Advertisement Detection and Replacement using Acoustic and Visual Repetition
Advertisement Detection and Replacement using Acoustic and Visual Repetition
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DOI：
10.1109/mmsp.2006.285351
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发表时间：
2006-10
期刊：
影响因子：
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通讯作者：
Michele Covell;S. Baluja;Michael Fink
中科院分区：
文献类型：
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作者：
Michele Covell;S. Baluja;Michael Fink
在本文中，我们提出了一种检测和精确分割广播流的重复部分的方法。这种方法允许将广告删除并用重新分布的电视材料中的新广告代替。检测阶段从声学匹配开始，并使用视觉通道验证了假设的匹配。最后，精确的分割使用细粒度的声学匹配轮廓来确定起点和终点。该方法在广播噪音和广播电机信号的差异方面既有效又健壮。我们的最终结果几乎是完美的，高于99％的精度，重复广告的召回率为95％
In this paper, we propose a method for detecting and precisely segmenting repeated sections of broadcast streams. This method allows advertisements to be removed and replaced with new ads in redistributed television material. The detection stage starts from acoustic matches and validates the hypothesized matches using the visual channel. Finally, the precise segmentation uses fine-grain acoustic match profiles to determine start and end-points. The approach is both efficient and robust to broadcast noise and differences in broadcaster signals. Our final result is nearly perfect, with better than 99% precision, at a recall rate of 95% for repeated advertisements