Facing the new requirements of building a digital engineering ecology, this paper proposes an integration method of PDM system and archive management system based on intermediate table, based on the analysis of the current situation of product electronic data archive management and combined with the requirements of military secrecy, for the process of archiving electronic data in military research institutes. The method realizes the automatic archiving of development models、 processes、documents and other data to the file management system, reduces the manual intervention of archivists, and improves the efficiency of file management. The uniqueness of product data is ensured.
{"title":"Research on the integration method of PDM system and file management system based on intermediate table","authors":"Lu Jia, Yongle He, Jing Li","doi":"10.1145/3569966.3570044","DOIUrl":"https://doi.org/10.1145/3569966.3570044","url":null,"abstract":"Facing the new requirements of building a digital engineering ecology, this paper proposes an integration method of PDM system and archive management system based on intermediate table, based on the analysis of the current situation of product electronic data archive management and combined with the requirements of military secrecy, for the process of archiving electronic data in military research institutes. The method realizes the automatic archiving of development models、 processes、documents and other data to the file management system, reduces the manual intervention of archivists, and improves the efficiency of file management. The uniqueness of product data is ensured.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133577280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bo Zhao, Wenbo Shang, Chunliang Li, Chunhui Du, Xinrui Liu
Insulators are insulating materials used in the construction of electrical transmission systems. They play vital roles in high-voltage transmission lines. The degree of insulators’ damage is related to the stability of the whole power supply line. Therefore, regular inspection of insulators along transmission lines is necessary. The traditional manual inspection is costly and inefficient. There is a great prospect of replacing manual inspection by unmanned aerial vehicles inspection. To address the problems of complex backgrounds and low damage identification in insulator images as we limited arithmetic power of UAV, this paper proposes an improved Cooratt-yolov5s algorithm model to achieve the rapid detection of damaged insulators, which adds Cooratt-attention module to yolov5s backbone network to strengthen the recognition ability of small damage. In the experiment, compared with the original model, Cooratt-yolov5s model has a stable improvement in mAP index and detection speed, which can accomplish the task of real-time and accurate detection of insulator damage, and has a good reference significance for power companies to improve the traditional inspection methods.
{"title":"Detection of Damaged Insulator Based on Improved Cooratt-yolov5s","authors":"Bo Zhao, Wenbo Shang, Chunliang Li, Chunhui Du, Xinrui Liu","doi":"10.1145/3569966.3570065","DOIUrl":"https://doi.org/10.1145/3569966.3570065","url":null,"abstract":"Insulators are insulating materials used in the construction of electrical transmission systems. They play vital roles in high-voltage transmission lines. The degree of insulators’ damage is related to the stability of the whole power supply line. Therefore, regular inspection of insulators along transmission lines is necessary. The traditional manual inspection is costly and inefficient. There is a great prospect of replacing manual inspection by unmanned aerial vehicles inspection. To address the problems of complex backgrounds and low damage identification in insulator images as we limited arithmetic power of UAV, this paper proposes an improved Cooratt-yolov5s algorithm model to achieve the rapid detection of damaged insulators, which adds Cooratt-attention module to yolov5s backbone network to strengthen the recognition ability of small damage. In the experiment, compared with the original model, Cooratt-yolov5s model has a stable improvement in mAP index and detection speed, which can accomplish the task of real-time and accurate detection of insulator damage, and has a good reference significance for power companies to improve the traditional inspection methods.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132191137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we explore gaps in the user experience of using circuit boards in motion-monitored smart clothing. We focus on the effects of board location on the user’s motion while wearing the smart garment by analyzing a motion capture dataset to explore the least constrained joint points in motion, as well as the user’s subjective perception. The experimental results show that user feedback tends to be consistent for the same type of motion and close to the results of the dataset analysis. All users want the board to be firmly positioned so that it does not interfere with the motion, and the board should be of appropriate size. For different types of motion, users have different requirements for the three indicators of the board, which are closely related to the specific type of motion. This provides new ideas for future research and design of smart clothing.
