Advances in Computational Vision and Robotics. Proceedings of the International Conference on 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