such as image encryption and data hiding have become very popular. In this paper, a Reversible Data Hiding (RDH) based ...

Fake news on social media, has spread for personal or societal gain. Detecting fake news is a multi-step procedure that entails analysing the content of the news to assess its trustworthiness. The article has proposed a new solution for fake news ...

Video analytics refers to the process of automatically analysing a video for spatial and temporal events. Effective video analytics require exploitation of genre-related information leading to knowledge-based video analysis. The proposed model ...

In this paper, a weak impulse signal detection method based on phase space reconstruction of chaotic time series and long-term and short-term memory neural network (LSTM) in the deep learning model is proposed. Reconstructing the phase space of ...

Pixel-wise image segmentation is key for many Computer Vision applications. The training of deep neural networks for this task has expensive pixel-level annotation requirements, thus, motivating a growing interest on synthetic data to provide ...