Robust Commercial Detection System
Robust Commercial Detection System
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DOI：
10.1109/icme.2007.4284718
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发表时间：
2007-07
期刊：
影响因子：
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通讯作者：
L. Zhang;Zhenfeng Zhu;Yao Zhao
中科院分区：
文献类型：
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作者：
L. Zhang;Zhenfeng Zhu;Yao Zhao
自动检测嵌入在数字视频材料中的商业广告是一项具有挑战性的任务。本文构建了一个三阶段的商业检测系统。首先，分别检测视频镜头和音频剪辑，通过同时融合音频和视频信息来细化场景边界。然后，应用SVM分类器将这些镜头分类为节目镜头或商业镜头。最后，为了使广告片段更加准确，充分利用广告镜头时空内容的同一性，剔除错误分类的广告镜头，最终将单个广告镜头整合到广告序列中。最后对30段电视视频进行了测试，验证了系统的实用性。
Automatic detection of commercials embedded in digital video materials is a challenging task. In this paper, a three-phase system of commercial detection is constructed. Firstly, video shots and audio cuts are detected respectively and scene boundaries are refined by fusing the audio and video information simultaneously. Then, a SVM classifier is applied to classifying these shots as program shots or commercial ones. Finally, in order to make the commercial segments more accurate, the identity of time-spatial content of commercial shots is fully exploited to eliminate those falsely classified commercial ones, based on which the individual commercial shots can be integrated into the commercial sequences ultimately. The final test results on 30 clips of TV videos verify the practicality of the constructed system.