Learning-based video fast-pan detection

Hsin Cheng Lin*, Szu-Hao Huang, Shang Hong Lai

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

In this paper, we introduce the fast-pan detection problem which aims to find out the fast motion / low resolution frames caused by fast camera pan. In addition, we propose an algorithm that employs neural network training process to accomplish the detection. The features used in the neural network process include motion features and texture features. In addition, we also take temporal information into account for determining fast-pan events. Experimental results show that the proposed method which combines motion and texture features could achieve satisfactory performance.

原文English
主出版物標題ITRE 2005 - 3rd International Conference on Information Technology
主出版物子標題Research and Education - Proceedings
頁面181-185
頁數5
DOIs
出版狀態Published - 1 十二月 2005
事件ITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Hsinchu, Taiwan
持續時間: 27 六月 200530 六月 2005

出版系列

名字ITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Proceedings
2005

Conference

ConferenceITRE 2005 - 3rd International Conference on Information Technology: Research and Education
國家Taiwan
城市Hsinchu
期間27/06/0530/06/05

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