Abstract

The depth synthesis of image texture is neglected in the current image visual communication technology, which leads to the poor visual effect. Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos through 3D visual communication content production, server processing, and client processing. Through stitching, projection mapping, and animation video image frame texture synthesis, 3D vision conveys animation video image projection. In order to ensure the continuous variation of scaling factors between adjacent triangles of animation and video images, the scaling factor field is constructed. Deep learning is used to extract the deep features and to reconstruct the multiframe animated and animated video images based on visual communication. Based on this, the frame feature of video image under gray projection is identified and extracted, and the animation design based on 3D visual communication technology is completed. Experimental results show that the proposed method can enhance the visual transmission of animation video images significantly and can achieve high-precision reconstruction of video images in a short time.

Highlights

  • Reference [3] proposes an innovative design of visual communication system for animated figures and images in virtual reality environment

  • Ant colony algorithm is used to solve it, get the optimal solution, and obtain the best display position of graphics in visual communication design. e description of graphic language is realized by rule-based syntax description and ASM semantic description. e parallel process and selection process of graphic language in visual communication design are described by using parallel and selection marks, and the parallel process and selection process are used to realize the automatic arrangement of graphic language. e proposed algorithm is programmed and run in C language to achieve the purpose of automatic arrangement of graphic language

  • When the above image visual communication technologies ignore the depth synthesis of image texture, the image visual effect is not ideal. erefore, a film and television animation design method based on 3D visual communication technology is proposed

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Summary

Introduction

Reference [3] proposes an innovative design of visual communication system for animated figures and images in virtual reality environment. Erefore, a film and television animation design method based on 3D visual communication technology is proposed. Build the video processing process under 3D visual communication technology, and mainly process film and television animated video through 3D video content production, and server and client links; based on the visual distance between 2D image and scene, calculate the zoom factor of 3dimensional scene transformation; build a deep learningbased deep feature extraction model PCANet, filter images and extract features of film and television animation video images, use PCAN deep network to create a low-resolution feature dictionary, use high-resolution video image reconstruction method, realize LR animated video images and HR animation video images, and introduce nonlocal similarity empirical constraints to optimize HR images; analyze gray and detail features based on wavelet transform, extract the video image features, separate the prospect and background of animated video images, transform K-L (Karhunen–Loeve) as the core, dynamically identify the similarity between evaluation features, and complete the animation design based on three-dimensional visual communication technology. For each input image L, the Li convolutional nuclei were filtered separately. us, the first layer of the PCA filter group is completed

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