{"title":"Quantitative and Qualitative Expoloration of Electronic Device Position on User Experience of Smart Clothes","authors":"Ying Wang, Zexi Wang, Shihui Guo, Juncong Lin","doi":"10.1145/3569966.3570053","DOIUrl":"https://doi.org/10.1145/3569966.3570053","url":null,"abstract":"In this paper, we explore gaps in the user experience of using circuit boards in motion-monitored smart clothing. We focus on the effects of board location on the user’s motion while wearing the smart garment by analyzing a motion capture dataset to explore the least constrained joint points in motion, as well as the user’s subjective perception. The experimental results show that user feedback tends to be consistent for the same type of motion and close to the results of the dataset analysis. All users want the board to be firmly positioned so that it does not interfere with the motion, and the board should be of appropriate size. For different types of motion, users have different requirements for the three indicators of the board, which are closely related to the specific type of motion. This provides new ideas for future research and design of smart clothing.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cheng Chen, Xinpeng Wei, Wang Guo, Cheng Peng, Qingxue Li
CCS CONCEPTS • Information systems∼Information systems applications∼Decision support systems∼Expert systems Abstract: As a large agricultural country, agricultural fertilizer reduction has great carbon emission reduction potential and environmental contribution, which is of great significance to national carbon neutralization and carbon peak, ecological environment protection, comprehensive treatment of river basin water environment and so on. In the process of agricultural production, due to the marginal effect of agricultural inputs, excessive application of chemical fertilizer can not only increase production, but also cause soil hardening, environmental pollution and other problems, and directly affect the quality of agricultural products. In this paper, combined with the geographic information system of soil fertility and the knowledge map technology of soil testing and fertilizer blending, the knowledge service system of soil testing and fertilizer blending has been constructed, the knowledge map was used to organize and manage the knowledge related to soil testing and fertilizer blending, combined with the advantages of spatial location service and spatio-temporal annotation of GIS, to provide combined accurate service of soil testing data and soil testing formula knowledge to individualized guidance the farmers' scientific fertilization, and to improve the utilization rate of chemical fertilizer.
{"title":"Knowledge service technology of soil testing formula based on the integration of knowledge map and location service","authors":"Cheng Chen, Xinpeng Wei, Wang Guo, Cheng Peng, Qingxue Li","doi":"10.1145/3569966.3570118","DOIUrl":"https://doi.org/10.1145/3569966.3570118","url":null,"abstract":"CCS CONCEPTS • Information systems∼Information systems applications∼Decision support systems∼Expert systems Abstract: As a large agricultural country, agricultural fertilizer reduction has great carbon emission reduction potential and environmental contribution, which is of great significance to national carbon neutralization and carbon peak, ecological environment protection, comprehensive treatment of river basin water environment and so on. In the process of agricultural production, due to the marginal effect of agricultural inputs, excessive application of chemical fertilizer can not only increase production, but also cause soil hardening, environmental pollution and other problems, and directly affect the quality of agricultural products. In this paper, combined with the geographic information system of soil fertility and the knowledge map technology of soil testing and fertilizer blending, the knowledge service system of soil testing and fertilizer blending has been constructed, the knowledge map was used to organize and manage the knowledge related to soil testing and fertilizer blending, combined with the advantages of spatial location service and spatio-temporal annotation of GIS, to provide combined accurate service of soil testing data and soil testing formula knowledge to individualized guidance the farmers' scientific fertilization, and to improve the utilization rate of chemical fertilizer.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130819729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Accurate traffic prediction has a wide spectrum of benefits for the society. As Electric Vehicles (EV) are being used more frequently, an accurate EV Charging Station availability forecast becomes necessary. These forecasting models can help alleviate congestion at charging stations and maneuver EV drivers to an ideal location. There have been many data-driven models applied to similar problems related to traffic prediction [1]. Despite numerous efforts to ameliorate already established models and to innovate new models, the complex topological structure of the road networks and the variations of temporal data hinder the models from achieving a good prediction. As for the most classic Recurrent Neural Network (RNN) only extracts time-series information, its lack of information related to spatial dependencies cause a significant loss in long-term accuracy. The Graph Neural Network (GNN) can perform well in extracting spatial dependencies but cannot process time-series information well. Combining the Graph Convolutional Network (a variant of GNN) and the Transformer, we seek to efficiently capture both spatial and temporal data related EV Charging Station Availability. The model is tested for its performances using the Dundee City dataset. And the result reflects that our model surpassed an accuracy of 80% and attained more accurate predictions than the classic baselines.
