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检索条件"机构=Key Laboratory of Acoustic Visual Technology and Intelligent Control System"

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Implementation of Music Playing WEB Site with Asychronous Visit Mode Based on Set-top Box

Implementation of Music Playing WEB Site with Asychronous Vi...

引用

2016联合国际信息技术、机械与电子工程国际会议

作者： Xie Weihua Wang Yongbing Information Engineering School Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing Key Laboratory of Modern Entertainment Technology

ISBN: (纸本)9781510830028

Network music is an important form that people listen to music now, in PC desktop system, browser with HTML5 and the multimedia plugin can imply very good online selection ways and listen to the program with beautify pages, but in the set-top box system, it is extremely different. In this paper, we use a network set-top box with embedded browser system to realize an asynchronous access mode of music website design, the system uses the JSE to achieve music file playback controls, at the same time, the online transcoding system, on the server side for transcoding to improve on the different types of music file playback compatibility, and with an asynchronous access pattern method, time-consuming part is transferred into the background, and the browser Ajax method for interactive prompting. The experimental results show that the system has better interactive performance with respect to the normal music website which is usually synchronized visit ways, and improve the user's listening and viewing experience.

关键词： set-top box music play asychronous visit mode online transcode web site

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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

2023 International Conference on Culture-Oriented Science and technology, CoST 2023

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

ISBN: (纸本)9798350357998

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. © 2023 IEEE.

关键词： Analytic hierarchy process

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Stage actor positioning method based on realsense point cloud

Stage actor positioning method based on realsense point clou...

引用

2019 International Joint Conference on Information, Media, and Engineering, IJCIME 2019

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

ISBN: (纸本)9781728155869

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. © 2019 IEEE.

关键词： Computer vision

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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...

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2023 International Conference on Culture-Oriented Science and technology, CoST 2023

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

ISBN: (纸本)9798350357998

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. © 2023 IEEE.

关键词： Risk analysis

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Research on Emotion Classification of Film and Television Scene Images Based on Different Salient Region

Research on Emotion Classification of Film and Television Sc...

引用

2020 International Conference on Culture-Oriented Science and technology, ICCST 2020

作者： Su, Zhi-Bin Liu, Bing Zhang, Li-Jing Ren, Hui Communication University of China School of Information and Communication Engineering China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (纸本)9781728181387

With the rapid development of intelligent image processing and computer vision, interpreting and extracting emotion information from images have become a hot research topic, especially the studies on film and television scene images with rich expressions and certain feelings from the aspect of audience. To investigate the distribution of emotions and its affect on the result of machine learning, this paper established the emotion classification models with different salient and non-salient regions based on self-built dataset from film and television works. Three salient extraction algorithms were used to the regional segmentation, and the color and texture features of each region were extracted. Emotion classification models were established based on SVM and RF algorithms respectively. Since features of the salient region could not cover all the information of the original image, the prediction accuracy of the unprocessed image was the highest. Nevertheless, when models made an error in the emotion prediction of the original image, the experimental results of salient region could get the correct answer under the certain circumstances. Through the analysis, the areas of interest can be used for emotion prediction to reduce the redundancy;however, to make it more accurate, the appropriate salient region extraction algorithm should be selected for different types of images and features. Our study provides data and theoretical guidance for image understanding and retrieval, and it has practical significance for more detailed classification based on the affective sensation. © 2020 IEEE.

关键词： Support vector machines

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Study on the classification of beatbox sounds based on timbre features

Study on the classification of beatbox sounds based on timbr...

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2020 International Conference on Culture-Oriented Science and technology, ICCST 2020

作者： Zhu, Jiaxing Wang, Junping Liu, Jingyu Zhang, Xiaoyi Conservatory of Music Musicology Department China China Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of China China

ISBN: (纸本)9781728181387

Beatbox is a performance form of vocal percussion, which is gradually favored by people with continuous development in recent years. With the abundance of Beatbox content on the Internet, the research on its automatic classification becomes very significant. In this article, we mainly using machine learning methods, to identify the beatbox timbre. First of all, we collected 900 Beatbox audio materials and constructed a database. Secondly, 14 acoustic parameters of audio material are extracted by the signal processing method. Finally, we used MultilayerPerceptron, SMO, BayesNet, RandomForest in current machine learning to build a training model for BB timbre classification. The Experimental results showed that the model could classify BB timbre well. © 2020 IEEE.

