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Epileptic seizure detection has gained increasing attention in clinical therapy. Scalp electroencephalogram (EEG) analysis is a common way to capture brain abnormality for seizure onset detection. This paper presents a novel context-learning based approach using multi-feature fusion to compensate for incomplete description of single feature in epileptic EEG signals. First, EEG scalogram sequence is...
Time series data mining has gained increasing attention in health domain. Recently, researchers attempt to employ Natural Language Processing (NLP) to health data mining, in order to learn proper representations of discrete medical concepts from Electronic Health Records (EHRs). However, existing models do not take continuous physiological records into account, which are naturally existed in EHRs...
In this paper, we propose an improved Largest Coding Unit (LCU) level rate control algorithm for the 3D video coding extension of the high efficiency video coding (3D-HEVC). In the proposed algorithm, bit allocation for extended views is investigated in combination with temporal and inter-view Mean Absolute Difference (MAD) predictions. Upon prediction weights generated by MAD prediction errors, accurate...
Automatic segmentation and early diagnosis of brain tumor is a challenging problem in computer vision and it can provide possibility for pre-operative planning, and solve the problem such as low accurateness and time-consuming in traditional manual segmentation. Under the mentioned problems above, this paper put forward a new method: Based on traditional convolutional neural networks (CNNs), a new...
With the development of healthcare technology and medical standard, the demands of the quality and efficiency of mobile nursing are increased significantly, hence it is necessary to improve hospital nursing mechanism dealing with massive tasks. In this paper, we develop an optimized mobile nursing system based on the specific nurse workflow analysis in obstetrics. An efficient integration system framework...
Quadtree brings extremely high computational complexity in high efficiency video coding (HEVC). Innovative works for improving quadtree structures to further reduce encoding time are stated in this paper. A novel quadtree probability mechanism is proposed for HEVC fast coding unit (CU) encoding. Firstly, this paper makes an in-depth study of the relationship among CU distribution, quantization parameter...
In recent years, people have paid more attention to the shadow detection of moving target in video surveillance system. The shadow will directly affect the accuracy of moving target recognition, and do adverse effects on the subsequent processing such as target segmentation, target extraction and target tracking. So shadow elimination is an important part of intelligent video surveillance system....
This paper presents a novel facial expression recognition approach in the presence of partial occlusion using Gabor filters and gray-level co-occurrence matrix (GLCM). At first, we design an algorithm to extract the block Gabor feature statistics according to the spatial distribution of the face organ. Then, GLCM is firstly introduced into expression recognition field to make up for the deficiency...
With the popularity of Internet video, video retrieval applications become more and more widespread. The effect of the traditional retrieval optimization algorithms cannot meet the needs of users. To improve rearrangement semantic rationality of video search results, this paper introduces the video annotation to mark based on the video content objectively. At the same time, the use of words semantic...
Water quality assessment is very important for monitoring water sources and main canal, which is beneficial to offer strategies for the management of water quality and environment. This paper proposes a water quality assessment method based on a sparse autoencoder network. In the proposed approach, a representation model is firstly learned via a sparse autoencoder trained by unlabeled water monitoring...
High efficiency video coding (HEVC) based 3D video coding (3D-HEVC) is the latest 3D video coding standard under development. In 3D-HEVC, most of coding units (CU) select merge modes as their best modes. However, they still have to check a large number of irrelevant candidate modes in mode decision process, which brings significant complexity. In this paper, we propose a low complexity texture mode...
Video annotation is a kind of "high-level feature extraction" or "semantic concept detection", which is a promising approach to bridging semantic gap between low-level features and user descriptions. In this paper we propose a two layer video annotation scheme based on video structure and the visual context information through the video clips. To improve the retrieval performance...
Internet of Vehicles is new concept proposed in recently year extended from Internet of Things. It plays an important role in improving traffic situation. This system is respected as a part of Internet of Vehicles aimed to identify road rage, fatigue driving or drunk driving and so on by recognizing drivers' facial expression. With Internet of Things architecture, this system has a multi-function...
Along with the rapid development of communication network construction, the operation energy consumption grows significantly in recent years, and the expensive electricity cost is hard to be ignored. Therefore, it is necessary to develop an operation energy anomaly detection mechanism to enhance the control ability of electricity cost. According to the practical distribution and data characteristic...
More standardized, networked and intelligentized nature of industry 4.0 has intensified critical infrastructures cyberthreats. According to cyber-physical systems (CPS) layered architecture and security requirements in industry 4.0, a cyber-physical systems testbed based on cloud computing and software defined network (SDN), or CPSTCS is proposed. The CPSTCS uses a network testbed based on cloud computing...
This paper presents a novel automatic facial key point extraction method based on corner detection approach. A pyramid-based FAST corner detector has been developed to seek out all the corners of facial organs with a few useless corners. It was tested and compared with four feature points detectors including FAST, SUSAN, Harris and SIFT to evaluate the effect. Then, for filtering useless corner points,...
Brain tumor segmentation is one of the main challenging problems in computer vision and its early diagnosis is critical to clinics. Segmentation needs to be accurate, efficient and robust to avoid influences caused by various large and complex biases added to images. This paper proposes a multiple convolutional neural network (CNNs) framework with discrimination mechanism which is effective to achieve...
A video retrieval Algorithm based on video fingerprints and spatiotemporal information is proposed in this paper to solve the problem which is brought by the whole drift of brightness, interference of abnormal point and video re-editing. Firstly, the video fingerprints feature is extracted by frame segmentation. Then an improved direct timing algorithm is used to eliminate the interference of brightness...
I-frame affects image quality seriously, but costs enormous bits in video coding processing. In order to optimize the increasing bit rate caused by I-frame, we design a novel video codec based on residual image for the latest video coding standard HEVC. An appropriate method to obtain residual image is proposed depend on the characteristic analysis. The proposed codec reduces considerably by up to...
Deformable medical image registration is vital to study anatomical morphology. As for clinical practical use, registration needs to be accurate, efficient and robust to avoid influences caused by various biases added to medical images. In this paper, principal component analysis (PCA) is implemented under the state-of-the-art diffeomorphic log demons registration framework (The corresponding algorithm...
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