Advances in Computational Vision and Robotics

ICCVR-2023 Conference Committee
Preface
Acknowledgements
About This Book
Contents
About the Editors
Part I Pattern Recognition and Robotic Vision
1 Design of Piano Automatic Accompaniment System Based on Markov Model
1.1 Introduction
1.2 Methodology
1.2.1 Related Theory of Algorithmic Composition
1.2.2 Automatic Piano Accompaniment System Based on HMM
1.3 Result Analysis and Discussion
1.4 Conclusions
References
2 3D Visual Design of Music Based on Multi-audio Features
2.1 Introduction
2.2 Methodology
2.2.1 Audio Visualization Method
2.2.2 Multi-audio Feature Extraction of Music
2.3 Result Analysis and Discussion
2.4 Conclusions
References
3 Construction of Humming Music Retrieval Model Based on Particle Swarm Optimization
3.1 Introduction
3.2 Related Music Knowledge in Humming Music Retrieval
3.2.1 Elements of Sound
3.2.2 The Relationship and Difference Between Voice Signals and Humming Music Signals
3.3 Constructing a Humming Music Retrieval Model
3.3.1 Basic Framework
3.3.2 Model Application
3.4 Conclusions
References
4 Research on Audio Processing Method Based on 3D Technology
4.1 Introduction
4.2 Audio Processing Method Based on 3D Technology
4.3 Result Analysis and Discussion
4.4 Conclusions
References
5 Design and Optimization of Point Cloud Registration Algorithm Based on Stereo Vision and Feature Matching
5.1 Introduction
5.2 Research Method
5.2.1 Stereo Vision Model
5.2.2 Feature Matching Based on Stereo Vision
5.3 Experiment and Analysis
5.4 Conclusion
References
6 Design of 3D Point Cloud Real-Time Cloud Matching Algorithm Based on Multi-scale Feature Extraction
6.1 Introduction
6.2 Research Method
6.2.1 Multiscale Feature Extraction
6.2.2 Real-Time Cloud Matching Acceleration of 3D Point Cloud
6.3 Experimental Analysis
6.4 Conclusion
References
7 Design of Digital Music Copyright Protection System Based on Blockchain Technology
7.1 Introduction
7.2 Research Method
7.2.1 System Overall Design
7.2.2 Key Technology Realization
7.3 Result Analysis
7.4 Conclusion
References
8 Personalized Music Recommendation Model Based on Collaborative Filtering Algorithm and K-Means Clustering
8.1 Introduction
8.2 Collaborative Filtering Algorithm
8.3 Design of Personalized Music Recommendation Model
8.4 Implementation of a Personalized Music Recommendation Model
8.4.1 Personalized Music Model Recommendation Process
8.4.2 Result Analysis
8.5 Conclusions
References
9 Simulation of Fuzzy Calculation Model of Music Emotion Based on Improved Genetic Algorithm
9.1 Introduction
9.2 Simulation Research on Fuzzy Computing Model of Music Emotion
9.2.1 Quantitative Research on Musical Emotion
9.2.2 Construction of a Fuzzy Computing Model for Music Emotion
9.3 Simulation of Fuzzy Calculation Model of Music Emotion Based on Improved GA
9.3.1 Improved GA Model
9.3.2 Analysis of Experimental Results
9.4 Conclusion
References
10 Design and Implementation of Piano Performance Automatic Evaluation System Based on Support Vector Machine
10.1 Introduction
10.2 Methodology
10.2.1 Related Technical Basis
10.2.2 Design and Implementation of Automatic Assessment System for Piano Performance
10.3 Result Analysis and Discussion
10.4 Conclusions
References
11 Simulation of Music Personalized Recommendation Model Based on Collaborative Filtering
11.1 Introduction
11.2 Simulation of Music Personalized Recommendation Model
11.2.1 Basic Theory of Music Recommendation System
11.2.2 Personalized Recommendation System and Related Technologies
11.3 Simulation of Music Personalized Recommendation Model Based on CF
11.3.1 Collaborative Filtering Algorithm
11.3.2 Analysis of Experimental Results
11.4 Conclusion
References
12 Design and Optimization of Image Recognition and Classification Algorithm Based on Machine Learning
12.1 Introduction
12.2 Image Classification and Retrieval Method Based on Image Visual Features
