EURASIP Journal on Image and Video Processing

http://link.springer.com/journal/13640

List of Papers (Total 649)

Fast distributed video deduplication via locality-sensitive hashing with similarity ranking

The exponentially growing amount of video data being produced has led to tremendous challenges for video deduplication technology. Nowadays, many different deduplication approaches are being rapidly developed, but they are generally slow and their identification processes are somewhat inaccurate. Till now, there is rare work that studies the generic hash-based distributed...

The research about radiometric technology of two-dimensional rotary table based on image gray level

It is difficult to measure infrared radiation quantitatively for fast dynamic targets such as aircraft and missile. At present, there are many problems such as low measurement accuracy, feedback delay, and complex measurement system. In this paper, a radiation measurement scheme based on image grayscale is proposed. The scheme adopts a two-dimensional turntable structure, which...

A feature selection framework for video semantic recognition via integrated cross-media analysis and embedded learning

Video data are usually represented by high dimensional features. The performance of video semantic recognition, however, may be deteriorated due to the irrelevant and redundant components included into the high dimensional representations. To improve the performance of video semantic recognition, we propose a new feature selection framework in this paper and validate it through...

Image processing algorithm of Hartmann method aberration automatic measurement system with tensor product model

Nowadays, the society has entered the digital information age, and the information contained in the image is far more than the sum of the information contained in other media. In the Internet industry, image processing technology can be used to quickly find the required picture information. Other applications include disaster prevention, industrial automation production lines...

Visualization of real-time monitoring datagraphic of urban environmental quality

Quality of urban environment directly affects people health, and it is important to understand the real-time status of urban air quality. Air quality monitoring, data analysis, and visualization can grasp the concentration data of air pollutants in cities. In view of the current air quality monitoring using digital displays, it is difficult for users to intuitively determine the...

Research on image classification model based on deep convolution neural network

Based on the analysis of the error backpropagation algorithm, we propose an innovative training criterion of depth neural network for maximum interval minimum classification error. At the same time, the cross entropy and M3CE are analyzed and combined to obtain better results. Finally, we tested our proposed M3 CE-CEc on two deep learning standard databases, MNIST and CIFAR-10...

Image classification based on sparse coding multi-scale spatial latent semantic analysis

In the face of huge amounts of image data, how to let the computer simulate human cognition of images and automatically classify images into different semantic categories have become a key issue in image semantic analysis. Image classification is based on some attribute of the image, and it is divided into pre-set categories. For human beings, image classification is not...

Image segmentation based on fuzzy clustering with cellular automata and features weighting

Aiming at the sensitivity of fuzzy C-means (FCM) method to the initial clustering center and noise data, and the single feature being not able to segment the image effectively, this paper proposes a new image segmentation method based on fuzzy clustering with cellular automata (CA) and features weighting. Taking the gray level as the object and combining fully the image feature...

Research on establishing numerical model of geo material based on CT image analysis

Geotechnical engineering material is a kind of heterogeneous composite material. The stone, mineral, gravel, hole, and crack contained in it have different physical and mechanical properties, and their responses to external forces are very different. For example, stress distribution, crack propagation, and failure mode are closely related to material heterogeneity and...

Design of two-wheel self-balancing vehicle based on visual identification

Poor user experience is caused by the current unstable operation of the two-wheel self-balancing vehicle control system, the high failure rate, and the poor accuracy and sensitivity of the control system (prone to deviation). Therefore, the work studied the two-wheel self-balancing vehicle system with the visual recognition of vehicle attitude. Kalman filtering and PID control...

Efficient evaluation of the Number of False Alarm criterion

This paper proposes a method for computing efficiently the significance of a parametric pattern inside a binary image. On the one hand, a-contrario strategies avoid the user involvement for tuning detection thresholds and allow one to account fairly for different pattern sizes. On the other hand, a-contrario criteria become intractable when the pattern complexity in terms of...

Research on key technologies of intelligent transportation based on image recognition and anti-fatigue driving

Intelligent transportation system needs to solve the main problems in traffic safety. This paper focuses on the traffic safety caused by fatigue driving based on image recognition of key technologies for research and analysis. This paper proposes that the location of face and facial feature points and the classification of fatigue detection are the key links to determine the...

