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Shot boundary detection algorithm based on multi-feature fusion

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成果类型:
期刊论文、会议论文
作者:
Kai Jin;Hong-cai Feng;Qi Feng;Chi Zhang
作者机构:
[Zhang C.; Jin K.] School of Mathematic and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China
[Feng Q.] Business School, Newcastle University, Newcastle Upon Tyne, NE2 4LB, United Kingdom
[Feng H.-C.] Modern Education Technology Center, Wuhan Polytechnic University, Wuhan 430023, China
语种:
英文
关键词:
Feature fusion;Histogram;Shot boundary detection (SBD);Threshold selection
期刊:
Applied Mechanics and Materials
ISSN:
1660-9336
年:
2013
卷:
347-350
页码:
3866-3871
会议名称:
2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)
会议论文集名称:
2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)论文集
会议时间:
2013-03-22
会议地点:
杭州
会议赞助商:
计算机科学与电子技术国际学会
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
To establish a general and robust shot boundary detection algorithm, according to characteristics of lens conversion and the ideal of multiple video features fusion, a shot boundary detection algorithm is proposed based on YUV histogram, texture feature and edge orientation histogram in the paper. Besides, global and self-adaptive threshold are combined to use so as to control the process of shot boundary detection and enhance the accuracy of threshold selection. The experiment results show that the algorithm can effectively realize video shot boundary detection and strengthen the robustness o...

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