scholarly journals Copying and Recreation Methods of Painting Works Relying on Mobile Digital Multimedia Big Data Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Li Xue ◽  
Chuangjian Yang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Image Coding ◽  
Feature Recognition ◽  
Big Data Analysis ◽  
Simulation Methods ◽  
Multimedia Big Data ◽  
Digital Multimedia ◽  
Processing Module ◽  
Big Data Technology

In order to improve the effect of copying and recreation of painting works, this paper combines mobile digital multimedia big data technology to improve the image coding algorithm, identify the characteristics of existing works, apply the algorithm to the detailed analysis of painting works, and construct the main functional structure modules of the system. Moreover, this paper combines the existing hardware equipment to construct the painting works’ recreation system and obtains the image processing module. After the system is constructed, the effect of copying and recreating painting works is analyzed through the mobile digital multimedia big data analysis technology. Finally, this paper constructs the system of this paper through simulation methods and uses experiments to calculate the feature recognition effect and copy effect of the painting works of the system. Through experimental analysis, it can be known that the copying and recreation system of painting works based on mobile digital multimedia big data analysis proposed in this paper can help painters effectively improve the effect of recreation.

Design of Computer Multimedia Intelligent Platform Using Big Data Analysis

2022 ◽  
Author(s):  
Zhenna Chen
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Multimedia Information ◽  
Real Time ◽  
Data Storage ◽  
Big Data Analysis ◽  
Intelligent Vehicle ◽  
Time Data ◽  
Vehicle Operation ◽  
Big Data Technology

This exploration aims to transfer, process and store multimedia information timely, accurately and comprehensively through computer comprehensive technology processing, and organically combine various elements under the background of big data analysis, so as to form a complete intelligent platform design for multimedia information processing and application. In this exploration, the intelligent vehicle monitoring system is taken as an example. Data acquisition, data transmission, real-time data processing, data storage and data application are realized through the real-time data stream processing framework of [Formula: see text] of big data technology. Data interaction is realized through Spring, Spring MVC, VUE front-end framework, and Ajax asynchronous communication local update technology. Data storage is achieved through Red is cache database, and intelligent vehicle operation supervision system is achieved through multimedia information technology processing. Its purpose is to manage the vehicle information, real-time monitor the running state of the vehicle and give an alarm when there are some problems. The basic functions of vehicle operation monitoring and management system based on big data analysis are realized. The research on the design of vehicle operation monitoring and management system based on big data analysis shows that big data technology can be applied to the design of computer multimedia intelligent platform, and provides a reference case for the development of computer multimedia intelligent platform based on big data analysis.

scholarly journals Research on the Communication Transformation and Its Risk Prevention Method in the Background of Big Data

2021 ◽  
Vol 2136 (1) ◽  
pp. 012041
Author(s):  
Haoyang Zhu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Risk Prevention ◽  
The Core ◽  
Practical Development ◽  
The Subject ◽  
Prevention Method ◽  
Streaming Big Data ◽  
Big Data Technology

Abstract The communication based on big data technology is an organized communication form built with data and algorithms as the core, which has a very serious risk of liquefaction in the practical development. Therefore, based on the understanding of the transformation of communication ontology and the uncertainty of the subject under the background of big data technology, this paper studies and analyzes the risk prevention countermeasures based on streaming big data analysis according to the alienated risks it presents.

scholarly journals Research on the Changing Trend of Employment-Relevant Terms Based on Internet Big Data Analysis

2021 ◽  
Vol 251 ◽  
pp. 01050
Author(s):  
Yang Wei
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Research Result ◽  
Big Data Analysis ◽  
Inverse Document Frequency ◽  
Teaching Administration ◽  
Employment Skills ◽  
Document Frequency ◽  
Changing Trend ◽  
Big Data Technology

With publicly-available data collected from mainstream information platforms, this study used the term frequency inverse document frequency (TF-IDF) algorithm to detect 74 popular terms and phrases about employment, analyzed the changes in the ranking of these terms and phrases, and visualized the changing trend in the attention to employment skills from 2017 to 2019. The research result will facilitate application of big data technology to teaching administration in colleges, and provide a guide for college students to plan their study of vocational skills.

scholarly journals Research on Influencing Factors of Export Complexity of Chinese High-tech Industry Based on Big Data Analysis

2021 ◽  
Vol 235 ◽  
pp. 03013
Author(s):  
Junsheng Wang ◽  
Zhong Ziqi ◽  
Haoran Wang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Rapid Development ◽  
Big Data Analysis ◽  
High Tech ◽  
Industrial Agglomeration ◽  
High Tech Industry ◽  
Technical Content ◽  
Big Data Technology

Export trade can measure the economic level of a country, but it can only reflect the amount of exports, but not the quality of exported products and the technical content of exported products. Therefore, domestic and foreign scholars have begun to study the complexity of export technology. The development of big data technology makes it possible to analyze the export complexity using big data analysis technology. With the rapid development of high-tech industries represented by high-end manufacturing, there is more and more research on the export of high-tech industries. Based on the existing research results, this article first introduces the current export profile of high-tech products and explains the concept of export complexity. Then, the flow of big data analysis was sorted out. Finally, this paper theoretically analyzes the influence of industrial agglomeration on industrial export complexity, and uses big data analysis and regression verification. The results show that industrial agglomeration has a significant role in promoting the export complexity of China’s high-tech products.

scholarly journals Overview of Construction and Application of Big Data Analysis Platform

2021 ◽  
Vol 4 (6) ◽  
Author(s):  
Difei Zhang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Resource Sharing ◽  
Data Exchange ◽  
Big Data Analysis ◽  
Time Data ◽  
Data Platform ◽  
Complete Data Analysis ◽  
Analysis Platform ◽  
Big Data Technology