关键词： Machine learning

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The Algorithm of Sequential Music Recommendation Based on BERT

The Algorithm of Sequential Music Recommendation Based on BE...

引用

2023 International Conference on Culture-Oriented Science and technology, CoST 2023

作者： Li, Zhen Li, Kaiyue Yang, Qingqing Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System China Communication University of China Beijing Key Laboratory of Modern Entertainment Technology China Communication University of China Beijing China

ISBN: (纸本)9798350357998

Music recommendation algorithms aim to predict the songs that users might be interested in based on various factors, such as their listening history. The best existing method is Bert_Music, a sequential music recommendation model based on Bidirectional Encoder Representation from Transformer (BERT). This model leverages user sequence context information to improve recommendation performance. However, Bert_Music only considers the sequence information of songs and ignores their content characteristics. To address this limitation, we propose an improved version of Bert_Music, which is a sequential music recommendation model based on Bidirectional Encoder Representation from Transformer with tag information (BERT_MUSIC_T), uses song ID (Identity) and tag information to make more accurate recommendations. We compared the performance of Bert_Music_T with that of the Bert_Music model on the *** dataset and found that the Precision has increased by up to 2.85%. These results prove the validity of our method. © 2023 IEEE.

关键词： Recommender systems

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Simulation of stage dry ice effect based on UE4 6

Simulation of stage dry ice effect based on UE4

引用

6th International Symposium on Computer and Information Processing technology, ISCIPT 2021

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

ISBN: (纸本)9781665441377

In view of the problem that the dry ice effect simulation on the stage simulation is less, a dry ice effect simulation system including the realistic rendering module of dry ice effect and the interaction module between actors and the dry ice is proposed. For visual effect of dry ice, this paper uses a method to simulate volume fog in real time by adding visual optimization of multiple noise mixtures. Firstly, in order to solve the problem that the modeling effect of single noise fog is not natural, the Perlin noise and Worley noise are used to model the fog together to enhance the detail and flip effect of fog. Secondly, using the offset shadow algorithm to simulate the self-shadow effect, combining pixel jitter and Temporal oversampling, the soft effect of fog is increased, and the distance field shadow is added to reflect the occlusion. For dry ice interaction module, this paper uses symbol distance field to detect the collision between dry ice and actors to realize the dynamic interaction between actors and dry ice. The results show that this method can simulate the dry ice effect of stage and has the function of real-time interaction. © 2021 IEEE.

关键词： Ice

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Music emotion prediction based on multidimensional feature fusion 3

Music emotion prediction based on multidimensional feature f...

引用

3rd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2023

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

ISBN: (纸本)9781665490788

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. © 2023 IEEE.

关键词： Forecasting

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A Prediction Method for Dimensional Sentiment Analysis of the Movie and TV Drama based on Variable-length Sequence Input

A Prediction Method for Dimensional Sentiment Analysis of th...

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2022 International Conference on Culture-Oriented Science and technology, CoST 2022

作者： Wang, Chunxiao Zhang, Jingiing Gan, Lihong Jiang, Wei Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of China Beijing China Zhejiang Dafeng sports equipment Co.Ltd Zhejiang China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

Time continuous emotion prediction problem has always been one of the difficulties in affective video content analysis. The current research mainly designs a temporally continuous long video emotion prediction method by dividing the long video into short video segments of fixed duration. These methods ignore the time dependencies between short video clips and the mood changes in short video clips. Therefore, combined with the related concepts of film and television narrative structure in cinematic language, this paper defines a prediction method for dimensional sentiment analysis of the movie and TV drama based on variable sequence length inputs. First, this paper defines a method for partitioning variable-length audiovisual sequences that set subunits of dimensional emotion prediction as variable sequence-length inputs. Then, a method for extracting and combining audio and visual features of each variable-length audiovisual sequence is proposed. Finally, a prediction network for dimensional emotion is designed based on variable sequence length inputs. This paper focuses on dimensional sentiment prediction and evaluates the proposed method on the extended COGNIMUSE dataset. The method achieves comparable performance to other methods while increasing the prediction speed, with the Mean Square Error (MSE) reduced from 0.13 to 0.11 for arousal and from 0.19 to 0.13 for valence. © 2022 IEEE.

关键词： Sentiment analysis

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