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    • 51. 发明授权
    • Automatic signature-based spotting, learning and extracting of commercials and other video content
    • 自动签名发现,学习和提取广告等视频内容
    • US06469749B1
    • 2002-10-22
    • US09417288
    • 1999-10-13
    • Nevenka DimitrovaThomas McGeeLalitha Agnihotri
    • Nevenka DimitrovaThomas McGeeLalitha Agnihotri
    • H04N5222
    • H04N21/435G06F17/30814G06K9/00718H04H60/37H04H60/59H04N7/002H04N21/235H04N21/26603H04N21/454H04N21/458H04N21/812
    • A video signal is processed to identify segments that are likely to be associated with a commercial or other particular type of video content. A signature is extracted from each of the segments so identified, and the extracted signatures are used, possibly in conjunction with additional temporal and contextual information, to determine which of the identified segments are in fact associated with the particular video content. One or more of the extracted signatures may be, e.g., a visual frame signature based at least in part on a visual characteristic of a frame of the video segment, as determined using information based on DC and motion coefficients of the frame, or DC and AC coefficients of the frame. A given extracted signature may alternatively be an audio signature based at least in part on a characteristic of an audio signal associated with a portion of the video segment. Other types of signatures can also be used. Advantageously, the invention allows the identification and extraction of particular video content to be implemented with significantly reduced amounts of memory and computational resources.
    • 处理视频信号以识别可能与商业或其他特定类型的视频内容相关联的片段。 从所识别的每个片段中提取签名,并且可以使用所提取的签名,可能与附加的时间和上下文信息相结合,以确定哪个已识别的片段实际上与特定的视频内容相关联。 所提取的签名中的一个或多个可以是例如至少部分地基于视频段的视频特征的视觉帧签名,使用基于DC和帧的运动系数或DC的信息来确定,以及 帧的AC系数。 至少部分地基于与视频段的一部分相关联的音频信号的特性,给定的提取的签名可以替代地是音频签名。 也可以使用其他类型的签名。 有利地,本发明允许以显着减少的存储器和计算资源的量来实现特定视频内容的识别和提取。