Online image hashing aims to update hash functions on-the-fly along with newly arriving data streams, which has found broad applications in computer vision and beyond. To this end, most existing methods update hash functions simply using discrete labels or pairwise simi...

The novel coronavirus (COVID-19) pneumonia has become a serious health challenge in countries worldwide. Many radiological findings have shown that X-ray and CT imaging scans are an effective solution to assess disease severity during the early stage of COVID-19. Many a...

This paper investigates the performance of modular dc–dc forward converter in Input Parallel Output Series (IPOS) configuration which is controlled by an effective controller. This IPOS topology facilitates the converter to have high output voltage gain. The role of con...

To detect changed areas in multitemporal polarimetric synthetic aperture radar (SAR) images, this paper presents a novel version of convolutional neural network (CNN), which is named local restricted CNN (LRCNN). CNN with only convolutional layers is employed for change...

Here we present benchmarks and the expected performance of the SSRLCV (Small Satellite Research Laboratory Computer Vision) library that will be tested in Low Earth Orbit onboard the 6U MOCI (Multiview Onboard Computer Vision) cube satellite. The SSRLCV software library...

The volume, veracity, variability, and velocity of data produced from the ever increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure. Increasing the data processing cap...

International audience; Joint sparse representation (JSR) model has recently emerged as a powerful technique with wide variety of applications. In this paper, the JSR model is extended to error concealment (EC) application, being effective to recover the original image ...

To precisely recognizing traffic police gesture, a two-branch multi-stage convolutional neural network (CNN) and an BP neural network (BPNN) classifier has been adopted to achieve the task of traffic police pose estimation in this paper. We simultaneously detect the hum...

This work presents a hybrid and hierarchical deep learning model for midterm load forecasting. The model combines exponential smoothing (ETS), advanced long short-term memory (LSTM), and ensembling. ETS extracts dynamically the main components of each individual time se...

During the process of service aggregation, heterogeneous multilevel interactive process, which contributes to the high security requirement of the access control model. Under the circumstances of service aggregation, in order to adapt the centralized access control betw...

The paper presents a robust approach to compute disparities on sparse sampled light field images based on Epipolar-Plane Image (EPI) analysis. The Relative Gradient is leveraged as a kernel density function to cope with radiometric changes in non-Lambertian scenes. To a...

This article solves the exponential synchronization issue of memristor-based complex-valued neural networks (MCVNNs) with time-varying uncertainties via feedback control. Compared with the traditional control methods, a more practical and general control scheme with the...

Reasonable risk models in hazardous material transportation are of practical significance, for safeguarding the lives and properties, protecting the natural environment, and facilitating sustainable development. The existing risk models can be classified into summation ...

Finding time-sensitive objects in time and precisely locating them in real time is the basis of successful operations. This paper analyzes the characteristics of images from space-based platforms such as satellites, and images from aerial platforms such as UAVs, and the...

To solve the problem of poor robustness and low effectiveness of visual tracking in complex scenes, a novel target tracking algorithm based on adaptive observation weight is proposed in this paper. First of all, a weighted observation model is established by linear visu...

Laser spot is widely used in numerous fields such as pointing during presentations, guiding robots in human machine interaction (HCI), and guiding munitions to targets in military, etc.. The interest of this paper is to develop an effective method for laser spot detecti...

In this paper, Decomposed Fuzzy Systems (DFS) structure is applied to design single intersection signal fuzzy controller. The DFS structure is to decompose each fuzzy variable into layers of fuzzy systems and each layer is to characterize one traditional fuzzy set. DFS ...

We propose a novel idea for the preparation of slides automatically from the documents which reduce the time consumption and efforts of the presenter. The proposed method uses Support Vector Regression to predict the importance of the sentences and Integer Linear Progra...

In crisis management, Threat Evaluation (TE) and Resource Allocation (RA) are two key components. To build an automated system in this area after modelling Threat Evaluation and Resource Allocation processes, solving these models and finding the optimal solution are fur...

Recommender systems have played an increasingly important role in providing users with tailored suggestions based on their preferences. However, the conventional offline recommender systems cannot handle the ubiquitous data stream well. To address this issue, Streaming ...

