Open Access
REVIEW
Tong Jiang*
Journal of New Media, Vol.2, No.2, pp. 45-60, 2020, DOI:10.32604/jnm.2020.09823
Abstract Recently, person Re-identification (person Re-id) has attracted more and
more attention, which has become a research focus of computer vision community.
Person Re-id is used to ascertain whether the target pedestrians captured by cameras
in different positions at different moments are the same person or not. However, due
to the influence of various complex factors, person Re-id still has a lot of holes to be
filled. In this paper, we first review the research process of person Re-id, and then,
two kinds of mainstream methods for person Re-id are introduced respectively,
according to the different types of training data they… More >
Open Access
ARTICLE
Xiaoyan Chen, Jiahuan Chen*, Zhongcheng Sha
Journal of New Media, Vol.2, No.2, pp. 61-77, 2020, DOI:10.32604/jnm.2020.010062
Abstract Aiming at the problem that the detection effect of traditional edge
detection algorithm is not good, and the problem that the existing edge detection
algorithm based on convolution network cannot solve the thick edge problem
from the model itself, this paper proposes a new edge detection method based on
the generative adversarial network. The confrontation network consists of
generator network and discriminator network, generator network is composed of
U-net network and discriminator network is composed of five-layer convolution
network. In this paper, we use BSDS500 training data set to train the model.
Finally, several images are randomly selected from BSDS500… More >
Open Access
ARTICLE
Wangdong Jiang, Dongling Zhang*, Yapeng Peng, Guang Sun, Ying Cao, Jing Li
Journal of New Media, Vol.2, No.2, pp. 79-90, 2020, DOI:10.32604/jnm.2020.010088
Abstract With the rapid development of science and technology and the
increasing popularity of the Internet, the number of network users is gradually
expanding, and the behavior of network users is becoming more and more
complex. Users’ actual demand for resources on the network application
platform is closely related to their historical behavior records. Therefore, it is
very important to analyze the user behavior path conversion rate. Therefore, this
paper analyses and studies user behavior path based on sales data. Through
analyzing the user quality of the website as well as the user’s repurchase rate,
repurchase rate and retention rate in… More >
Open Access
ARTICLE
Leyao Chen, Lei Hong*, Jiayin Liu
Journal of New Media, Vol.2, No.2, pp. 91-98, 2020, DOI:10.32604/jnm.2020.010125
Abstract This paper aims to analyze the microblog data published by the
official account in a certain province of China, and finds out the rule of Weibo
that is easier to be forwarded in the new police media perspective. In this paper, a
new topic-based model is proposed. Firstly, the LDA topic clustering algorithm
is used to extract the topic categories with forwarding heat from the microblogs
with high forwarding numbers, then the Naive Bayesian algorithm is used to
topic categories. The sample data is processed to predict the type of microblog
forwarding. In order to evaluate this method, a large… More >
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