{"title":"GCN-TRN: Efficient Transformer based Electric Vehicle Charging Demand Forecasting System","authors":"Rui Zhang","doi":"10.1145/3569966.3570101","DOIUrl":"https://doi.org/10.1145/3569966.3570101","url":null,"abstract":"Accurate traffic prediction has a wide spectrum of benefits for the society. As Electric Vehicles (EV) are being used more frequently, an accurate EV Charging Station availability forecast becomes necessary. These forecasting models can help alleviate congestion at charging stations and maneuver EV drivers to an ideal location. There have been many data-driven models applied to similar problems related to traffic prediction [1]. Despite numerous efforts to ameliorate already established models and to innovate new models, the complex topological structure of the road networks and the variations of temporal data hinder the models from achieving a good prediction. As for the most classic Recurrent Neural Network (RNN) only extracts time-series information, its lack of information related to spatial dependencies cause a significant loss in long-term accuracy. The Graph Neural Network (GNN) can perform well in extracting spatial dependencies but cannot process time-series information well. Combining the Graph Convolutional Network (a variant of GNN) and the Transformer, we seek to efficiently capture both spatial and temporal data related EV Charging Station Availability. The model is tested for its performances using the Dundee City dataset. And the result reflects that our model surpassed an accuracy of 80% and attained more accurate predictions than the classic baselines.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131014417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lei Zhang, J. Sun, N. Bardell, Yan Liu, Hanxiao Zhang, X. Dai
Airborne software is invisible, intangible, and unlike the physical structures of the aircraft, which can be inspected, measured, and thoroughly tested. Given that airborne software can significantly impact the safety of the aircraft, its abnormal behaviours may cause the aircraft to be in a catastrophic failure condition. This essay studied the trade-off between technical airworthiness and operating costs based on B737 MAX MCAS (Maneuvering Characteristics Augmentation System) failures. The key aspects of 737 Max Accidents are identified and analyzed. It could be concluded that the airborne software was not the root cause of MCAS failure, the software correctly implemented the requirements allocated from the system, however, there was design flaws in the system design architecture and safety assessment process mainly due to the pressure of competition and the pursuit of profit.
{"title":"Trade-off between Technical Airworthiness and Operating Costs Study Based on B737 MAX MCAS System Failures","authors":"Lei Zhang, J. Sun, N. Bardell, Yan Liu, Hanxiao Zhang, X. Dai","doi":"10.1145/3569966.3569975","DOIUrl":"https://doi.org/10.1145/3569966.3569975","url":null,"abstract":"Airborne software is invisible, intangible, and unlike the physical structures of the aircraft, which can be inspected, measured, and thoroughly tested. Given that airborne software can significantly impact the safety of the aircraft, its abnormal behaviours may cause the aircraft to be in a catastrophic failure condition. This essay studied the trade-off between technical airworthiness and operating costs based on B737 MAX MCAS (Maneuvering Characteristics Augmentation System) failures. The key aspects of 737 Max Accidents are identified and analyzed. It could be concluded that the airborne software was not the root cause of MCAS failure, the software correctly implemented the requirements allocated from the system, however, there was design flaws in the system design architecture and safety assessment process mainly due to the pressure of competition and the pursuit of profit.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114986816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Taking the Intercontinental Shenzhen as an example, this paper presents text analysis of hotel online reviews, including sentiment analysis based on sentiment dictionary and LDA topic analysis. The professional sentiment dictionary formed by expansion experiment improves the accuracy of sentiment analysis of online hotel reviews, which can be effectively applied to various scenarios of hotel online review sentiment analysis. Furthermore, LDA topic analysis is made for positive and negative reviews, in which perplexity index is introduced to determine the appropriate number of topics. Moreover, the output of LDA model is visualized by PyLDAvis. Through LDA topic analysis, the factors that lead to different guest reviews can be identified, which can further make recommendations for hotel operation management.
