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Zero-shot learning (ZSL) models use semantic representations of visual classes to transfer the knowledge learned from a set of training classes to a set of unknown test classes. In the context of generic objec...
As more and more mobile video applications contain important and private video data, various video encryption techniques have been proposed to protect them. Many of those applications typically utilize the sta...
In the current English semantic recognition of mail, there are problems such as serious information distortion and unrecognizable, which affects the promotion of machine automation to recognize text in emails....
Recognition of facial images is one of the most challenging research issues in surveillance systems due to different problems including varying pose, expression, illumination, and resolution. The robustness of...
On the basis of analyzing, receiving, and parsing the computer video electromagnetic leakage emission signal, an image of the screen display content can be obtained. Due to the interference noise existing in t...
When it comes to the studies concerning human-computer interaction, human posture recognition which was established on the basis of Kinect is widely acknowledged as a vital studying field. However, there exist...
Content-based image retrieval (CBIR) extracts visual content features (such as color, texture, and shape) of a sample image to retrieve another similar image. Due to the existence of the semantic gap, retrieva...
The image post-processing technology based on MATLAB was applied in oil-film interferometry to calculate the skin friction coefficient. This method can recognize the bright and dark fringes by the algorithm ba...
This paper combines the image adaptive threshold denoising algorithm and performs double threshold mapping processing to the infrared image, which effectively reduces the influence of these phenomena to the in...
The improvement of vocal singing technology involves many factors, and it is difficult to achieve the desired effect by human analysis alone. Based on this, this study based on spectrum image analysis uses the...
With the popular use of high-resolution satellite images, remote sensing scene classification has always been a hot research topic in its related areas. However, limited to the issues of remote sensing dataset...
Long-range imaging with visible or infrared observation systems is typically hampered by atmospheric turbulence. Software-based turbulence mitigation methods aim to stabilize and sharpen such recorded image se...
Augmented reality is a rapidly growing area of interactive design where it allows virtual contents to be seamlessly integrated with displays of real-world scenes. Along with the meteoric rise of smart mobile d...
UAV remote sensing has been widely used in emergency rescue, disaster relief, environmental monitoring, urban planning, and so on. Image recognition and image location in environmental monitoring has become an...
Recent development on image categorization, especially scene categorization, shows that the combination of standard visible RGB image data and near-infrared (NIR) image data performs better than RGB-only image...
The purpose of this study is to find out the effect of sports virtual training with applied sports science and information and communication technology (ICT) for adults. We have developed a 4-week workout prog...
In the port transportation, the transportation vehicle is extremely easy to cause a bad condition in the transportation process due to the influence of foreign matter, and the current foreign matter detection ...
Hollow grouted rock bolts are widely used in deep soft rock roadways. The density of grout has a significant influence on the anchorage quality. However, there is still a lack of effective methods to detect th...
In view of the problems in the real-time traffic video monitoring that the adaptive vehicle extraction is greatly affected by the environmental factors such as the illumination, noise, and so on; the missed de...
Surface-opening crack is one of the main defects in concrete bridges, which results in degradation in the load-carrying capacity of these structures. Thus, estimating the depth of such surface-opening crack is...
By using deep learning-based strategy, the performance of face recognition tasks has been significantly enhanced. However, the verification and discrimination of the faces with occlusions still remain a challe...
With the development of information technology, image information has become the main content of network information transmission. With the development of image encryption technology, it is also about the deve...
Due to the messy logistics goods in the port area, some automatic transport vehicles often have errors in cargo transportation due to large path identification errors. Based on this, this study is based on ima...
In order to solve the geometric offset caused by replacing the filter during imaging of multichannel spectral image data, a multichannel spectral image registration method based on SURF feature merged with max...
In many cases, databases are incompetent to meet the requirement of the quick query identification and processing of bar codes, such as the automatic sorting system of giant logistics warehouse. Bloom filter c...
With the development of information technology, people access information more and more rely on the network, and more than 80% of the information in the network is replaced by multimedia technology represented...
In the multi-robot system, how to achieve effective and reasonable task coordination between multi-robots is an important problem;, multi-robot task scheduling is the term used for the coordination of the key ...
Multi-frame super-resolution recovers a high-resolution (HR) image from a sequence of low-resolution (LR) images. In this paper, we propose an algorithm that performs multi-frame super-resolution in an online ...
