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Research on Safety Integrity Level Assessment for Stage Machinery of Temporary Performance Site

Research on Safety Integrity Level Assessment for Stage Mach...

引用

Culture-Oriented Science and technology (CoST), International Conference on

作者： Yubin Hu Zhibin Su Zixiao Wang Huiqin Wang School of Information and Communication Engineering Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

The safety assessment of stage performing arts equipment for the temporary site is an urgent task to be solved. In this paper, the lifting equipment is chosen for risk analysis, safety circuit identification and safety integrity level (SIL) calculation. The Hazard and Operability Study(HAZOP) and Layer Of Protection Analysis(LOPA)-based method is studied to get the expected SIL level of the related safety loops. In addition, the fault tree and Markov model methods are used to verify the actual SIL level under the existing loop structure respectively. This study provides the theory and data basis for the development of safety requirements and evaluation standards for the temporary theater of stage machinery, which has certain theoretical significance and application value.

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The Perception Effect of Color S3D Images for Multiple Display Modes

The Perception Effect of Color S3D Images for Multiple Displ...

引用

Artificial Intelligence and Information systems (ICAIIS), 2020 IEEE International Conference on

作者： Zhibin Su Yuan Wang Bing Liu Yunfang Zhang Dongrui Li School of Information and Engineering Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (数字)9781728165905

ISBN: (纸本)9781728165912

Nowadays, visual comfort and stereo viewing experience are both important indicators for the assessment of Stereoscopic 3D (S3D) image. This paper mainly uses subjective evaluation method to study the perception experience for multiple display devices under varied modes and sizes: time-division 3D screen and 3D projector. A computer-generated object is set as the 3D target, with different parallax magnitude and color. The evaluating indicators include visual comfort, space perception and volume perception. The experimental results proved that in different display modes, the parallax magnitude and color have different effects on the perceived effect. Overall, the time-division screen showed better display performance than the projection. This data and analysis will provide foundational research for the related study of objective assessment of S3D images, and is helpful for the further development of display technology.

关键词： Three-dimensional displays visualization Image color analysis Color Stereo image processing Standards Fitting

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Research on Risk Analysis for Lighting and Sound Equipment of Temporarily Constructed Stage

Research on Risk Analysis for Lighting and Sound Equipment o...

引用

Culture-Oriented Science and technology (CoST), International Conference on

作者： Xueying Zhang Zhibin Su Huiqin Wang Yujian Jiang School of Information and Communication Engineering Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

With the increasing demand for stage performance activities, the quality and safety of performance equipment, especially for the temporarily constructed stage, have become important topics that cannot be ignored. In order to enhance the safety of performance equipment and improve the service quality, this article mainly conducts risk analysis and safety assessment on the lighting and sound equipment for stage of temporary perform site without protective measures, and uses Analytic Hierarchy Process (AHP) with Fuzzy Comprehensive Evaluation (FCE) to conduct risk analysis and evaluation. The calculated risk level of stage lighting and sound equipment is given, and relevant safety measures are proposed to reduce the potential risks.

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A visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor

A Visual Comfort Assessment Approach of Stereoscopic Images ...

引用

IEEE Information technology, Networking, Electronic and Automation control Conference

作者： Zhibin Su Dongrui Li Bing Liu Weiwei Li Hui Ren Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism CITVC KEHUA CO. LTD. Technology Service Branch Beijing China

ISBN: (数字)9781728143903

ISBN: (纸本)9781728143910

visual comfort is an important component for stereoscopic image quality and viewing experience. In recent years, it has been widely investigated through feature analysis and different kinds of subjective experiments. In this paper, according to the existing works for objective evaluation model, we have screened and extracted thirteen disparity-based and content-based features through the stereoscopic image. To find the relationship between these features and the given mean opinion score(MOS) of each image, the method of Random Forest (RF) Regressor was used for simulation on the NBU S3D-VCA and IVY database. Compared with other state-of-the-art methods, the experimental results of two benchmarks data have confirmed the superior performance of our proposed approach.

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Monocular Depth Estimation with Traditional Stereo Matching Information

Monocular Depth Estimation with Traditional Stereo Matching ...

引用

International Conference on systems and Informatics (ICSAI)

作者： Hui Ren Nan Gao Jia Li Ministry of Culture and Tourism Beijing Key Laboratory of Modern Entertainment Technology School of Information and Telecommunication Engineering Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China

ISBN: (数字)9781728152561

ISBN: (纸本)9781728152578

Monocular depth estimation is to perform pixel-level depth estimation on single perspective image, and the methods based on deep learning have shown superior effect for the challenging task. However, the supervised depth estimation methods need costly ground truth labels, which require professional equipment. To solve this problem, we study the unsupervised monocular depth estimation algorithm combining traditional stereo knowledge. We use the unsupervised network based on the reconstruction method as the baseline, which can be trained without direct supervision from ground truth depths leveraging image synthesis on sequences or multi-views images, so that it can improve the accuracy of prediction results without applying any annotations such as LIDAR depth in KITTI. Experiments results on the publicly database KITTI (Eigen split) have shown the promising effectiveness of the proposed method, and compared with state of the art unsupervised algorithms, it has achieved competitive performance in objective evaluation indicators.

