基于数字化多媒体的艺术设计实验室智能平台设计
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摘要
为了提高艺术设计实验过程的指导性和人工智能性,需要构建艺术设计实验室智能平台,融合数字化多媒体和图形图像处理技术进行艺术设计优化,提出一种基于嵌入式ARM和数字化多媒体图像处理技术的艺术设计实验室智能平台设计方案。构建智能平台的总体结构模型,平台建立在嵌入式环境中,采用数字化图像处理技术进行艺术设计中的图形融合调度。在ARM,PowerPC等多种硬件平台上进行艺术设计平台的兼容性设计,以内核映像的形式建立艺术设计平台的文件系统和用户应用程序,在嵌入式ARM中进行艺术设计智能平台的软件开发,将控制权转交给操作系统,实现平台的远程控制和智能多媒体信息处理。系统测试结果表明,该平台进行艺术设计具有很好的多媒体信息调度能力和图形处理能力,为艺术设计提供了精准的3D模型和数据输入基础,可实现艺术设计的智能化开发。
It is necessary to construct the intelligent platform of art design laboratory to improve the guidance and artificial intelligence of art and design experiment process. The art design optimization is performed by means of the integration of digital multimedia and graphic image processing technology to propose an intelligent platform design scheme of art design laboratory based on embedded ARM and digital multimedia image processing technology. The overall structure model of the intelligent platform is constructed. The platform is built in the embedded environment. The digital image processing technology is used for the graphic fusion scheduling in art design. The compatibility design of the art design platform is carried out on ARM,Power PC and other hardware platforms. The file system and user application program of the art design platform are established in the form of kernel image,and the software development of the art design intelligent platform is performed in embedded ARM. The control power is handed over to the operating system to realize the remote control and intelligent multimedia information processing. The test results of the system show that the platform for art design has perfect multimedia information scheduling ability and graphics processing ability,provides the accurate 3 D model and data input for art design,and can realize the intelligent development of art design.
It is necessary to construct the intelligent platform of art design laboratory to improve the guidance and artificial intelligence of art and design experiment process. The art design optimization is performed by means of the integration of digital multimedia and graphic image processing technology to propose an intelligent platform design scheme of art design laboratory based on embedded ARM and digital multimedia image processing technology. The overall structure model of the intelligent platform is constructed. The platform is built in the embedded environment. The digital image processing technology is used for the graphic fusion scheduling in art design. The compatibility design of the art design platform is carried out on ARM,Power PC and other hardware platforms. The file system and user application program of the art design platform are established in the form of kernel image,and the software development of the art design intelligent platform is performed in embedded ARM. The control power is handed over to the operating system to realize the remote control and intelligent multimedia information processing. The test results of the system show that the platform for art design has perfect multimedia information scheduling ability and graphics processing ability,provides the accurate 3 D model and data input for art design,and can realize the intelligent development of art design.
引文
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[6]TUIA D,PASOLLI E,EMERY W J.Using active learning to adapt remote sensing image classifiers[J].Remote sensing of environment,2011,115(9):2232-2242.
[7]陈兴稣,王雪峰,王元庆.多小波有限元法在扩散光层析图像重建中的应用研究[J].激光杂志,2016,37(12):48-51.CHEN Xingsu,WANG Xuefeng,WANG Yuanqing.The application of multi wavelet finite element method in the reconstruction of diffuse optical tomography[J].Laser journal,2016,37(12):48-51.
[8]DI W,CRAWFORD M M.View generation for multiview maximum disagreement based active learning for hyperspectral image classification[J].IEEE transactions on geoscience and remote sensing,2012,50(5):1942-1954.
[9]张良,罗祎敏,马洪超,等.基于未标签信息主动学习算法的高光谱影像分类[J].计算机应用,2017,37(6):1768-1771.ZHANG Liang,LUO Yimin,MA Hongchao,et al.High spectral image classification based on unlabeled information active learning algorithm[J].Computer applications,2017,37(6):1768-1771.
[10]HE Y,ZHANG C S,TANG X M,et al.Coherent integration loss due to pulses loss and phase modulation in passive bistatic radar[J].Digital signal processing,2013,23(4):1265-1276.
[11]HAO H.Multi component LFM signal detection and parameter estimation based on EEMD-FRFT[J].Optik:international journal for light and electron optics,2013,124(23):6093-6096.
[12]GOVONI M A,LI H,KOSINSKI J A.Range-Doppler resolution of the linear-FM noise radar waveform[J].IEEE transactions on aerospace and electronic systems,2013,49(1):658-664.