12.2.1 Theoretical Basis of Machine Learning Recognition Algorithm
12.2.2 Research on Virtual Sample Algorithm in Image Recognition
12.3 Image Retrieval Method Combining Machine Learning with Image Visual Features
12.3.1 Image Recognition Advertising Classification Algorithm Model
12.3.2 Experimental Analysis Results
12.4 Conclusion
References
13 Design of Path Planning Algorithm for Intelligent Robot Based on Chaos Genetic Algorithm
13.1 Introduction
13.2 Concept and Principle of Chaotic Genetic Algorithm
13.3 Path Planning Method
13.3.1 Coding Based on Geographic Information
13.3.2 Simplification of Robot Control Parameters
13.4 Simulation Study
13.5 Conclusions
References
14 Design and Development of Rail Transit Overhead Contact Line Monitoring System Based on Image Processing
14.1 Introduction
14.2 Related Concepts
14.2.1 Catenary
14.2.2 Image Processing Technology
14.3 System Design
14.3.1 Overall Scheme Design
14.3.2 Monitoring Preprocessing Module
14.3.3 Monitoring Terminal Energy Consumption Analysis
14.4 System Implementation
14.4.1 Monitoring Terminal Energy-Saving Mode
14.4.2 System Performance Test
14.5 Conclusion
References
15 Ultrasonic Signal Processing Method for Transformer Oil Based on Improved EMD
15.1 Introduction
15.2 Tests and Methods
15.2.1 Ultrasonic Testing
15.2.2 Ultrasonic Signal Processing Method Based on Improved EMD
15.3 Results and Discussion
15.4 Conclusion
References
16 Research on UHV Transmission Line Selection Strategy Aided by Satellite Remote Sensing Image
16.1 Introduction
16.2 Research Method
16.2.1 Data Processing
16.2.2 Precise Correction of RS Image
16.2.3 Transmission Line Path Optimization
16.3 Accuracy Analysis
16.4 Conclusions
References
17 Research on the Evaluation of the Teaching Process of Public Physical Education in Universities Based on Markov Model
17.1 Introduction
17.2 Research Method
17.2.1 Establishment of Evaluation Index System
17.2.2 Markov Model
17.3 An Example of Evaluation of Public PE Class Teaching Process
17.4 Conclusion
References
Part II Artificial Intelligence and Deep Learning Application
18 Simulation Design of Matching Model Between Action and Music Tempo Characteristics Based on Artificial Intelligence Algorithm
18.1 Introduction
18.2 Methodology
18.2.1 Basic Technology of Artificial Intelligence
18.2.2 Construction of Matching Model Between Dance Actions and Music Tempo Characteristics
18.3 Result Analysis and Discussion
18.4 Conclusions
References
19 Design and Optimization of Frequency Identification Algorithm for Monomelody Musical Instruments Based on Artificial Intelligence Technology
19.1 Introduction
19.2 Methodology
19.2.1 Overall Structure of Audio Features
19.2.2 Frequency Identification Algorithm of Musical Instruments in Single Melody Music
19.3 Result Analysis and Discussion
19.4 Conclusion
References
20 Design of Intelligent Evaluation Algorithm for Matching Degree of Music Words and Songs Based on Grey Clustering
20.1 Introduction
20.2 Methodology
20.2.1 Representation and Extraction of Melody Features
20.2.2 Digital Music Signal Denoising Algorithm
20.3 Result Analysis and Discussion
20.4 Conclusion
References
21 Construction of Evaluation Model for Singing Pronunciation Quality Based on Artificial Intelligence Algorithms
21.1 Introduction
21.2 Two Evaluation Systems Based on Artificial Intelligence Algorithm
21.2.1 Objective Evaluation Based on the Extraction of Evaluation Parameters of Singing Voice
21.2.2 An Objective Evaluation Mechanism Based on Subjective Evaluation Criteria Quantification
21.3 Evaluation Model of Singing Pronunciation Quality
21.4 Analysis of Experimental Results
21.5 Conclusions
References
22 Design and Optimization of Intelligent Composition Algorithm Based on Artificial Intelligence
22.1 Introduction
22.2 Model and Algorithm Design
22.2.1 Music Feature Extraction
22.2.2 Intelligent Composition Algorithm
22.3 Result Analysis and Discussion
22.4 Conclusions
References
