Video Retrieval using Histogram and Sift Combined with Graph-based Image Segmentation
Tran Quang Anh, Pham Bao, Tran Thuong Khanh, Bui Ngo Da Thao, Tran Anh Tuan and Nguyen Thanh Nhut
DOI : 10.3844/jcssp.2012.853.858
Journal of Computer Science
Volume 8, Issue 6
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, keyframes 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.
© 2012 Tran Quang Anh, Pham Bao, Tran Thuong Khanh, Bui Ngo Da Thao, Tran Anh Tuan and Nguyen Thanh Nhut. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.