TY  - JOUR
AU  - Anh, Tran Quang 
AU  - Bao, Pham 
AU  - Khanh, Tran Thuong 
AU  - Thao, Bui Ngo Da 
AU  - Tuan, Tran Anh 
AU  - Nhut, Nguyen Thanh 
PY  - 2012
TI  - Video Retrieval using Histogram and Sift Combined with Graph-based Image Segmentation
JF  - Journal of Computer Science
VL  - 8
IS  - 6
DO  - 10.3844/jcssp.2012.853.858
UR  - https://thescipub.com/abstract/jcssp.2012.853.858
AB  - 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.