Region-based convolutional neural network using group sparse regularization for image sentiment classification

As an information carrier with rich semantics, images contain more sentiment than texts and audios. So, images are increasingly used by people to express their opinions and sentiments in social network. The sentiments of the images are overall and should come from different regions. So, the recognition of the sentiment regions will help to concentrate on important factors the...

Research on road extraction of remote sensing image based on convolutional neural network

Road is an important kind of basic geographic information. Road information extraction plays an important role in traffic management, urban planning, automatic vehicle navigation, and emergency management. With the development of remote sensing technology, the quality of high-resolution satellite images is improved and more easily obtained, which makes it possible to use remote...

Research on garment pattern design based on fractal graphics

This paper firstly analyzes the basic principle of generating fractal art graphics and the artistic features of graphics and then uses scientific visualization method to innovate and improve the theoretical model used in this paper. The generation principle and graphic characteristics of fractal graphics of complex dynamic system and L-system are mainly analyzed, and two kinds of...

A de-noising method based on L0 gradient minimization and guided filter for ancient Chinese calligraphy works on steles

A clear stele image of ancient Chinese calligraphy pieces is very useful for studying ancient Chinese calligraphy. However, due to hundreds of or even thousands of years of natural or artificial damage on stele, images of ancient Chinese stele calligraphy works usually suffer from a large amount of image noise, and which usually leads to a poor visibility. To address this problem...

A convex nonlocal total variation regularization algorithm for multiplicative noise removal

This study proposes a nonlocal total variation restoration method to address multiplicative noise removal problems. The strictly convex, objective, nonlocal, total variation effectively utilizes prior information about the multiplicative noise and uses the maximum a posteriori estimator (MAP). An efficient iterative multivariable minimization algorithm is then designed to...

Graph matching using conformal module

Graph matching and classification play fundamental roles in computer vision. The computational complexity of the conventional method based on a spectrum method is high, which prevents it from handling large graphs in practice. This work proposes a novel framework for tackling the challenge by using conformal module. We apply the classical Hodge theory from differential manifold...

Research on application of multimedia image processing technology based on wavelet transform

With the development of information technology, multimedia has become a common information storage technology. The original information query technology has been difficult to adapt to the development of this new technology, so in order to be able to retrieve useful information in a large amount of multimedia information which has become a hot topic in the development of search...

Research on English translation distortion detection based on image evolution

At present, there are serious distortions in the translation of image English characters. In order to alleviate this problem, this study improves the traditional algorithm, uses the Canny edge detection method as the edge detection method through experimental comparison and analysis, and combines the image evolution to analyze the English character translation of multiple complex...

Image offset density distribution model and recognition of hand knuckle

The accurate description of hand posture plays an important role in the man-machine interaction involved in coordinated assembly. Knuckle image extraction and recognition are of great significance to refine and enrich hand-pose information. These are based on nonparametric density kernel estimation observation sets corresponding to unilateral and bilateral excursion of the hand...

Recognition and localization of actinidia arguta based on image recognition

In the process of picking, actinidia arguta has difficulty in image recognition and occlusion problems, and there are few studies on kiwifruit recognition. Based on this, this study uses the color model to perform image basic processing and uses frequency domain enhancement to process the image. Simultaneously, in the frequency domain of the image, this study applied filtering to...

Adaptive visual target tracking algorithm based on classified-patch kernel particle filter

We propose a high-performance visual target tracking (VTT) algorithm based on classified-patch kernel particle filter (CKPF). Novel features of this VTT algorithm include sparse representations of the target template using the label-consistent K-singular value decomposition (LC-KSVD) algorithm; Gaussian kernel density particle filter to facilitate candidate template generation...

Distortion-specific feature selection algorithm for universal blind image quality assessment

Blind image quality assessment (BIQA) aims to use objective measures for predicting the quality score of distorted images without any prior information regarding the reference image. Several BIQA techniques are proposed in literature that use a two-step approach, i.e., feature extraction for distortion classification and regression for predicting the quality score. In this paper...

Research on distance education image correction based on digital image processing technology

Distance education is generally developed through live broadcast or video playback. Because of the influence of various factors in the process of distance education, the pixel characteristics in the original educational resource image will change. Based on this, this study is based on digital image processing technology to correct the distance education image. In addition, this...