关键词： Estimation Image reconstruction Training Task analysis Prediction algorithms Databases visualization

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Analysis and Modeling of Timbre Perception Features of Chinese Musical Instruments

Analysis and Modeling of Timbre Perception Features of Chine...

引用

International Conference on Computer and Information Science (ACIS)

作者： Wei Jiang Jingyu Liu Zijin Li Jiaxing Zhu Xiaoyi Zhang Shuang Wang Key Laboratory of Acoustic Visual Technology and Intelligent Control System (Communication University of China) Ministry of Culture and Tourism Musicology Department China Conservatory of Music Beijing China

This paper studies the analysis and modeling of timbre perception features of musical sound. Firstly, a timbre material library containing 74 samples was constructed, and an objective acoustic parameter set containing 76 parameters was constructed. Then, for each timbre evaluation term, method of successive categories is used for subjective evaluation experiment, and the experimental data of timbre perception features are obtained. Finally, the mathematical model of timbre perception is established by support vector regression. The experimental results show that the model has good prediction ability for four timbre perception features.

关键词： Timbre Predictive models Harmonic analysis Analytical models Support vector machines

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Stage Actor Positioning Method Based on RealSense Point Cloud

Stage Actor Positioning Method Based on RealSense Point Clou...

引用

Information, Media and Engineering (IJCIM), International Joint Conference on

作者： Chaohui Lv Lexuan Yang Min Li Jun Yin School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (数字)9781728155869

ISBN: (纸本)9781728155876

A novel and convenient method for human positioning based on computer vision is proposed. The new camera Realsense D435 from Intel is used to provide richer and more effective visual information. The positioning problem can be simplified to the conversion problem between point cloud and space coordinate system. Experimental results indicated that only several test points were needed to establish the conversion relationship between the two coordinate systems, thereby obtaining the position of the person. The accuracy meets the demand of the stage performance.

关键词： Three-dimensional displays Cameras Mathematical model visualization Calibration Real-time systems

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Vehicle Object Detection Based on RGB-Camera and Radar Sensor Fusion

Vehicle Object Detection Based on RGB-Camera and Radar Senso...

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Information, Media and Engineering (IJCIM), International Joint Conference on

作者： ZhongTong Li Ming Yan Wei Jiang Pin Xu School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (数字)9781728155869

ISBN: (纸本)9781728155876

Object detection has always played a major role in the field of computer vision. With the development of faster region-based convolutional neural network (faster-RCNN), single shot multi-box detector (SSD), You Only Look Once (Yolo) and other deep learning networks, 2D object detection has been developed well developed. However, in some key areas, such as driverless vehicles and artificial intelligence robots, cannot meet the requirements of tasks just by detecting two dimensional (2D) objects. So we need to get the three dimensional (3D) position of the object. In 3D object detection, it is difficult to obtain object position information only by red-green-blue (RGB) image. There are some methods to get the 3D position of the target through the point cloud data set. Therefore, this paper proposes a deep learning network, which can combine both color image information and point cloud geometry information, while using MobileNet V3 as the backbone network greatly enhances the operation speed. The region proposal networks (RPN) layer in faster-RCNN is migrated to the network. After testing, the method proposed by us improves obviously in speed and recognition accuracy compared with the previous methods.

关键词： Three-dimensional displays Two dimensional displays Feature extraction Cameras Radar Convolution Object detection

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Point Cloud Denoising Algorithm Based on Noise Classification

Point Cloud Denoising Algorithm Based on Noise Classificatio...

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Culture-oriented Science & technology (ICCST), International Conference on

作者： Chaohui Lv Min Li School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (数字)9781728181387

ISBN: (纸本)9781728181394

Aiming at the problem of different kinds of noise in 3D point cloud data, we propose a point cloud denoising method based on noise classification. This algorithm first divides noise in point cloud data into inner points and outer points, and uses radius filtering and statistical filtering to remove the outer points. Then, normal and curvature information of point cloud are estimated by the principal component analysis. At the same time, curvature information is introduced into the bilateral filtering factor to improve the existing algorithm. Ultimately, we smooth inner points mixed in point cloud by utilizing the modified algorithm. Comparing the improved algorithm with the bilateral filtering algorithm on the bunny, horse and dragon model, experimental results indicate that the maximum error and the average error are reduced. The algorithm in this paper makes models' features maintained better while models are smoothed.

关键词： Three-dimensional displays Filtering Filtering algorithms Classification algorithms Solid modeling Noise reduction Smoothing methods

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Music emotion prediction based on multidimensional feature fusion

Music emotion prediction based on multidimensional feature f...

引用

Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Xuanye Zhou Zhibin Su Hui Ren School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

Audience sentiment analysis is a popular research task in Music Information Retrieval (MIR). In this work, we aim to lean the prediction model of fine-grained music emotion for intelligent editing and retrieval. To satisfy the properties of time-series of music, the RNN-based model of BILSTM was selected as the bone. In particular, the traditional features and deep features extracted from the CNN architecture of spectrogram was fused with attention mechanism to enhance the recognition ability for different emotions. The ablation experiment has proved the necessary of the multi-dimensional features. Finally, the contrasting experiments on recent algorithms demonstrate that our proposed method for emotion prediction is effective, which is also suitable for small data sets.

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