Open Access
ARTICLE
Jiancheng Zou1, Na Zhu1,*, Bailin Ge1, Don Hong2
Journal of New Media, Vol.3, No.1, pp. 1-10, 2021, DOI:10.32604/jnm.2021.017763
Abstract We propose an improved a single-shot detector (SSD) algorithm to
detect falls of the elderly. The VGG16 network part of the SSD network is
replaced with the MobilenetV2 network. At the same time, we change the
infrastructure of MobilenetV2 network, the three layers that were not downsampled at the end were removed, which can make the model structure simpler
and faster to detect. The complete Intersection-over-Union (CIoU) loss function
is introduced to get a good regression of the target borders that have different
sizes and different proportions. We use Feature Pyramid Network (FPN) for upsampling, it can fuse low-level feature… More >
Open Access
REVIEW
Zhiyuan Luo*
Journal of New Media, Vol.3, No.1, pp. 11-17, 2021, DOI:10.32604/jnm.2021.018027
Abstract Person re-ID is becoming increasingly popular in the field of modern
surveillance. The purpose of person re-ID is to retrieve person of interests in
non-overlapping multi-camera surveillance system. Due to the complexity of the
surveillance scene, the person images captured by cameras often have problems
such as size variation, rotation, occlusion, illumination difference, etc., which
brings great challenges to the study of person re-ID. In recent years, studies
based on deep learning have achieved great success in person re-ID. The
improvement of basic networks and a large number of studies on the influencing
factors have greatly improved the accuracy of… More >
Open Access
ARTICLE
Mingming Yang*, Junchuan Yang
Journal of New Media, Vol.3, No.1, pp. 19-27, 2021, DOI:10.32604/jnm.2021.018267
Abstract Every day we receive a large amount of information through different
social media and software, and this data and information can be realized with the
advent of data mining methods. In the process of data mining, to solve some
high-dimensional problems, feature selection is carried out in limited training
samples, and effective features are selected. This paper focuses on two Relief
feature selection algorithms: Relief and ReliefF algorithm. The differences
between them and their respective applicable scopes are analyzed. Based on
Relief algorithm, the high weight feature subset is obtained, and the correlation
between features is calculated according to the… More >
Open Access
ARTICLE
Jianwei Zhang, Zhenxing Wang, Yuhui Zheng, Guoqing Zhang*
Journal of New Media, Vol.3, No.1, pp. 29-39, 2021, DOI:10.32604/jnm.2021.018383
Abstract Image super resolution is an important field of computer research. The
current mainstream image super-resolution technology is to use deep learning to
mine the deeper features of the image, and then use it for image restoration.
However, most of these models mentioned above only trained the images in a
specific scale and do not consider the relationships between different scales of
images. In order to utilize the information of images at different scales, we
design a cascade network structure and cascaded super-resolution convolutional
neural networks. This network contains three cascaded FSRCNNs. Due to each
sub FSRCNN can process a specific… More >