Advances in Multimedia
 Journal metrics
See full report
Acceptance rate62%
Submission to final decision46 days
Acceptance to publication24 days
CiteScore2.200
Journal Citation Indicator0.260
Impact Factor-

Design of Sports Training Improvement and Evaluation Method under the Background of Big Data

Read the full article

 Journal profile

Advances in Multimedia publishes research on the technologies associated with multimedia systems, including computer-media integration for digital information processing, storage, transmission, and representation.

 Editor spotlight

Advances in Multimedia maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

 Special Issues

We currently have a number of Special Issues open for submission. Special Issues highlight emerging areas of research within a field, or provide a venue for a deeper investigation into an existing research area.

Latest Articles

More articles
Research Article

Optimized Sample Adaptive Offset Filter in HEVC

The high-efficiency video coding (HEVC) standard incorporates sample adaptive offset (SAO) as an in-loop filtering technique to reduce distortion. The fundamental tenet of SAO is to classify every reconstructed pixel and then simply add the offset to each group of pixels. The previous existing technique employs 32 bands in band offset (BO) calculation to determine the proper offset value to minimize the distortion in the SAO estimate algorithm for statistics collection and parametric determination procedure. The suggested method will reduce the necessary band count by 16 bands. It does not alter how edge offset is determined in any way. It offers enough and efficient room for creating superior band group predictions and selections, as well as an ideal decrease in the implemented area. Thus, reducing the number of bands to 16 also decreases the amount of storage needed to hold each pixel’s information in binary files by up to 0.65%.

Research Article

The Application of New Educational Concepts in Digital Educational Media

With the development and progress of society, great changes have taken place in educational concepts and teaching models compared with the past. Faced with the new educational concept of advocating diversified teaching modes and all-round talent training, the teaching space under the traditional single-fixed teaching mode is insufficient. The field of digital media education is a form of education with the development of information technology. The purpose of this paper is to find out the construction form of teaching space under the new educational concept that adapts to the development of the social era and to respond to the constantly updated and emerging educational concept and teaching mode. The process is as follows: based on the collected education data, mining the specific factors that will affect the application ability of teachers’ digital education resources and building a multiple machine learning regression model using these objective and significant features to predict the score of teachers’ digital education resources application ability. Through the comparison and optimization of model performance, a more suitable prediction method was found. MSE, MAE, RMSE, and MAPE are used as performance evaluation indicators to compare the performance of each model. It is found that there are multilayer linear regression < mild gradient advance < extreme gradient advance < random forest in each indicator. In addition, in the two integration models, bagging idea represented by the random forest is more suitable for this group than two gradient boosting.

Research Article

Target Recognition Technology of Multimedia Platform Based on a Convolutional Neural Network

With the rapid development of the Internet, network media, as a new form of information dissemination, has penetrated into people’s daily life. In recent years, with the rapid transformation of Chinese social structure and the rise of self-media platforms, various social contradictions have been highlighted in the form of online public opinion. Especially on online multimedia platforms, the spread of online public opinion is more rapid, which can easily lead to social hotspots. In order to effectively supervise the public opinion information on the Internet, it is necessary to identify the target of the information on the multimedia platform and effectively screen the information, so as to control the network public opinion in the development stage. Aiming at the above problems, we propose a multitarget retrieval method based on a convolutional neural network, which uses multitarget detection algorithm to locate multitarget regions and extract regional features and uses cosine distance as a similarity measure for multitarget recognition. In view of the slow feature extraction speed of VGG model, a lightweight mobile network model is proposed to replace the original VGG model on the mobile phone to reduce the retrieval time and realize the recognition of specific targets on the multimedia platform, and it is applied to the verification of image recognition on the multimedia platform. The results show that the algorithm proposed in this paper has great advantages in multitarget recognition tasks.

