[1]张 亮,朱振峰,赵 耀,等.基于镜头的鲁棒视频广告检测[J].智能系统学报,2007,2(2):83-88.
ZHANG Liang,ZHU Zhen-feng,ZHAO Yao,et al.Video commercial detection based on the robustness of sho t[J].CAAI Transactions on Intelligent Systems,2007,2(2):83-88.
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ZHANG Liang,ZHU Zhen-feng,ZHAO Yao,et al.Video commercial detection based on the robustness of sho t[J].CAAI Transactions on Intelligent Systems,2007,2(2):83-88.
基于镜头的鲁棒视频广告检测
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第2期
页码:
83-88
栏目:
学术论文—机器感知与模式识别
出版日期:
2007-04-25
- Title:
- Video commercial detection based on the robustness of sho t
- 文章编号:
- 1673-4785(2007)02-0083-06
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 随着多媒体技术的发展，自动检测出数字视频节目里面嵌入的广告是很具挑战性的研究.然而，由于嵌入的广告的制作方式和表现手法的多样性，很多自动检测模型的实验结果往往不甚理想.为了提高检测系统的鲁棒性，提出了3阶段广告检测系统.首先，提出了基于区域特征重要性的镜头检测算法（RBFID, regionbased feature importance detect ion），实现视频播放中突变镜头和消隐镜头的检测, 同时从每个镜头提取出一些统计特征用来标识镜头.然后，利用SVM的优异分类特性实现镜头分类.最后为了能得到精确的广告视频段，利用广告视频在内容和时间上的连续性来消除错分的镜头，然后将广告镜头整合成广告视频段.本系统在30个电视节目的片段上进行验证，实验结果表明此广告检测系统具有实用性.
- Abstract:
- Automatic detection of commercials embedded in digital video materials is a challenging task with the development of retrieval of multimedia data. How ever, because of the diversity of production modes and expression methods of com mercials, the performances of current detection systems are inadequate. In this paper, a threephase system for commercial detection is suggested to improve ro b ustness of the detection system. Firstly, two Regionbased Feature Importance D e tection schemes are proposed to detect cut shots and dissolved shots respectivel y and some statistical features are also extracted to mark shots. Secondly, an S VM classifier is applied to classify these shots. Finally, in order to obtain co mmercial segments more accurately, a statistical comparison of time and content of commercials is used to eliminate falsely cut shots. Finally, these commercial shots are integrated into commercial video segment. Test results on 30 TV video segments show the effectiveness of the suggested system.
- 参考文献/References:
-
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备注/Memo
收稿日期：2006-10-26.
基金项目：国家自然科学基金资助项目(60373028、90604032、60602030) ；教育部博士点专项基金资助项目(20030004016).
作者简介：张 亮，男，1981年生,硕士研究生，主要研究方向为基于内容的视频检索.E-mail：zhangliangwin@hotmail.com;?朱振峰，男，1974年生，讲师，主要研究方向为目标检测与识别、图像检索、视频分析以及机器学习;赵 耀，男，1967年生，教授，博士生导师，北京交通大学特聘教授，北京交通大学信息科学研究所所长.主持和参加了24项科研课题，发表论文90余篇，目前50余篇被SCI、EI检索，出版著作2部，申请发明专利3项.
更新日期/Last Update:
2009-05-06