集成面向数据的基于智能评估框架的图像检测系统

Rui Wang
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引用次数: 0

摘要

本文设计了基于教师身份图像检测系统的集成数据的英语教学质量智能评价框架。采用基于内容的动态关键帧提取算法获取运动视频流中的关键帧,从而减少后续操作的处理量,达到对连续动作进行自动分割的目的。受此启发,在进一步分析运动状态图像检测系统的基础上,设计了该模型。所设计的模型基于现代新媒体和多终端交互网络平台,完成了多源数据的采集,并设计构建了包括娱乐生活子数据库在内的核心子数据库。利用所设计的模型,实现了面向数据的英语教学质量智能评价框架。通过对检测性能的测试,证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Data-Oriented Intelligent Evaluation Framework Based Image Detection System
Integrating data-oriented intelligent evaluation framework for English guiding quality based on teacher status image detection system is designed in the paper. The content-based dynamic key frame extraction algorithm is used to obtain the key frames in the moving video stream, so as to reduce the processing amount of subsequent operations and achieve the purpose of automatic segmentation of the continuous actions. Inspired by this, the designed model is based on the further analysis on the motion status image detection system. The designed model is based on modern new media and multi-terminal interactive network platform, it completes the collection of multi-source data, and designs and constructs a core sub-database including entertainment life sub-database. With the designed model, the data-oriented intelligent evaluation framework for English guiding quality is implemented. Through the testing focusing on the detection performance, the results are proven to be effect.
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