Music recommender using deep embedding-based features and behavior-based reinforcement learning
With the rapid increase of digital music on online music platforms, it has become difficult for users to find unknown but interesting songs. Although many collaborative filtering or content based recommendation methods have been proposed, they ...
Implement of an automated unmanned recording system for tracking objects on mobile phones by image processing method
The use of the “selfie camera”, which records many images and videos and shares them with others. Although this system is complex owing to its use of software-intensive technologies from the field of image processing, such as face detection, CAM-...
Correction to: Implement of an automated unmanned recording system for tracking objects on mobile phones by image processing method
In the original publication, figure 2 was incorrect.
Scenario-based cyber attack·defense education system on virtual machines integrated by web technologies for protection of multimedia contents in a network
Security issues have been raised with the tremendous growth of social multimedia content evolving content distribution and social interaction. To protect the social multimedia contents in a network, information security education has been actively ...
Automatic ventricular nuclear magnetic resonance image processing with deep learning
Cardiovascular diseases (CVD) seriously threaten the health of human beings, and they have caused widespread concern in recent years. At present, the diagnosis of CVD is mainly conducted by computed tomography (CT), echocardiography and nuclear ...
A Novel Fingerprint Recovery Scheme using Deep Neural Network-based Learning
Minutiae used in most fingerprint recognition devices is robust to presentation attack, but generates a high false match rate. Thus, it is applied along with orientation map or skeleton images. There has been plenty of research on security ...
Real-time interactive micro movie placement marketing system based on discrete-event simulation
The vigorous development of the Internet has made it into an indispensable part of consumers’ lives. Many companies and individuals are exploiting online video marketing by establishing brand channels or personal channels in order to voice their ...
OS-LFFD: a light and fast face detector with Ommateum structure
Face detection has been deployed on edge devices as the basis for face applications, but the devices cannot store large-scale models and have low computing power. The existing anchor-based face detection schemes cannot cover face images over a ...
Memory access minimization for mean-shift tracking in mobile devices
Due to the development of artificial intelligence and computer vision technology, many autonomous drones have been studied. However, computer vision technology requires high performance CPU due to its high complexity, and battery consumption is so ...
Implementation of user playstyle coaching using video processing and statistical methods in league of legends
Recently, the game market is growing rapidly with the growth of e-sports. In particular, the market for League of Legends games continues to grow. Massively Online Battle Arena (MOBA) games have grown to become a massive industry, projected to ...
Semantic segmentation of brain tumor with nested residual attention networks
Brain tumors are one of the most serious brain diseases, which often result in a short life. However, in developing areas, medical resources are in shortage, which affect the diagnosis of brain tumors. With the development of computer science, ...
Hardware-friendly architecture for a pseudo 2D weighted median filter based on sparse-window approach
Stereo matching, which is conventionally used for three-dimensional (3D) information acquisition through cameras, is the most actively studied subject in computer vision. To obtain sophisticated 3D information, refining the disparity map in stereo ...
CNN-based single object detection and tracking in videos and its application to drone detection
This paper presents convolutional neural network (CNN)-based single object detection and tracking algorithms. CNN-based object detection methods are directly applicable to static images, but not to videos. On the other hand, model-free visual ...
Context-adaptive blocking for protecting personal information exposed to social multimedia content
With the development of many devices that support high-speed wired and wireless Internet, it has been universalized to upload and download various kinds of social multimedia information. However, image data including sensitive personal information ...
A deep bidirectional similarity learning model using dimensional reduction for multivariate time series clustering
To analyze multivariate time series, research through dimension reduction is being conducted, but flexible dimension reduction cannot be achieved by reflecting the characteristics or types of data. This paper proposed a Deep Bidirectional ...
Image-processing based facial imperfection region detection and segmentation
As interest in skin-beauty has recently increased, the consumption of skin-related products has steadily increased. Visiting a professional medical institution or clinic to determine one’s skin condition(s) for self-management is not only costly ...
Design of an intelligent video surveillance system for crime prevention: applying deep learning technology
As the security threat and crime rate have been increased all over the globe, the video surveillance system using closed-circuit television (CCTV) has become an essential tool for many security-related applications and is widely used in many areas ...
Correction to: Design of an intelligent video surveillance system for crime prevention: applying deep learning technology
In the original publication, copyright holder name was incorrect. The author regrets this mistake. The original article has been corrected.
RETRACTED ARTICLE: Smart indoor crop grower based on smart database using IoT
We propose a new type of smart server based smart indoor crop grower using IoT(Internet of Things). The proposed smart indoor crop grower provides visual information for intuitively knowing the current cultivation status, as well as IoT-based ...
Adaptive Salp swarm optimization algorithms with inertia weights for novel fake news detection model in online social media
Recently, social media are the most popular way of consuming news for people due to their fast, low cost, and easy accessibility. Unfortunately, in order to provide financial, political, or personal interests on social media, a large amount of ...
A pose estimation scheme based on distance scaling algorithm in real-time environment
The innovation of convolutional neural networks motivated the study on the many aspects of image processing and object detection. One topic of interest in the field of object detection is human detection and the human pose estimation scheme. Human ...
Development and application of a digital curation system to promote total creative personality based on multimedia
This study aims to develop a teaching and learning model and curation system based on multimedia. This curation system is a model for fostering convergent human resources with creative solutions based on comprehensive judgment and good personality ...
Real-time low-cost human skeleton detection
The human skeleton or deep learning framework is useful for accurately recognizing human behavior and analyzing that behavior across different situations. This work introduces a low-cost human skeleton detection network for detecting human ...
Improved method for learning data imbalance in gender classification model using DA-FSL
As the deep learning technology grows, the accuracy of the training data to improve the model becomes important. If there are not enough learning data between classes, there is a problem that the accuracy of the deep learning model is greatly ...
Ensemble learning-based prediction of contentment score using social multimedia in education
Over the years, social multimedia has gained credibility as a source of information and a reliable platform on which organizations, students and employees can interact with expert audiences. In the areas of education and teaching, the technique, ...
Incoming Traffic Control of Fronthaul in 5G Mobile Network for Massive Multimedia Services
The cloud radio access network (C-RAN) is composed of optical networks and is known to a fronthaul network. In the fronthaul network, remote radio heads (RRHs) connect to a baseband processing unit (BBU) and BBUs connect to the BBU pool in the 5G ...
An analysis of environmental big data through the establishment of emotional classification system model based on machine learning: focus on multimedia contents for portal applications
With the advent of the Internet, there have been many changes. As existing means of off-line communication have transferred to the Internet, a wide range of multimedia services are emerging. And unlike in the past, these work as tremendous sources ...
Detection of the helper types from story in multimedia
A story unfolds through the relationships formed by the major and minor characters. The major characters are central to the main plot of the story, creating and resolving the conflicts. In contrast, the minor characters tend to play the role of ...