23 Design of Computer-Aided Music Generation Model Based on Artificial Intelligence Algorithm
23.1 Introduction
23.2 Research Method
23.2.1 Data Preprocessing
23.2.2 Implementation of AI Algorithm
23.3 Experimental Analysis
23.4 Conclusion
References
24 Construction of Electronic Music Classification Model Based on Machine Learning and Deep Learning Algorithm
24.1 Introduction
24.2 Constructing EM Classification Model
24.2.1 Overall Structural Design
24.2.2 Multi Layer Perceptual Feature Classification Processing
24.3 Construction of EM Classification Model Based on ML and DL Algorithms
24.3.1 NN Algorithm Model for ML Optimization
24.3.2 Analysis of Experimental Results
24.4 Conclusion
References
25 Design of Piano Automatic Accompaniment System Based on Artificial Intelligence Algorithm
25.1 Introduction
25.2 Research Method
25.2.1 Design of Piano Automatic Accompaniment Algorithm
25.2.2 System Structure Design
25.3 Result Analysis
25.4 Conclusion
References
26 The Importance of the Application of Intelligent Management System to Laboratory Management in Colleges and Universities
26.1 Introduction
26.2 Composition of Intelligent Management System
26.3 Advantages and Workflow Analysis of Laboratory Intelligent Management System
26.4 Application of Intelligent Management System in Laboratory Management in Colleges and Universities
26.5 Conclusion
References
27 Design of Defect Detection Algorithm for Printed Packaging Products Based on Computer Vision
27.1 Introduction
27.2 Methodology
27.2.1 Printing Packaging Defect Detection
27.2.2 Printing Defect Detection Algorithm
27.3 Result Analysis and Discussion
27.4 Conclusions
References
28 Leap Motion Gesture Information Collection and Gesture Interaction System Construction
28.1 Introduction
28.2 Methodology
28.2.1 Collection and Processing of Gesture Data
28.2.2 Gesture Recognition Model of Interactive System
28.3 Result Analysis and Discussion
28.4 Conclusion
References
29 Optimization of Moving Object Tracking Algorithm Based on Computer Vision and Vision Sensor
29.1 Introduction
29.2 Methodology
29.2.1 Computer Vision and Moving Object Detection
29.2.2 Moving Target Tracking Algorithm
29.3 Result Analysis and Discussions
29.4 Conclusion
References
30 Simulation Experiment of DPCM Compression System for High Resolution Multi-spectral Remote Sensing Images
30.1 Introduction
30.2 Research Method
30.2.1 WT and Bit Plane Coding
30.2.2 Segmentation DPCM Compression Algorithm
30.3 Simulation Experiment Analysis
30.4 Conclusions
References
Part III Big Data Application in Robotics
31 Construction of Music Classification and Detection Model Based on Big Data Analysis and Genetic Algorithm
31.1 Introduction
31.2 Construction of Music Classification and Detection Model
31.2.1 Related Technologies and Implementation Methods of Music Retrieval
31.2.2 Construction of Music Classification Model
31.3 Analysis of Music Classification and Detection Construction Based on Big Data Analysis and Genetic Algorithm
31.3.1 Model Simulation Base on Big Data Analysis and Genetic Algorithm
31.3.2 Analysis of Experimental Results
31.4 Conclusion
References
32 Simulation of Electronic Music Signal Identification Model Based on Big Data Algorithm
32.1 Introduction
32.2 Music Signal Feature Recognition
32.3 Result Analysis and Discussion
32.4 Conclusion
References
33 Design of Interactive Teaching Music Intelligent System Based on AI and Big Data Analysis
33.1 Introduction
33.2 Methodology
33.2.1 Relevant Theoretical and Technical Basis
33.2.2 Construction of Reciprocal Teaching Music Intelligent System
33.3 Result Analysis and Discussion
33.4 Conclusions
References
34 Research on Music Database Construction Combining Big Data Analysis and Machine Learning Algorithm
34.1 Introduction
34.2 Methodology
34.2.1 Big Data Analysis and Machine Learning Algorithms
34.2.2 Construction of Music Database and Recommendation System
