用于广播电视内容中的广告检测的仅音频方法
An audio-only method for advertisement detection in broadcast television content
摘要：
我们解决广播电视内容中的广告检测的任务。虽然通常从视频或视听的角度来处理，我们提出了一个音频的方法。我们的方法集中在检测存在于节目和广告之间的边界以及广告本身之间的短暂沉默。为了识别广告区域，我们首先以非常低的信号能量定位广播内容内的所有点。接下来，我们使用一个多元线性回归模型，拒绝非边界的沉默的基础上提取的本地上下文立即周围的沉默的特征。最后，我们确定广告区域的基础上检测到的边界沉默的长期分组。当评估超过26小时的注释数据库，涵盖国家和商业葡萄牙电视频道，我们获得超过0.87的马修斯相关系数和优于免费提供的视听方法。
英文摘要：
We address the task of advertisement detection in broadcast television content. While typically approached from a video-only or audio-visual perspective, we present an audio-only method. Our approach centres on the detection of short silences which exist at the boundaries between programming and advertising, as well as between the advertisements themselves. To identify advertising regions we first locate all points within the broadcast content with very low signal energy. Next, we use a multiple linear regression model to reject non-boundary silences based on features extracted from the local context immediately surrounding the silence. Finally, we determine the advertising regions based on the long-term grouping of detected boundary silences. When evaluated over a 26 hour annotated database covering national and commercial Portuguese television channels we obtain a Matthews correlation coefficient in excess of 0.87 and outperform a freely available audio-visual approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