Big data technology is widely spread around the world, and is constantly developing and applying. In order to enhance the application value of big data analysis platform, it is necessary to constantly improve the data analysis and processing capacity of big data platform, so as to build a complete data analysis platform, realize resource sharing and real-time data collection. As a key point of contemporary information development, big data analysis platform is of great significance to promote social data exchange. Based on this, this paper focuses on two aspects: first, it describes the construction process and content of big data platform; second, it summarizes the relevant application and development of big data platform for reference.

scholarly journals Feature Recognition of English Based on Deep Belief Neural Network and Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaoling Liu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Feature Recognition ◽  
Evaluation Method ◽  
Training Model ◽  
Recognition System ◽  
Big Data Analysis ◽  
Classification Algorithm ◽  
Deep Belief Network ◽  
Belief Network

Realizing accurate recognition of Chinese and English information is a major difficulty in English feature recognition. Based on this difficulty, this paper studies the English feature recognition model based on deep belief network classification algorithm and Big Data analysis. First, the basic framework based on deep belief network classification algorithm and Big Data analysis is proposed. Combined with the Big Data analysis training model, the English feature information is processed. Through the recognition of different English text features, the recognition and matching of English features are realized. Then the errors of deep belief network classification algorithm and Big Data analysis are evaluated. Second, this paper describes the quantitative evaluation of deep belief network classification algorithm and Big Data analysis in this system. In the evaluation, the language feature evaluation method is used to improve the evaluation function. At the same time, the deep belief network classification algorithm and Big Data analysis are used to self-study the model, and the English feature recognition method with strong applicability is established. Finally, the effectiveness of the recognition system is verified by the experiment.

scholarly journals Analysis on the Application of Big Data Technology in “Internet + Wisdom Judicial Expertise”

2021 ◽  
Vol 251 ◽  
pp. 01029
Author(s):  
Juan Xu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Structure ◽  
Big Data Analysis ◽  
Resource Network ◽  
Big Data Application ◽  
Application Requirements ◽  
Analysis Platform ◽  
Judicial Expertise ◽  
Big Data Technology

It can be seen from the current development process of the field of forensic expertise that there are many problems in the application of the mechanism of the information structure. These problems lead to imperfect informatization construction process and too limited identification forms, which will have a great impact on the final identification results. This article summarizes the main content of big data technology in the construction of “Internet + Wisdom Judicial Expertise”. This article discusses the specific application recommendations of big data technology in the “Internet + smart forensic appraisal”, from focusing on forensic appraisal data collection and sorting, understanding forensic appraisal big data application requirements, building forensic appraisal big data analysis platform, and strengthening big data analysis platform resource network sharing four aspects.

scholarly journals Multimedia big data analysis and retrieval

2017 ◽  
Author(s):  
Θεόδωρος Σεμερτζίδης
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Multimedia Big Data

Στα πλαίσια της παρούσας διδακτορικής διατριβής μελετάται το πρόβλημα της ανάλυσης και αναζήτησης πολυμεσικών δεδομένων σε μεγάλες και δυναμικές βάσεις δεδομένων, και ειδικότερα ζητήματα που έχουν να κάνουν με την υπολογιστικά αποδοτική διαχείριση, ανάλυση και αναζήτηση μέσα σε μεγάλες βάσεις πολυμεσικών περιγραφέων (multimedia descriptors) και άλλων μεταδεδομένων πολυμέσων. Συγκεκριμένα, αρχικά παρουσιάζεται η σχετική βιβλιογραφία με έμφαση στα πολυμέσα, το διαδίκτυο και τα κοινωνικά δίκτυα. Στην συνέχεια, παρουσιάζεται μία νέα μέθοδος ομαδοποίησης (clustering) μεγάλου όγκου πολυδιάστατων διανυσματικών δεδομένων με χρήση ημι-εποπτευόμενης μάθησης και περιορισμούς, και παρατίθεται συγκριτική αξιολόγηση της μεθόδου με άλλες σχετικές μεθόδους. Ακολουθεί η παρουσίαση μεθόδου ομαδοποίησης πολυμεσικών δεδομένων από κοινωνικά δίκτυα για τον εντοπισμό συμβάντων στον πραγματικό κόσμο. Επιπρόσθετα παρουσιάζεται μία μεθοδολογία για την ανάλυση πολυδιάστατων διανυσμάτων περιγραφέων και η χρήση της για την αποδοτική διευθυνσιοδότηση (indexing) περιγραφέων εικόνων διατηρώντας το υπολογιστικό κόστος χαμηλό. Επιπλέον παρουσιάζεται μεθοδολογία και ερευνητικά αποτελέσματα για την, σε πραγματικό χρόνο, ανάλυση και αναζήτηση πολυμέσων μεγάλου όγκου με την συνέργια υπολογιστικών μεθόδων με ανθρωποκεντρικές τεχνικές και την συλλογική ευφυΐα. Τέλος, παρουσιάζεται ένα πρωτόκολλο για την αποδοτική αναζήτηση πολυμέσων μέσα σε περιεχομενο-κεντρικά δίκτυα (Content-Centric Networks), καθώς και παρουσιάζεται η εφαρμογή του σε αναζήτηση εικόνων και 3Δ αντικειμένων σε ένα πειραματικό δίκτυο. Η διατριβή ολοκληρώνεται με την σύντομη παρουσίαση του λογισμικού που αναπτύχθηκε κατά την διάρκεια αυτής της προσπάθειας.

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