Multimedia Tools and Applications

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 become a standard methodology to fix a large array of Computer-Aided ...

The Eqs. 5 and 9 in the original publication of this article contained an error. The original article has been corrected.

In recent years, many efficient and accurate algorithms have been proposed in the field of target tracking. The existing correlation filter(CF) based tracking expands the sample through cyclic shift and uses the position of the maximum response ...

An advanced traffic sign recognition (ATSR) system using novel pre-processing techniques and optimization techniques has been proposed. During the pre-processing of input road images, color contrasts are enhanced and edges are made clearer, for ...

In recent years point cloud has been used more and more widely in CAD and computer graphics communities due to the availability of fast and accurate laser scan devices. Many works focus on reconstructing a triangle mesh from a point cloud but few ...

In this paper, an automatic method is proposed to generate a symmetry-aware kinematic skeleton for a human body model with an arbitrary pose and orientation. First, a template kinematic skeleton with semantics is embedded into the input human body ...

In human-computer interaction (HCI) applications, the performance degradation of gaze trackers in real-world environments is a critical issue. Typically, gaze trackers utilize the pupil center and corneal reflection (CR) obtained from an infrared (...

Image classification is a hot technique applied in many multimedia systems, where both l₁ and l₂ regularizations have shown potential for robust sparse representation-based image classification. However, previous studies showed that l₁ or l₂ alone ...

Visual tracking using particle filter has been extensively investigated due to its myriad of application in the field of computer vision. However, particle filter framework performance is heavily impaired due to its inherent problems namely, ...

This paper proposes a design of 2-D chaotic Baker map for image encryption which utilizes three modes of operations: 1) the cipher block chaining (CBC) mode, 2) the cipher feedback (CFB) mode, and 3) the output feedback (OFB) mode. The proposed ...

In this paper, we propose two approaches to analyze the crowd scenes. The first one is motion units and meta-tracking based approach (MUDAM Approach). In this approach, the scene is divided into a number of dynamic divisions with coherent motion ...

Cancelable biometrics is a template protection technique proposed to bridge the growing gap between ‘biometrics for security’ and ‘security for biometrics’. Various approaches have been reported in literature, yet transforming a biometric template ...

In the era of big data, many fields produce massive images every day. To improve the security of image transmission, a multiple-image encryption algorithm based on bit planes and chaos is proposed. Firstly, k images are decomposed into 8k bit ...

New interaction paradigms combined with emerging technologies have produced the creation of diverse Natural User Interface (NUI) devices in the market. These devices enable the recognition of body gestures allowing users to interact with ...

The developments in technology have made us utilizing speech as a biometric to authenticate persons. In this paper, speech encryption and decryption algorithm are presented for enhancing the security in speech-based person authentication systems. ...

Compressive Imaging (CI) is a potential sensing technology for energy-efficient visual sensors, and its rate-distortion performance can be improved by adaptive Compressive Sensing (CS) of image. However, due to the unavailability of original image,...

Deep learning is the most active research topic amongst data scientists and analysts these days. It is because deep learning has provided very high accuracy in various domains such as speech recognition, image processing and natural language ...

The verification of parental and family relationships based on the facial appearance of subjects is a recent topic that attracted the attention of the computer vision research community. So many feature descriptors for facial images have been ...

Histogram modification is one of the most successful reversible data hiding methods. Among many histogram-modification techniques, difference-histogram-based methods perform well, but the efficiency of difference-histogram-based methods is still ...

In this work, an active forgery detection scheme is proposed to locate the tampered region from a forged digital image. In this regard, an authentication code is formed and subsequently, the same is concealed into each pixel for the realization of ...

Efficient lossless coding of a texture image and its corresponding depth map is important to perform accurate view synthesis in 3D applications. In this paper, a novel HEVC-based three-layer texture and depth coding method is proposed for lossless ...

Image denoising is an important technology for image preprocessing. In recent years, the image denoising technology based on total variation (TV) has been rapidly developed. However, However, although it can preserve image details well, which ...

Steganography is the method of hiding secret message information in various cover media like text, image, audio, video and others without raising suspicion to intruders about the existence of any such information. Exploiting Modification Direction ...

The KCF (Kernelized Correlation Filter) algorithm achieved a good performance on target tracking challenges. However, it still has some defects and problems of false tracking in low frame rate (LFR) scenarios, target scale variation, occlusion and ...

Image restoration is an important and interesting problem in the field of image processing because it improves the quality of input images, which facilitates postprocessing tasks. The salt-and-pepper noise has a simpler structure than other noises,...

Human Activity Recognition is the process of identifying the activity of a person by analyzing continuous frames of a video. In many application areas, human activity identification is either a direct goal or it is a key segment of a bigger ...

Recently, the demand for video applications has become more and more pressing. To save backhaul bandwidth and reduce the network delay, Mobile Edge Computing (MEC) has arisen as a promising technique in future mobile networks. It can provide the ...

In this paper visualization techniques for modern closed circuit television (CCTV) smart city services are discussed with application to prevention of threats. Unconventional approaches to the intelligent visual data processing are proposed in ...

Nowadays, optimization has become a brand methodology for different applications. One of the most promising fields for application of optimization is the image processing field, especially image fusion. A new effective deterministic optimization ...

This paper proposes a new image steganographic method that effectively combines LSB embedding with Octa-PVD embedding. A cover image is divided into non-overlapping 3 × 3 sub-blocks, the n least significant bits of the center pixel of each sub-...