基于关键点和局部特征的动画媒体视频帧自适应分解系统

Adaptive Video Frame Decomposition System for Animation Media based on Key Points and Local Features

目前提出的动画媒体视频帧自适应分解系统分解过程延时过长,导致分解结果不准确,因此提出一种基于关键点和局部特征的动画媒体视频帧自适应分解系统。动画识别模块系统硬件由FG5735型号处理器和数据存储器构成,硬件内部色彩传感器模块由滤波器组件、TCS230芯片、光接收器组成;动画媒体视频帧分解模块由IE5386处理器芯片作为硬件的核心模块。通过关键点采集、局部特征分析、数据计算实现动画媒体视频帧的分解。实验结果表明,基于关键点和局部特征的动画媒体视频帧自适应分解系统能够有效缩短分解过程延时,提高分解结果的准确性。

At present,the proposed animation media video frame adaptive decomposition system has a long decomposition process delay,resulting in inaccurate decomposition results.Therefore,an animation media video frame adaptive decomposition system based on key points and local features is proposed.The system hardware of the animation recognition module is composed of FG5735 processor and data memory.The internal color sensor module of the hardware is composed of filter module,TCS230 chip and optical receiver.The frame decomposition module of animation media video consists of IE5386 processor chip as the core module of hardware.The video frame decomposition of animation media is realized through key point acquisition,local feature analysis and data calculation.The experimental results show that the animation media video frame adaptive decomposition system based on key points and local features can effectively shorten the decomposition process delay and improve the accuracy of decomposition results.