Video Shot segmentation algorithm based on SURF
Shujing Pan, Shutao Sun, Lifang Yang, Fengfeng Duan
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.357How to use a DOI?
- video retrieval, video shot segmentation, SURF.
- Video Shot segmentation is the key technology in content-based video retrieval and browsing, and which will directly affect the results of video retrieval. In view of the problems that the traditional shot segmentation algorithm is complex, the feature of video frame is not ideal, and the segmentation accuracy is low, this paper proposes a shot segmentation algorithm based on SURF (Speeded up Robust Features). This algorithm obtains the boundary of shots by computing the SURF features of video frames and calculating the feature matching rate. The experimental results show that: this algorithm can greatly reduce the amount of computation and data, improve the efficiency of the algorithm. And this algorithm has a great improvement in the accuracy of shot segmentation compared with shot segmentation algorithm based on color histogram.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shujing Pan AU - Shutao Sun AU - Lifang Yang AU - Fengfeng Duan PY - 2015/12 DA - 2015/12 TI - Video Shot segmentation algorithm based on SURF BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.357 DO - https://doi.org/10.2991/icmmcce-15.2015.357 ID - Pan2015/12 ER -