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With the COVID-19 outbreak, health-related rumors have attracted significant attention from governments and global society. These rumors often mislead the public through multimedia, amplifying their negative impact and potentially manipulating ...

The presence of abundant data over the Internet leads to complex issues when it comes to retrieving desired information from such a large volume of content. There are situations where a user needs to modify desired information across ...

Keypoint feature extraction algorithms based on manual feature rely on the professional domain knowledge of the designer, and usually perform well in depicting the detail of an image. However, these manual feature-based feature extraction algorithms ...

Gingivitis is a high-risk disease among middle-aged and elderly people, which greatly increases the difficulty of eating. People are increasingly concerned about the subhealth of gingivitis in order to solve the daily eating problems associated ...

In order to support indoor and outdoor seamless location-based services (LBS), this paper proposes a smart fusion architecture for combing the ubiquitous signals of the mobile device integrated multi-modal sensors based on deep learning, which can ...

Automated bank cheque verification using image processing is an attempt to complement the present cheque truncation system, as well as to provide an alternate methodology for the processing of bank cheques with minimal human intervention. When it ...

The latest linear least regression (LSR) methods improved the performance of image feature extraction effectively by relaxing strict zero-one labels as slack forms. However, these methods have the following three disadvantages: 1) LSR-based ...

The medical image is often noisy, which makes it difficult to extract the image features from the medical image segmentation model. Because the noise is often generated randomly, it is difficult to use supervised information for denoising. In this ...

With the rapid development of medical imaging technology and information technology, digital medical image acquisition equipment is constantly updated, especially the rise of proton medical technology, which has higher requirements on human ...

The prediction of stock trend in the financial market has become an important application field in machine learning research. The fluctuation of stock price is affected by various factors and strong nonlinear and stochastic, which brings greater ...

The extraction of Bag of Visual Words (BoVW) features from retinal images for automated classification has been shown to be effective but computationally expensive. Histogram and co-variance matrix features do not generally result in models that have ...

Computer vision systems are increasingly present on roadways, both on the roadside and on board vehicles. Image features are an essential building block for computer vision algorithms in a road environment. Eight of the most representative image features ...

The current explosion of multimedia data is significantly increasing the amount of potential knowledge. However, to get to the actual information requires to apply novel content-based techniques which in turn require time consuming extraction of ...

Currently, multimedia data has become one of the most important data types processed and transferred over the Internet. To extract useful information from a huge amount of such data, SIFT and SURF, as two most popular image feature extraction algorithms,...

This paper proposes two feature extraction techniques that minimizes the effects of distortions generated by variations in illumination, rotation and, head pose in automatic face recognition systems. The proposed techniques are Modular IMage Principal ...

Using image information to make 3D model reconstruction of real objects in computer vision and computer graphics is getting more and more attentions. Widely used methods include reconstructing object based on the multiple silhouettes and stereo vision. ...

In this paper, two novel image feature extraction algorithms base on Directional Filter Banks are proposed, which are named Single Directional Two-Dimensional Linear Discriminant Analysis (SD2DLDA) and Multiple Directional Two-Dimensional Linear ...

It is clear that different images will be obtained when one takes pictures from different camera positions. One can easily determine the characteristics of the captured image by projective geometry. However, it is hard to estimate the camera position ...

CBIR has been an active topic for more than one decade. Current systems still lack in flexibility and accuracy because of semantic gap between image's feature-level and semantic-level representations. Although many techniques have been developed for ...

A new natural image denoising method using a modified sparse coding (SC) algorithm proposed by us was discussed in this paper. This SC algorithm exploited the maximum Kurtosis as the maximizing sparse measure criterion at one time, a fixed variance term ...