At present Auto-Tracking technology attracted increasing attention in the field of stage lighting. Most of the existing automatic lighting tracing methods adopt indoor positioning technology to acquire the location pa...
ISBN:
(数字)9781728160573
ISBN:
(纸本)9781728160580
At present Auto-Tracking technology attracted increasing attention in the field of stage lighting. Most of the existing automatic lighting tracing methods adopt indoor positioning technology to acquire the location parameters of the tracing object. Then the location parameters were converted into the control data of moving light for automatic tracing. The main problems are as follows: one is the positional errors of special light position such as front light and fixed-point light. The other is the miss tracking of moving targets. In this paper, according to the projection requirements of front light and fixed-point light, the existing tracing model is improved. The error between the spot and the actual position is analyzed. Test results show that the accuracy of the upper left and upper right directions is relatively high. The bigger the curvature amplitude is, the bigger the error is. At the same time, the test data provide theory evidence for the setting of the tracing light position and the design of the performance route.
The purpose of the research on emotion classification of film and television (TV) scene images is to hope that the computer can simulate the audience's emotional perception to judge positive or negative emotional ...
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ISBN:
(数字)9781728155869
ISBN:
(纸本)9781728155876
The purpose of the research on emotion classification of film and television (TV) scene images is to hope that the computer can simulate the audience's emotional perception to judge positive or negative emotional trends of the image. In this paper, from the perspective of emotional semantics, a method of the emotion classification about the film and TV scene image is proposed. Firstly, the film and TV scene image dataset were established and assessed based on the subjective evaluation experiment. Then the theory of psychology and photographic art was used to extract image emotional features. Finally, particle swarm optimization (PSO)-support vector machine (SVM) algorithm based on feature importance dimension reduction was used for building the classifier. The experimental results show that the image dataset initially established in this paper can be helpful to the subsequent study on emotion classification of the film and TV scene image, and the accuracy of the positive and negative emotion classifier on this dataset is 0.87, which conforms to audience's emotional perception of the film and TV scene image.
visual comfort is one of the important indexes to evaluate the image quality and viewing experience in the process of viewing stereoscopic video and images. This paper mainly investigated the effect of the main part s...
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ISBN:
(纸本)9781510812055
visual comfort is one of the important indexes to evaluate the image quality and viewing experience in the process of viewing stereoscopic video and images. This paper mainly investigated the effect of the main part size and disparity distribution type of stereoscopic images on visual comfort through two subjective evaluation experiments. The experiment results confirmed that the main part size and disparity space distribution type are two important factors which can affect visual comfort, and they also proved the influence trend of these factors on visual comfort in different disparity conditions. Our experiments have important guiding significance for the establishment and improvement of the relevant objective evaluation experimental model and acquisition and display technology of stereoscopic images.
Analyzing the timbre characteristics of different singing genres is an important issue in the field of singing acoustics. Formants are an important characteristic parameter for timbre perception, but classical acousti...
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ISBN:
(数字)9798350380347
ISBN:
(纸本)9798350380354
Analyzing the timbre characteristics of different singing genres is an important issue in the field of singing acoustics. Formants are an important characteristic parameter for timbre perception, but classical acoustic formant extraction methods lack accuracy and applicability in the analysis of singing genres. In order to solve the problem of insufficient accuracy and applicability of singing formants in singing genre analysis, this paper proposes a singing formant extraction method based on peak fitting. The paper summarizes the theory and methods of extracting vocal formants and based on a large amount of experimental data analysis, proposes a vocal formant feature extraction method based on peak fitting; The effectiveness of the singing formant extraction method based on peak fitting was verified through comparative experiments with existing formant algorithms. This article provides new research ideas and methods for extracting acoustic features in singing.
Some exiting works have explored the promotion between depth estimation and semantic segmentation. These works are usually based on convolutional neural networks, which extract compact features and map the relationshi...
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ISBN:
(数字)9781728181387
ISBN:
(纸本)9781728181394
Some exiting works have explored the promotion between depth estimation and semantic segmentation. These works are usually based on convolutional neural networks, which extract compact features and map the relationship between input and output according to specific tasks. In this paper, we introduce a novel adversarial training strategy, that is, generator produces the semantic segmentation map and depth map, and then the discriminator can judge the authenticity of the synthesized color image, thereby supervising the output of the network during back propagation. We use the adversarial loss combined with the reconstruction loss function to supervise the model, and find that the adversarial loss function which is seen as a global supervision can further optimize the output. We use 200 color images from Kitti dataset with semantic segmentation ground truth as the training set, and train the network in an end-to-end manner. The experimental results show that the adversarial training method is well applied to the multi-task training combining semantic segmentation and depth estimation, and can further improve the quantitative performance of depth estimation.
Murals are an important part of China’s cultural heritage. Because of their age, Dunhuang murals have suffered from discoloration, fading and damage. With the development of computer image restoration technology, dig...
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ISBN:
(数字)9798350380347
ISBN:
(纸本)9798350380354
Murals are an important part of China’s cultural heritage. Because of their age, Dunhuang murals have suffered from discoloration, fading and damage. With the development of computer image restoration technology, digital image processing provides strong support for mural restoration. Although there are many research results in the field of ancient mural images, there is no pre-trained model based on ancient mural images available for migration. There is a method for Dunhuang murals image restoration based on Generative Adversarial Network (GAN) with improved ResNet50 structure as an encoder in the generator. This research result proposes a generative adversarial network model with a parallel double convolutional extraction of deep features for the generator, combined with a ternary heterogeneous joint discriminator. On this basis, this paper proposes a binary classification task to distinguish ancient mural images from modern natural style images, so that the model pre-learns features such as color, texture, and structure of mural images, which are inputted into the restoration network as a priori information, in order to achieve the effect of reducing the probability of incomplete restoration of the model, and better generalization ability. The experimental results show that the method proposed in this paper has an overall improvement in the evaluation indexes such as Peak Signal to Noise Ratio(PSNR) and Structural Similarities(SSIM) when compared with other methods, and the restored images are more in line with human subjective vision, which proves the validity of the method.
To protect the acoustical environment of auditorium in performing place, this paper mainly focusses on the emission noise measurement method of stage machinery. For the high noise and frequently-used equipment during ...
To protect the acoustical environment of auditorium in performing place, this paper mainly focusses on the emission noise measurement method of stage machinery. For the high noise and frequently-used equipment during the performance, the measurement equipment, environment and condition, detection position, evaluation parameter, tested object and the running requirement are all studied and discussed. In particular, the suitable test point and load demand is analyzed through the simulation of EASE software and the noise measurement under laboratory environment. Our research aims to provide the basic work for developing the draft standard for stage machinery noise, which has certain application value to improve the audio-visual effects and control the noise pollution for modern theatre.
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