{"title":"Text Sentiment Analysis of Hotel Online Reviews","authors":"Hua Bai, Guo-xun Wang","doi":"10.1145/3569966.3571274","DOIUrl":"https://doi.org/10.1145/3569966.3571274","url":null,"abstract":"Taking the Intercontinental Shenzhen as an example, this paper presents text analysis of hotel online reviews, including sentiment analysis based on sentiment dictionary and LDA topic analysis. The professional sentiment dictionary formed by expansion experiment improves the accuracy of sentiment analysis of online hotel reviews, which can be effectively applied to various scenarios of hotel online review sentiment analysis. Furthermore, LDA topic analysis is made for positive and negative reviews, in which perplexity index is introduced to determine the appropriate number of topics. Moreover, the output of LDA model is visualized by PyLDAvis. Through LDA topic analysis, the factors that lead to different guest reviews can be identified, which can further make recommendations for hotel operation management.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115534456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Sun, Lei Chen, Fuzhi Cang, Hai-Feng Li, Fujian Pi
Airborne software is invisible but it can have a critical impact on the safety of aircraft systems. This paper studies the retroactive relationship between the certification regulations of various countries and the ICAO Convention, then analyzes the source of software-related airworthiness Clause from the Annex 8 of the ICAO Convention. Furthermore, the 1301 and 1309 clauses of Part 25 of the software certification basis and the corresponding compliance method RTCA/DO-178C are studied. The study obtains the airborne software process assurance model from the point of safety. A comparative analysis with software reliability is carried out, and finally it is concluded that the development of civil aircraft based on DO-178C focuses on system safety. The design assurance level of software is determined through the system development and safety assessment process according to SAE ARP4754A and SAE ARP4761, and software cannot be assigned a failure rate like hardware based on DO-178C practice. The methods of avoidance, identification, elimination and reduction of software design errors in DO-178C also contributing to software reliability. Given that software reliability efforts are primarily concerned with providing sufficient quantitative and qualitative evidence, it can enhance the software quality, however, software reliability analysis are not useful for providing confidence to regulators in civil aircraft developing program.
{"title":"Civil Aircraft Airborne Software Safety and Reliability Study Based on RTCA/DO-178C","authors":"J. Sun, Lei Chen, Fuzhi Cang, Hai-Feng Li, Fujian Pi","doi":"10.1145/3569966.3569974","DOIUrl":"https://doi.org/10.1145/3569966.3569974","url":null,"abstract":"Airborne software is invisible but it can have a critical impact on the safety of aircraft systems. This paper studies the retroactive relationship between the certification regulations of various countries and the ICAO Convention, then analyzes the source of software-related airworthiness Clause from the Annex 8 of the ICAO Convention. Furthermore, the 1301 and 1309 clauses of Part 25 of the software certification basis and the corresponding compliance method RTCA/DO-178C are studied. The study obtains the airborne software process assurance model from the point of safety. A comparative analysis with software reliability is carried out, and finally it is concluded that the development of civil aircraft based on DO-178C focuses on system safety. The design assurance level of software is determined through the system development and safety assessment process according to SAE ARP4754A and SAE ARP4761, and software cannot be assigned a failure rate like hardware based on DO-178C practice. The methods of avoidance, identification, elimination and reduction of software design errors in DO-178C also contributing to software reliability. Given that software reliability efforts are primarily concerned with providing sufficient quantitative and qualitative evidence, it can enhance the software quality, however, software reliability analysis are not useful for providing confidence to regulators in civil aircraft developing program.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123413703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shao-Luo Huang, Shengyi Qin, Xiaoxiao Jiang, Yi Cao
Customer segmentation is an important approach for customer relationship management, in which many methods are achieved by the Recency, Frequency and Monetary model(RFM) and clustering techniques. However, most methods based on the Recency, Frequency and Monetary model do not consider customer loyalty. In addition, these methods need to use all the historical data when updating the clustering, which has high data storage requirements. In this paper, a clustering method with a time window is proposed to solve these problems. The proposed method is divided into a feature selection stage and a clustering stage. In the feature selection stage, an important factor is considered in an improved Recency, Frequency and Monetary model, called the Length, Recency, Frequency and Monetary model(LRFM). In the clustering stage, a sliding time window is added to intercept the most recent data before the clustering. The proposed method differs from many other methods in that the model takes into consideration a new feature Length to identify customers more accurately, and uses the sliding time window to reduce data storage requirements. Based on the proposed method, the travel customer value analysis is explored on real customer anonymous transaction data. The experimental results show that the proposed method can classify travel customers into different groups effectively. The proposed method has a better clustering performance compared to other baseline algorithms.
