Weber Binarized Statistical Image Features (WBSIF) based video copy detection
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- 作者：Aissa Boukhari ; aboukhari@usthb.dz" class="auth_mail" title="E-mail the corresponding author ; Amina Serir aserir@usthb.dz" class="auth_mail" title="E-mail the corresponding author
- 关键词：Video copy detection ; Video fingerprinting ; Content-based copy detection ; Key-frame ; Local binary patterns ; Weber local descriptor ; Binarized statistical image features ; Weber binarized statistical image features
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：34
- 期：Complete
- 页码：50-64
- 全文大小：1508 K
文摘
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A novel Video Copy Detection (VCD) is proposed.
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The VCD is based on the Weber Binarized Statistical Image Features descriptor (WBSIF).
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The matching process is performed by using of the χ2 test.
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Results outline the robustness and effectiveness with high accuracy.
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Proposed method shows a noteworthy performance against currently existing techniques.