Multimedia Tools and Applications

Aiming at robust picture fuzzy clustering with weak anti-noise ability, which is difficult to meet the needs of high noise image segmentation. Hence, this paper proposes a robust dynamic semi-supervised picture fuzzy local information clustering ...

Finger vein patterns contain highly discriminative characteristics, which are difficult to be forged due to residing underneath the skin. Several pieces of research have been carried out in this field but there is still an unresolved issue when ...

Nowadays, many algorithms are invented with different strengths and weaknesses, none of which is the best for all cases. Herein, a hybrid optimization algorithm entitled the dynamic hybrid optimization algorithm (DHOA) is presented. We cover the ...

Demand forecasting a film’s opening weekend box office revenue is a difficult and complex task that decision-makers face due to a lack of historical data and various complex factors. We proposed a novel Deep Multimodal Feature Classifier Neural ...

For a pattern classification problem, dataset size plays a vital role in the training and testing of the used classifier. With a smaller dataset, the model suffers from a common problem of data underfitting in which the model remains unable to ...

Medical imaging is essential for accurate diagnosis. In medical imaging, various algorithms for image denoising have been developed. However, some drawbacks have been identified, including the blocking effect, which results in excessive smoothing ...

Micro cracks in solar cells lower the overall performance of the solar panel. These cracks result from poor handling during transportation, fabrication, and installation. Another reason could be the harsh environmental conditions under which they ...

Dental biometrics is a type of biometrics that uses dental information to identify individuals. Well-known biometric features such as fingerprints and gait images have been successfully used to identify individuals. However, these features can be ...

The visual Simultaneous Localization and Mapping (SLAM) working with spherical video gives many advantages of a wide field of view. However, the conventional visual SLAM approaches are not directly applicable to the spherical videos due to the ...

Document clustering is a well established technique used to segregate voluminous text corpora into distinct categories. In this paper we present an improved algorithm for clustering large text corpus. The proposed algorithm tries to overcome the ...

The multimedia big data has tendency of fast growth over time span due to basic characteristics like volume, variety and velocity. Sample based estimates are used to compute the unknown population parameter. The multimedia big data is ...

Generative Adversarial Networks have recently proven to be very effective in generative applications involving images, and they are now being used to regenerate images using visually evoked brain signals. Recent neuroscience research has ...

Evidence suggests that vision is among the most critical factors in marine information exploration. Instead, underwater images are generally poor quality due to color casts, lack of texture details, and blurred edges. Therefore, we propose the ...

Fog integrated Cloud Computing is a distributed computing paradigm where near-user end devices known as fog nodes cooperate with cloud resources hosted at distant datacentres for providing computational and storage services to end user ...

Anime is quite well-received today, especially among the younger generations. As anime has recently garnered mainstream attention, we have insufficient information regarding users’ penchant and watching habits. Therefore, it is an uphill task to ...

Plant disease reduces the quantity and quality of the agricultural product, so identification of plant disease in the early stages is very important. Early detection of disease in plants helps to reduce the overuse of pesticides as well as save ...

Nowadays, crowd scene becomes the most active-oriented research and trendy topic in computer vision applications. However, panic behavior is the key suggestion of occurrence of the abnormal behavior in the human crowd such that detecting the panic ...

Suspicious human activities like fighting, shooting, fire have got serious security concern in public places because of a steep surge in these types of cases all around. CCTV cameras are generally installed at public places like malls, railway ...

A recommender system is an emerging personalization strategy in web applications to deal with information overload. Most recommender systems suggest items to users based on a single criterion, i.e., overall ratings. However, multi-criteria ratings ...

The early detection of retinal abnormalities such as diabetic retinopathy (DR) can be performed using the computerized analysis of retinal fundus images. The most significant complications associated with the DR detection are noise artifacts ...

Non-destructive testing of apple fruit, an important product in the world fresh fruit trade, according to physiological disorders, can be done with a computer vision system. However, in the vision system, images may be affected by the brightness ...

The use of local statistical descriptors for image representation has emerged and gained a reputation as a powerful approach in the last couple of decades. Many algorithms have been proposed and applied, since then, in various application areas ...

Schizophrenia affects the substances of the brain, which decreases the volume of the brain and leads to mental disorder. This work deals with the study of using computer aided technique on early diagnose of schizophrenia. Statistical parametric ...

Traffic sign detection can provide important judgment information for the unmanned driving system. To deploy the detector on edge equipment and have better detection performance, a real-time detection method based on a dynamic pruning strategy is ...

3D high-efficiency video coding (3D-HEVC) is an extension of the HEVC standard for coding of texture videos and depth maps. 3D-HEVC inherits the same quadtree coding structure as HEVC for both texture and depth components, in which the coding ...

In front of COVID-19 propagation, we can protect our self by taking precautionary measures such as wearing face masks. It may be mandatory in particular public place although some persons ignore this rule. Several research in face mask detection ...

Public survey is popular in different domain to have a feedback from service users in the aim to improve the quality of service provided or to figure out what they think. In general, the data processing takes time due of manual intervention and it ...

There has been an outstanding use of memory storage of processors as current applications: Artificial Intelligence-based applications, 3D-reconstruction or Blockchain ones, take advantage of their large computing effort, as well as their ability ...

The exponential growth in the usage of computing technologies in various applications has led to the creation of huge amount of multimedia information such as, video, audio, and text. The enormous amount of video data generated over the past years ...