34.3 Result Analysis and Discussion
34.4 Conclusions
References
35 Construction and Optimization Design of Pop Music Database Based on Big Data Technology
35.1 Introduction
35.2 Research Method
35.2.1 Overall Design of Pop Music Database
35.2.2 Database Query Optimization
35.3 Simulation Experiment
35.4 Conclusion
References
36 The Application of Big Data in the Construction of Modern Vocal Education Score Database
36.1 Introduction
36.2 Basic Content of Music Score Database Construction
36.2.1 Construction of Music Score Database
36.2.2 The Concrete Method of Music Score Database Construction
36.3 Application of BD in the Construction of Music Score Database for Modern Vocal Pedagogy
36.3.1 Improved Parallel Association Rule Mining Algorithm Based on Vocal Music Education Data
36.3.2 Analysis of Experimental Results
36.4 Conclusion
References
37 Application of Big Data Analysis Technology in Music Style Recognition and Classification
37.1 Introduction
37.2 Methodology
37.2.1 Digital Management of Music Audio and Video Driven by Big Data
37.2.2 Music Style Recognition and Classification Algorithm
37.3 Result Analysis and Discussion
37.4 Conclusion
References
38 Construction of Piano Music Recognition System Based on Big Data Algorithm
38.1 Introduction
38.2 Basic Characteristics of Piano Music and Music Signal Preprocessing
38.2.1 Overview of Piano Music Characteristics
38.2.2 Piano Music Signal Preprocessing
38.3 System Design
38.4 System Test and Result Analysis
38.5 Conclusions
References
39 Design of Music Recommendation Algorithm Based on Big Data Analysis and Cloud Computing
39.1 Introduction
39.2 Research Method
39.2.1 User Behavior and User Portrait Modeling
39.2.2 Implementation of Music Recommendation Algorithm
39.3 Experimental Analysis
39.4 Conclusion
References
40 Simulation of Sports Damage Assessment Model Based on Big Data Analysis
40.1 Introduction
40.2 Research Method
40.2.1 Establishment of Risk Factors of Sports Injury
40.2.2 Construction of Sports Injury Assessment Model
40.3 Simulation Analysis
40.4 Conclusion
References
41 Construction of Purchase Intention Model of Digital Music Products Based on Data Mining Algorithm
41.1 Introduction
41.2 Methodology
41.2.1 Features of Digital Music Products
41.2.2 Digital Music Product Purchase Prediction Model
41.3 Result Analysis and Discussion
41.4 Conclusion
References
42 English Learning Analysis and Individualized Teaching Strategies Based on Big Data Technology
42.1 Introduction
42.2 Introduction of Educational Big Data and Related Technologies
42.2.1 Big Data for Education
42.2.2 Education Data Mining
42.2.3 The Relationship Between English Teaching and Big Data
42.3 Application of Data Mining Technology in Learning Analysis
42.3.1 Learning Analysis Techniques
42.3.2 Construction of Learning Analysis Technology Model
42.4 Application of Data Mining Technology in Personalized English Teaching
42.4.1 Teaching Design
42.4.2 Use Learning Analysis Technology to Analyze Personalized Data
42.4.3 Personalized Data Feedback
42.5 English Teaching Practice
42.5.1 Research Object Selection and Analysis
42.5.2 Analysis of the Effect of Personalized Learning Supported by WeChat Network Platform
42.5.3 Discussion of Practical Results
42.6 Conclusion
References
43 Research on Distributed Storage and Efficient Distribution Technology of High Resolution Optical Remote Sensing Data
43.1 Introduction
43.2 Related Work
43.3 Methodology
43.4 Result Analysis and Discussion
43.5 Conclusions
References
44 Research and Application of Digital Modeling Technology Based on Multi-source Data of Power Grid
44.1 Introduction
44.2 Related Work
44.3 Research on Digital Modeling Technology Based on Multi-source Data of Power Grid
44.3.1 Power Grid Multi-source Data Perception and Extraction
44.3.2 Digital Modeling of Multi-source Data in Power Grids
44.4 Application of Digital Model Based on Multi-source Data of Power Grid
