[1]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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Video commercial detection based on the robustness of sho t

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 2 Page number: 83-88 Column: 学术论文—机器感知与模式识别 Public date: 2007-04-25
Title:
Video commercial detection based on the robustness of sho t
Author(s):
ZHANG Liang1;  ZHU Zhen-feng1;  ZHAO Yao1;  LU Han-qing2
1. Institute of Information Science, Beijing Jiaotong Univesity, Beijing 100044 ，China;
2.Key Laboratory of Pattern Identification, Institute of Automation under the C hinese Academy of Sciences, Beijing 100080, China
Keywords:
video commercial detection;  shot detection;  support v ector machine
CLC:
TP391
DOI:
-
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 threephase system for commercial detection is suggested to improve ro b ustness of the detection system. Firstly, two Regionbased 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.
References:
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