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METHOD FOR FILTERING MALICIOUS VIDEO USING CONTENT-BASED MULTI-MODAL FEATURES AND APPARATUS THEREOF

机译:基于内容的多模态特征过滤恶意视频的方法及其装置

摘要

A method for blocking a malice moving picture by using a contents-based multi-modal feature value and an apparatus therefor are provided to gradually block the moving picture including malice information by using a key frame-based judging engine and a frame-based judging engine and block the malice moving picture by using multi-modal feature values such as contents-based visual feature information, audio feature information, and temporal axis feature information in which malice feature information is extracted from the moving picture. An SVM(Support Vector Machine) model unit constructs a discrimination model including a malice moving picture classification model and a non-malice moving picture classification model(S110). A separating unit separates a video stream and an audio stream from moving picture contents(S120). The first extracting unit extracts a certain visual feature value from the separated video stream, detects a shot boundary, extracts at least one or more key frames from each shot, and generates the shot and key frame information(S130). The second extracting unit performs a certain pre-process for the video stream, and extracts a multi-modal feature value of the key frame on the basis of the shot and the key frame information(S140). A discriminating unit inputs the multi-modal feature value to the discrimination mode, and judges the malice of the shot(S150). The discriminating unit synthesizes the judged result of the shot, and judges the malice of the moving picture contents(S160).
机译:提供了一种通过使用基于内容的多模态特征值来阻止恶意运动图像的方法及其设备,以通过使用基于关键帧的判断引擎和基于帧的判断引擎来逐渐阻止包括恶意信息的运动图像。通过使用多模式特征值,例如从内容中提取出恶意特征信息的基于内容的视觉特征信息,音频特征信息和时间轴特征信息,来阻止恶意特征运动图片。 SVM(支持向量机)模型单元构建包括恶意运动图像分类模型和非恶意运动图像分类模型的判别模型(S110)。分离单元从运动图像内容中分离视频流和音频流(S120)。第一提取单元从分离的视频流中提取特定视觉特征值,检测镜头边界,从每个镜头中提取至少一个或多个关键帧,并生成镜头和关键帧信息(S130)。第二提取单元对视频流执行一定的预处理,并且基于镜头和关键帧信息来提取关键帧的多模式特征值(S140)。判别单元将多模式特征值输入到判别模式,并判断镜头的恶意(S150)。辨别单元合成镜头的判断结果,并判断运动图像内容的恶意(S160)。

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