44.4.1 Electricity Compliance Inspection Based on Digital Power Model
44.4.2 Application of Power Equipment State Feature Analysis Based on Digital Power Model
44.5 Application Results
References
45 Construction of Music Popular Trend Prediction Model Based on Big Data Analysis
45.1 Introduction
45.2 Description and Preprocessing of Music Data
45.2.1 Data Description
45.2.2 Data Analysis
45.3 Construction and Analysis of Numerical Prediction Model
45.3.1 Prediction Model of Music Pop Trend
45.3.2 Prediction and Analysis of Music Trend Based on Big Data Analysis
45.4 Conclusions
References
Part IV Deep Learning and Neural Network
46 Construction of Personalized Music Emotion Classification Model Based on BP Neural Network Algorithm
46.1 Introduction
46.2 Analysis and Extraction of Music Emotional Eigenvalues
46.2.1 MIDI Audio File Analysis
46.2.2 Main Track Recognition
46.2.3 Feature Extraction of MIDI Audio Files
46.3 Construction of Music Emotion Classification Model Based on BP Neural Network
46.4 Analysis of Experimental Results
46.5 Conclusions
References
47 Music Main Melody Recognition Algorithm Based on BP Neural Network Model
47.1 Introduction
47.2 Methodology
47.2.1 Digital Processing of Acoustic and Speech Signals
47.2.2 Music Main Melody Recognition Algorithm
47.3 Result Analysis and Discussion
47.4 Conclusions
References
48 Design of Piano Score Difficulty Level Recognition Algorithm Based on Artificial Neural Network Model
48.1 Introduction
48.2 Methodology
48.2.1 Piano Audio Signal Recognition
48.2.2 Algorithm Design of Piano Score Difficulty Level Recognition
48.3 Result Analysis and Discussion
48.4 Conclusions
References
49 Design and Optimization of Improved Recognition Algorithm for Piano Music Based on BP Neural Network
49.1 Introduction
49.2 Methodology
49.2.1 The Main Task of Music Recognition
49.2.2 Improvement of BPNN in Piano Music Recognition
49.3 Result Analysis and Discussion
49.4 Conclusions
References
50 Design of Piano Music Type Recognition Algorithm Based on Convolutional Neural Network
50.1 Introduction
50.2 Methodology
50.2.1 Related Technical Basis
50.2.2 Design of Piano Music Type Recognition Algorithm
50.3 Result Analysis and Discussion
50.4 Conclusions
References
51 Application of Emotion Recognition Technology Based on Support Vector Machine Algorithm in Interactive Music Visualization System
51.1 Introduction
51.2 Research Method
51.2.1 Emotion Recognition Based on SVM Algorithm
51.2.2 Realization of Interactive Music Visualization System
51.3 Result Analysis
51.4 Conclusion
References
52 Research on Image Classification Algorithm of Film and Television Animation Based on Generative Adversarial Network
52.1 Introduction
52.2 Methodology
52.2.1 Image Characteristics of Contemporary Film and Television Animation
52.2.2 Video Animation Image Classification Algorithm Based on GAN
52.3 Result Analysis and Discussion
52.4 Conclusion
References
53 Study on Monitoring Forest Disturbance During Power Grid Construction Based on BJ-3 Satellite Image
53.1 Introduction
53.2 Study Area and Data
53.3 Study Method
53.3.1 High-Resolution Image Segmentation
53.3.2 Feature Selection
53.3.3 Forest Information Extraction and Interference Monitoring
53.4 Result Analysis
53.5 Conclusion
References
54 Transformative Advances in English Learning: Harnessing Neural Network-Based Speech Recognition for Proficient Communication
54.1 Introduction
54.2 Related Research
54.2.1 Introduction of Neural Network
54.2.2 Introduction of Speech Recognition in Oral English Learning
54.3 Simulation and Experiment of Speech Recognition in Oral English Learning Based on Neural Network
54.3.1 Introduction
54.3.2 Evaluation Metrics for Assessing Speech Recognition Performance in Oral English Learning
54.3.3 Experimental Results and Analysis
54.4 The Role of Neural Network-Based Speech Recognition in Shaping the Future of Oral English Learning
54.5 Conclusion
References