Multimedia Tools and Applications

In aims to ensure images authentication, this paper proposes a blind spatial domain-based image watermarking using texture analysis and association rules mining. The idea is to identify the strongly textured locations in the host image for inserting the ...

In the area of machine learning and pattern recognition, object classification is getting an attraction due to its range of applications such as visual surveillance. In recent times, numerous deep learning-based methods are presented for object ...

Matching cost aggregation is one of the most important steps in dense stereo correspondence, and non-local cost aggregation methods based on tree structures have been widely studied recently. In this paper, we analyze the shortcomings of both the local ...

To further exploit the potential performance of convolutional neural networks in acoustic event classification, an improved convolutional neural network called AecNet (Acoustic event classification net) is proposed. For traditional convolutional neural ...

Optical coherence tomography (OCT) is a high-resolution and non-invasive imaging modality that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal layer segmentation is crucial for doctors to diagnose and analysis retinal ...

Network traffic classification is important for the management of network resource and the support quality of multimedia services. To realize the fine-grained classification of typical Internet video traffic, this paper studies and analyses the ...

In this paper, we propose a hybrid system for pedestrian detection, in which both thermal and visible images of the same scene are used. The proposed method is achieved in two basic steps: (1) Hypotheses generation (HG) where the locations of possible ...

The smile is one of the most common human facial expressions encountered in our daily lives. Smile recognition can be used in many scenarios, such as emotion monitoring, human-to-robot games, and camera shutter control, which is why smile recognition ...

This paper proposes a novel high-performance gradient-based local descriptor that handles the prominent challenges of face recognition such as resistance against rotational, illuminative changes as well as noise effects. One of the novelties this study ...

True random number generators are used in high security applications such as cryptography where non-determinism is required. However, they are slower than their pseudorandom counterparts because they need to extract entropy from physical phenomenon. To ...

Recognition of an object from an image or image sequences is an important task in computer vision. It is an important low-level image processing operation and plays a crucial role in many real-world applications. The challenges involved in object ...

A new 2D Chebyshev-Sine map with natural evaluation is proposed and its dynamical behavior is analyzed. To investigate its application in information security, a color image encryption algorithm is designed. One-time initial condition expressed as ...

In the research on computer vision, object tracking has encountered various challenges, such as occlusion and scale variation. In recent years, tracking-by-detection methods have performed competitively. Some of these methods have focused on solving the ...

Many steganography schemes have been proposed for video sequences. However, the embedding capacity obtained by these schemes is still unsatisfactory. In this paper, a novel steganography scheme has proposed to further improve the embedding capacity ...

The aim of this paper is to improve the reconstruction accuracy and security when adopting Compressive Sensing (CS) in watermarking algorithm. Unlike classical CS-based watermark generation method, lifting wavelet transformation, partial Hadamard matrix,...

Upper body detection on images is a challenging task in practical application scenarios and shares all the difficulties of object detection. This paper focuses on the problems of the multiple upper bodies, including the diversity of appearances, the ...

This paper proposes a generalized modified chaotic transition map with three independent parameters. A hardware speech encryption scheme utilizing this map along with a bit permutation network is presented. While the transition map's generalization ...

In spite of the existence of numerous navigation tools/systems, Google Street View, offering only a single static image at a time, is still sometimes preferred for the provision of a realistic scene. However, for the sake of navigation, given the ...

Illegal camcording as the most common source of video piracy, is the main concern of the film production companies. With the increased speed and convenience of access to the Internet and video sharing services, the distribution of pirated video copies ...

This paper demonstrates an image encryption technique using a hybrid method. This method consists of two stages. The image is XORed with the Pseudo-Random Number Generator (PRNG) in the first stage. The confusion and diffusion processes are applied by ...

Emotions have a great significance in human-to-human and in human-to-computer communication and interaction. In this paper, an effective and novel approach to recognize the emotions using facial expressions by the fusion of duplex features is proposed. ...

Recommender systems (RSs) have emerged as a solution to the information overload problem by filtering and presenting the users with information, services etc. according to their preferences. RSs research has focused on algorithms for recommending items ...

A music similarity model that combines Cross Recurrence Plot (CRP) fusion and Multi-Kernel Integration (MKI) is proposed for Cover Song Identification (CSI) task. First, two complementary descriptors: Harmonic Pitch Class Profile (HPCP), which ...

Situational interest is widely explored in the psychology and education domains. It is proven to have positive effect on learning and academic achievement. Nonetheless, not much attention is given for assessing the feasibility of detecting this interest ...

Secret sharing is a cryptographic tool to ensure reliable and secure access to information. Counting-based secret sharing is a new secret sharing technique that generate the preprocessing shares using simple replacements operations of specific bits. ...

Reversible data hiding (RDH) embeds data into the original image content, and it can also losslessly recover the original image content after the embedded data is extracted. Some previous RDH algorithms, such as the algorithm proposed by Luo et al., ...

Scene classification methods based on effective feature extraction and coding have obtained promising results in recent years. But the K-nearest neighbor search strategy in Locality-constrained Linear Coding (LLC) increases the complexity of the ...

In this paper, an effective multimodal biometric identification approach for human authentication tool based on face and voice recognition fusion is proposed. Cepstral coefficients and statistical coefficients are employed to extract features of voice ...

With the rapid escalation of the usage of sensitive data exchange through internet, information security has become a vulnerable realm of concern. Numerous security policies are incorporated, steganography being one of them. In this paper, a new image ...

Generating dynamic 2D image-based facial expressions is a challenging task for facial animation. Much research work focused on performance-driven facial animation from given videos or images of a target face, while animating a single face image driven ...