Research Article

The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data

With the gradual prosperity of social economy, people’s demand for agricultural products consumption has also gradually increased. Through the efficient introduction of big data technology, we can optimize and innovate the management system of agricultural cold chain logistics enterprises, realize the modernization of enterprise logistics management, and effectively improve the management efficiency of agricultural cold chain logistics enterprises. Using big data technology can improve the efficiency of information docking, improve the stickiness of enterprise customers, and speed up the value-added of cold chain logistics data. This study introduces the common clustering algorithms in the field of cold chain logistics, with emphasis on the spectral clustering algorithm. The spectral clustering algorithm not only reduces the error rate but also significantly reduces the time spent in the clustering process, which shows the effectiveness and feasibility of the application of spectral clustering algorithm in China’s agricultural cold chain logistics industry.

Research Article

Design and Dynamic Analysis of Ideological and Political Education Platform Based on Network Multimedia Technology

Network multimedia is a shape of mass media supported by the new technique system, and its main equipment includes mobile phones, notebook computers, and digital TVs. With the growth of science and technique, multimedia technique is also evolving rapidly and has got a section of people’s activity. The emergence of network multimedia has introduced the technology of the new era into people’s lives, which has had a significant influence on the thought-political teaching of today’s learner. As a group of users in the “digital age”, college students’ thinking, behavior, and concept are all influenced by the multimedia network. The fast growth of multimedia network not only brings thought-political opportunities to students, but also brings problems. Because of the thought-political education platform design and ideological dynamic analysis of network multimedia technology, this study analyzes the construction and teaching circumstances of the platform, and then uses principal component analysis to analyze students’ political theory, political attitude, civilized etiquette, observance of thought, collective thought, public welfare thought, analysis of learning ideas, get the eigenvalues and variance %, of which the proportion of variance of the first four principal components exceeds 90%; public welfare activities and the idea of abiding by laws and regulations have a better influence on the first main component; collective thinking has a comparison on the impact of the second principal component, the correlation between the indicators of thought-political education and the concept of students’ quality is greater than 0.75; it shows that each index has a large degree of correlation with the concept of students’ quality, among which Political attitudes have the greatest impact on students’ quality outlook, with a correlation coefficient of 0.911; secondly, using a nonhomogeneous hidden Markov model to analyze ideological dynamics, we can get the learning situation in different ideological states; finally, the hot spots during the epidemic are related to ideological dynamics Sexual analysis showed that the values were all less than 0.05, and the correlation analysis between hotspots and ideological dynamics during the epidemic was significant, namely “national sentiments”, “social responsibility”, “angels in white”, “Chinese power”, and “the benevolence of doctors”. The hot words of “Youth Responsibility” have an active impact on the ideological state of learners, and their correlations are all above 0.7, and the correlation is strong. Network multimedia is a shape of mass media supported by the new technique system, and its main equipment includes mobile phones, notebook computers, and digital TVs. With the growth of science and technique, multimedia technique is also evolving rapidly and has got a section of people’s activity. The emergence of network multimedia has introduced the technology of the new era into people’s lives, which has had a significant influence on the thought-political teaching of today’s learner.

Research Article

A Study on the Influence of Interactivity on Behavior Intention in Platform B2C Model

The progress of information technology and the popularity of the Internet have led to the rapid development of the network economy, and as a new shopping method, online shopping is gradually accepted and respected by consumers. With the development and maturity of online shopping market, the concept of consumers has also been changing, gradually changing from “panning for cheap” and “panning for convenience” to “panning for quality,” paying more attention to the quality of goods and services. B2C is more trusted by consumers than C2C in terms of reputation and quality assurance, so it has gradually become a hot spot in online shopping. With the popularization of online shopping, the development of e-commerce is increasingly characterized by the platform, and it is more and more difficult for shopping websites to attract online consumers with rich product information and functions alone. Using college students with online shopping experience in T-mall as the research subjects, descriptive analysis, exploratory factor analysis, correlation analysis, and regression analysis were used to study the influence of interactivity on customers’ behavioral intention under the platform-based model from a perception perspective.

Advances in Multimedia
 Journal metrics
See full report
Acceptance rate62%
Submission to final decision46 days
Acceptance to publication24 days
CiteScore2.200
Journal Citation Indicator0.260
Impact Factor-
 Submit

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.