We present a group-wise shape correspondence method for analyzing variable and complex objects in a population study. The proposed method begins with the standard spherical harmonics (SPHARM) point distribution models (PDM) with their spherical mappings. In case of comp...

SafePredict is a novel meta-algorithm that works with any base prediction algorithm for online data to guarantee an arbitrarily chosen correctness rate, $1-\epsilon$, by allowing refusals. Allowing refusals means that the meta-algorithm may refuse to emit a prediction p...

The existing temporal convolution model does not take full advantage of the characteristics of the low level network, and there is noise in the input 2D joint sequence. Therefore, a temporal convolution model based on intermediate supervision is proposed to estimate 3D ...

A full description of light propagation in the ray regime is provided by the plenoptic function, where both the location and angle of each ray is known. In this paper, we investigate the utility of plenoptic data for extracting information from a scene where the light f...

Video sensors based on CMOS technology represent the vast majority of the adopted solutions for image acquisition systems equipped in unmanned vehicles and Advanced Driver Assistance Systems. These sensors typically employ a rolling shutter readout scheme, which causes ...

In the recent years, image-based plant phenotyping has become an active research area. It can help investigating the complex association between genomes and phenotypic traits. However, traditional plant phenotyping involves manual measurement of plant traits and is quit...

We investigate the localization of subtle yet discriminative parts for fine-grained image recognition. Based on the observation that such parts typically exist within a hierarchical structure (e.g., from a coarse-scale “head” to a fine-scale “eye” when recognizing bird ...

In this paper, we present a novel image super-resolution framework based on neighbor embedding, which belongs to the family of learning-based super-resolution methods. Instead of relying on extrinsic set of training images, image pairs are generated by learning self-sim...

Side channel steganalysis refers to detecting a steganographer in social websites via behavior analysis. In this paper, we first design a side channel steganalysis based on the correlation between image sequences of social users, which aims to find out the behaviorally ...

Based human visual speed perception characteristic, a video quanlity assessment(VQA) algorithm is introduced in the paper. Natural video statistics features extraction and weighting factors are incorporated in the scheme. In the VQA, considering the impact both video co...

An intuitionistic fuzzy cognitive map (IFCM) is an extension of a fuzzy cognitive map (FCM) that forms a graph-oriented fuzzy map describing both causal relationships between pairs of concepts and the states of concepts via intuitionistic fuzzy sets (IFSs). In contrast ...

Generalization, i.e., the ability of solving problem instances that are not available during the system design and development phase, is a critical goal for intelligent systems. A typical way to achieve good generalization is to learn a model from vast data. In the cont...

Traditional watermarking algorithms have been extensively studied. As an important type of watermarking schemes, template-based approaches maintain a very high embedding rate. In such scheme, the message is often represented by some dedicatedly designed templates, and t...

Temporal action localization aims to accurately localize and recognize all possible action instances from an untrimmed video automatically. Most existing methods perform this task by first generating a set of proposals and then recognizing each independently. However, d...

Real-time detection of a speaker and speaker's location is a challenging task, which is usually addressed by processing acoustic/visual information. However, it is a well-known fact that when a person speaks, the lip and head movements can also be used to detect the spe...

This paper presents the different approaches by which the video image retrieval systems can become more efficient. In today’s world large database not only create the problem but also increases the complexity in terms of time as well as size. Traditional methods are now...

Semantic segmentation is the task of clustering pixels into an object class. In the field of remote sensing semantic segmentation has wide applications ranging from scene cover classification to change detection for scene understanding. With the success of deep learning...

This paper investigates the annotation-based retrieval (AR) of World Wide Web (WWW) resources that has been annotated by users on Collaborative Tagging (CT) platforms as a form of user-generated content (UGC). Previous approaches have simply weight the WWW resources acc...

Modeling the relationship between multimodal media, including images, videos, and text, can reduce the gap between the modalities and promote cross-media retrieval, image annotation, etc. In this paper, we propose a new approach called kernel-based mixture mapping (KMM)...

Person re-identification obtains a major concern from researchers owing to its extensive applications and many challenges. Feature extraction is the first step for person re-identification, and a robust feature can promote the performance. In this paper, we mainly intro...