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    • 1. 发明申请
    • VIDEO CONCEPT CLASSIFICATION USING AUDIO-VISUAL ATOMS
    • 使用音频视频的视频概念分类
    • US20110081082A1
    • 2011-04-07
    • US12574716
    • 2009-10-07
    • Wei JiangCourtenay CottonShih-Fu ChangDaniel P. EllisAlexander C. Loui
    • Wei JiangCourtenay CottonShih-Fu ChangDaniel P. EllisAlexander C. Loui
    • G06K9/00G06K9/62G10L11/00
    • G06K9/00765G10L25/00
    • A method for determining a classification for a video segment, comprising the steps of: breaking the video segment into a plurality of short-term video slices, each including a plurality of video frames and an audio signal; analyzing the video frames for each short-term video slice to form a plurality of region tracks; analyzing each region track to form a visual feature vector and a motion feature vector; analyzing the audio signal for each short-term video slice to determine an audio feature vector; forming a plurality of short-term audio-visual atoms for each short-term video slice by combining the visual feature vector and the motion feature vector for a particular region track with the corresponding audio feature vector; and using a classifier to determine a classification for the video segment responsive to the short-term audio-visual atoms.
    • 一种用于确定视频段的分类的方法,包括以下步骤:将视频段分解成多个短视频片段,每个短片段包括多个视频帧和音频信号; 分析每个短期视频片段的视频帧以形成多个区域轨道; 分析每个区域轨迹以形成视觉特征向量和运动特征向量; 分析每个短期视频片段的音频信号以确定音频特征向量; 通过将特定区域轨道的视觉特征向量和运动特征向量与相应的音频特征向量组合,形成每个短期视频片段的多个短期视听原子; 并且使用分类器来确定响应于短期视听原子的视频片段的分类。
    • 2. 发明授权
    • Video concept classification using audio-visual atoms
    • 使用视听原子的视频概念分类
    • US08135221B2
    • 2012-03-13
    • US12574716
    • 2009-10-07
    • Wei JiangCourtenay CottonShih-Fu ChangDaniel P. EllisAlexander C. Loui
    • Wei JiangCourtenay CottonShih-Fu ChangDaniel P. EllisAlexander C. Loui
    • G06K9/62G06K9/54
    • G06K9/00765G10L25/00
    • A method for determining a classification for a video segment, comprising the steps of: breaking the video segment into a plurality of short-term video slices, each including a plurality of video frames and an audio signal; analyzing the video frames for each short-term video slice to form a plurality of region tracks; analyzing each region track to form a visual feature vector and a motion feature vector; analyzing the audio signal for each short-term video slice to determine an audio feature vector; forming a plurality of short-term audio-visual atoms for each short-term video slice by combining the visual feature vector and the motion feature vector for a particular region track with the corresponding audio feature vector; and using a classifier to determine a classification for the video segment responsive to the short-term audio-visual atoms.
    • 一种用于确定视频段的分类的方法,包括以下步骤:将视频段分解成多个短视频片段,每个短片段包括多个视频帧和音频信号; 分析每个短期视频片段的视频帧以形成多个区域轨道; 分析每个区域轨迹以形成视觉特征向量和运动特征向量; 分析每个短期视频片段的音频信号以确定音频特征向量; 通过将特定区域轨道的视觉特征向量和运动特征向量与相应的音频特征向量组合,形成每个短期视频片段的多个短期视听原子; 并且使用分类器来确定响应于短期视听原子的视频片段的分类。