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Deep neural network (DNN) has gone through more than forty years from the simulation stage to the embryonic stage, to the conception and the initial formation of the theory, until further simple applications. Firstly, deep convolution neural network is used to extract features, and then the extracted features are coded by Gaussian aggregation. Fina...
Citations
... The author [10] suggested a 3D face modelling technique that reconstructs faces using convolutional neural networks and uses the Gabor features for feature point matching as well as LBF method for automatically detecting face features. Work [11] used computer vision and machine learning tools to analyse vast amounts of animated movie data, examining the visual expressions and patterns in the films. The author of [12] developed concept as well as techniques of animation design, examined the traits and evolution of digital media, established architecture of the animation system for digital media. ...
... Equation (10)'s primary goal is to gradually approach real data by decreasing generated value in the generator. Equation (11) thus displays the GAN training objective function. ...
One of the artistic mediums of film and television is works of art. They represent a company's and a nation's cultural legacy in the modern period. They have long been the spirits that guide civilization towards affluence and advancement. The advancement of computer technology has led to extraordinary advancements in cinema and television technology, particularly in the field of special effects. When compared to more established real-world film and television technologies, virtual reality (VR) technology offers filmmakers and producers more creative freedom. This research propose novel technique in computer aided system in VR technology in film and television animation scene modelling based on artificial intelligence (AI). Here the virtual reality in film and animation scene has been constructed using machine learning. The 3D graphic design in animation scene modelling is carried out using convolutional generative fuzzy encoder face deformable model. Experimental analysis is carried out based on various animation scene construction dataset in terms of accuracy, precision, RMSE, robustness, F-1 score. This article designs a colour rendering system for 3D animation that is primarily separated into several modules based on various functionalities.
... e shortcomings are that the model uses fully connected layers, which makes the image pixels compressed, resulting in blurred background and loss of some details, and the model is too large and not easy to train and deploy [17]. e latest deep learning-based methods are initially for oil painting art style migration tasks, do not capture the texture and color characteristics unique to cartoon images well, and are not satisfactory for cartoon rendering directly; the main drawback of such methods is that the generated results contain many artificial traces (Artifacts) [18]. ese methods cannot make a good trade-off between global image style conversion and local image semantic content details maintenance, so the semantic details in the image are often lost. ...
We conduct an in-depth study on the model construction of deep neural networks and design a model of painter’s psychology and anime creation style to realize the study of the relationship between painter’s psychology and anime creation style based on deep neural networks. This paper proposes an animation creation psychology classification algorithm that integrates human cognitive deep network structure optimization. The algorithm analyzes the connection between different convolutional layer features and animation characteristics through animation creation style CNN feature visualization. It interactively uses the knowledge of animation creation psychology expression techniques to optimize the network structure. This paper proposes a scene animation network based on spectral difference perception style. By analyzing the characteristics and differences in the spectrum between realistic and anime domain images, the generator is guided to learn the mapping relationships better to fit the style distribution of anime domain images. This paper uses a fully convolutional structure; the network is more lightweight and supports image inputs of arbitrary size, which can keep the semantic system of the background unchanged while highly deforming the five facial features, moving toward the goal of human-scene fusion for the animation task.
... Sub-study 2 selected the Japanese anime Your Name as the research background to verify the mediating role of empathy in motivation transfer from film watching to traveling. In recent years, the concept, technology, and content of visual culture have developed rapidly, and animation films can especially provide individuals with a visual feast (Xu et al., 2022). A growing number of animation filmmakers are inserting reality into their works, incorporating specific local scenery into the background of the story, and more animation fans travel to the popular locations appearing in the animation works. ...
With the advent of the information age and advancement of digital technology, film and television tourism is developing rapidly under the joint action of the film industry and tourism industry, and has become a crucial form of cultural and entertainment consumption for individuals to pursue a better life in the new age. This study designs three experiments from the perspectives of identity conversion, motivation transfer, and demand change to conduct an empirical study on the mediating role of empathy for further exploring the internal mechanism of film-induced tourism in film and television tourism. The findings suggest that the three mediation hypotheses are all valid, indicating that film-induced tourism involves identity conversion from audiences to visitors, motivation transfer from watching to traveling, and demand change from interest to expectation through emotional media.
... operation of the embedded machine vision system on the video processing in the pipeline. Zhu et al. [17] focus on the two-dimensional facial expression animation technology under DNN. Ruan et al. [18] propose an innovative method to improve the attribute weighting approaches for naïve Bayes text classifiers using the improved distance correlation coefficient. ...