In this paper, a novel automatic segmentation and reconstruction method is proposed for diffraction contrast tomography (DCT) technology. The pipeline of the proposed method starts from the imaging of Al−La alloy...
With the increasing demand for confidentiality of information, traditional identification tools are no longer sufficient. As a new biological signal, EEG signal has the advantage of being difficult to forge an...
As a variety of video surveillance devices such as CCTV, drones, and car dashboard cameras have become popular, numerous studies have been conducted regarding the effective enforcement of security and surveill...
With the development of e-commerce, network virtual try-on, as a new online shopping mode, fills the gap that the goods cannot be tried on in traditional online shopping. In the work, we discussed augmented re...
Since most digital cameras use color filter arrays to sample red, green, and blue colors by a specific pattern, only one color sample would be taken at every pixel location. The process named demosaicking is e...
Intangible cultural heritage has the characteristics of regionality, uniqueness, and liveness. Its protection and inheritance are faced with many challenges, and can be resolved by integrating with the scenic ...
Considering the non-uniqueness and instability of concrete defect detection in construction engineering, ultrasonic time of flight data and maximum likelihood expectation maximization algorithm were proposed t...
In order to study the performance of rubber sound-absorbing materials, this study processed the surface of ethylene-propylene diene monomer (EPDM) rubber sound-absorbing materials based on image recognition. S...
In this paper, the on-line detection of small parts’ dimension measurement based on machine vision is designed, and the key technologies, such as image processing, image registration and stitching, edge detect...
With the development of information technology, the demand for information security is increasing. For more convenient and safer needs, the encryption technology based on biometrics has developed rapidly. Amon...
Local binary pattern (LBP) and combination of LBPs have shown to be a powerful and effective descriptor for texture analysis. In this paper, a novel approach to pattern recognition problem namely local line di...
The detection accuracy of the light stripe centers is an important factor based on the structured light vision measurement, and the quality of the light stripe images is a prerequisite for accurately detecting...
With the development of information technology, especially the development of visual image processing technology, more and more automated production links, such as injection molding production, use visualizati...
This paper tackles a recent challenge in patrol image processing on how to improve the identification accuracy for power component, especially for the scenarios including many interference objects. Our propose...
Taking the elevation point cloud data of buildings as an object, this paper proposed a 3D reconstruction method. By using the simple clustering method, the vertices of a plane with similar normal vector compon...
This paper provides a novel approach for recognizing human behavior from RGB-D video data. The three-dimensional convolutional restricted Boltzmann machine (3DCRBM) is proposed which can extract features from ...
Accurate measurement of foot shape feature parameters is extremely important in the process of customized shoemaking. A 3D foot’s depth image collected by second-generation Kinect is used to propose a foot sha...
This paper describes the development and evaluation of a color estimation method that is able to create more natural lighting conditions for outdoor-purposed augmented reality (AR) technology. In outdoor AR sy...
Widespread industrial products, which are usually texture-less, are mainly represented with 3D boundary representation (B-Rep) model for designing and manufacturing, hence the pose estimation of texture-less o...
With the improvement of living standards, personalized clothing customization has become a trend of people’s apparel demand. The key factor in personalized clothing customization is a three-dimensional human m...
Information hiding technology has always been a hot research field in the field of information security. How to hide information in images is also a major research field of image transformation. Today’s inform...
Multi-label sorting learning has been successful in many fields. It can not only express the complex semantic information of learning objects, but also present good generalization ability in dealing with compl...
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2022 Citation Impact
2.4 - 2-year Impact Factor
2.6 - 5-year Impact Factor
1.410 - SNIP (Source Normalized Impact per Paper)
0.608 - SJR (SCImago Journal Rank)
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80 days submission to first editorial decision for all manuscripts (Median)
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We are pleased to announce that the following paper published in EURASIP Journal on Image and Video Processing has been awarded a EURASIP best paper award!
Research
DIBR synthesized image quality assessment based on morphological multiscale approach
Dragana Sandić-Stanković, Dragan Kukolj, and Patrick Le Callet
The award ceremony will take place at the upcoming virtual edition of EUSIPCO to be held in August 2021. For more information see the EURASIP newsletter.
