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文章基本信息

  • 标题:Video Retrieval using Histogram and Sift Combined with Graph-based Image Segmentation
  • 本地全文:下载
  • 作者:Anh, Tran Quang ; Bao, Pham ; Khanh, Tran Thuong
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2012
  • 卷号:8
  • 期号:6
  • 页码:853-858
  • DOI:10.3844/jcssp.2012.853.858
  • 出版社:Science Publications
  • 摘要:Problem statement: Content-Based Video Retrieval (CBVR) is still an open hard problem because of the semantic gap between low-level features and high-level features, largeness of database, keyframe’s content, choosing feature.In this study we introduce a new approach for this problem based on Scale-Invariant Feature Transform (SIFT) feature, a new metric and an object retrieval method. Conclusion/Recommendations: Our algorithm is built on a Content-Based Image Retrieval (CBIR) method in which the keyframe database includes keyframes detected from video database by using our shot detection method. Experiments show that the approach of our algorithmhas fairly high accuracy.
  • 关键词:Content-Based Video Retrieval (CBVR); Content-Based Image Retrieval (CBIR); Scale-Invariant Feature Transform (SIFT); natural important problem; various properties
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