{"title":"A travel customer segmentation method based on improved RFM and k-means++","authors":"Shao-Luo Huang, Shengyi Qin, Xiaoxiao Jiang, Yi Cao","doi":"10.1145/3569966.3570085","DOIUrl":"https://doi.org/10.1145/3569966.3570085","url":null,"abstract":"Customer segmentation is an important approach for customer relationship management, in which many methods are achieved by the Recency, Frequency and Monetary model(RFM) and clustering techniques. However, most methods based on the Recency, Frequency and Monetary model do not consider customer loyalty. In addition, these methods need to use all the historical data when updating the clustering, which has high data storage requirements. In this paper, a clustering method with a time window is proposed to solve these problems. The proposed method is divided into a feature selection stage and a clustering stage. In the feature selection stage, an important factor is considered in an improved Recency, Frequency and Monetary model, called the Length, Recency, Frequency and Monetary model(LRFM). In the clustering stage, a sliding time window is added to intercept the most recent data before the clustering. The proposed method differs from many other methods in that the model takes into consideration a new feature Length to identify customers more accurately, and uses the sliding time window to reduce data storage requirements. Based on the proposed method, the travel customer value analysis is explored on real customer anonymous transaction data. The experimental results show that the proposed method can classify travel customers into different groups effectively. The proposed method has a better clustering performance compared to other baseline algorithms.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124933706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High dynamic range Stereoscopic Omnidirectional Images (HSOI) can provide users with an immersive experience closer to the real world. Compared with the existing omnidirectional images, HSOIs usually have more complex perceptual factors due to the particularities of imaging, coding and visualization, making HSOIs quality assessment more challenging. Up to now, there is no research on subjective quality assessment of HSOIs. To solve this problem, this paper establishes the first subjective HSOI quality Database (denoted as HSOID), in which a set of the distorted HSOIs with encoding distortion and visualization distortion is generated, and these distorted HSOIs are subjectively scored based on the criteria for subjective evaluation. In the HSOID, the representative HSOIs of different natural scenes (indoor, outdoor, day, night, etc.) are created as the original HSOIs, then, they are encoded with the JPEG XT standard into symmetric or asymmetric distorted HOSIs, respectively. For the visualization on the head mounted display with standard dynamic range, the encoded HSOIs undergo five tone mapping operations, respectively, which may result in different degrees of tone mapping distortion. Thus, a set the distorted HSOIs is generated, and they are subjective-scored so that the HSOID with subjective evaluation is established. Finally, by analyzing the subjective quality of different distorted images, the visual perceptual characteristics of HSOI are explored. At the same time, the HSOID is also tested with some representative objective quality metrics of visual contents. The results show that the design of the HSOID is reasonable. The database can be used to benchmark objective quality evaluation methods of the distorted HSOIs.
{"title":"HSOID: Subjective Quality Evaluation on HDR Stereoscopic Omnidirectional Images","authors":"Yong Cao, Yang Song, Jihao You, G. Jiang","doi":"10.1145/3569966.3570051","DOIUrl":"https://doi.org/10.1145/3569966.3570051","url":null,"abstract":"High dynamic range Stereoscopic Omnidirectional Images (HSOI) can provide users with an immersive experience closer to the real world. Compared with the existing omnidirectional images, HSOIs usually have more complex perceptual factors due to the particularities of imaging, coding and visualization, making HSOIs quality assessment more challenging. Up to now, there is no research on subjective quality assessment of HSOIs. To solve this problem, this paper establishes the first subjective HSOI quality Database (denoted as HSOID), in which a set of the distorted HSOIs with encoding distortion and visualization distortion is generated, and these distorted HSOIs are subjectively scored based on the criteria for subjective evaluation. In the HSOID, the representative HSOIs of different natural scenes (indoor, outdoor, day, night, etc.) are created as the original HSOIs, then, they are encoded with the JPEG XT standard into symmetric or asymmetric distorted HOSIs, respectively. For the visualization on the head mounted display with standard dynamic range, the encoded HSOIs undergo five tone mapping operations, respectively, which may result in different degrees of tone mapping distortion. Thus, a set the distorted HSOIs is generated, and they are subjective-scored so that the HSOID with subjective evaluation is established. Finally, by analyzing the subjective quality of different distorted images, the visual perceptual characteristics of HSOI are explored. At the same time, the HSOID is also tested with some representative objective quality metrics of visual contents. The results show that the design of the HSOID is reasonable. The database can be used to benchmark objective quality evaluation methods of the distorted HSOIs.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124654356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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