Shot Boundary Detection Algorithm Based on HSV Histogram and HOG Feature
- 10.2991/icaemt-15.2015.181How to use a DOI?
- HSV Color Histogram, HOG Feature, Shot Boundary Detection.
Spatial information can not be contained in the statistical feature of hue-saturation-value(HSV) color histogram, moreover, which is not robust for the videos with the similarity of background information and affected by illumination. Therefore, a new video shot segment method based on HSV histogram and Histogram of Gradient (HOG) feature is proposed. Firstly,HSV color histogram is used to detect the difference between two adjacent frames which is then compared with the adaptive threshold. After the initial detection of the shot boundary is finished, HOG feature of the video is adopted to make further shot boundary detection which eliminates the wrong shot boundaries and adds missed shot boundaries. Experimental results indicate that the proposed method achieves higher accuracy and recall.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hong Shao AU - Yang Qu AU - Wencheng Cui PY - 2015/08 DA - 2015/08 TI - Shot Boundary Detection Algorithm Based on HSV Histogram and HOG Feature BT - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology PB - Atlantis Press SP - 951 EP - 957 SN - 2352-5401 UR - https://doi.org/10.2991/icaemt-15.2015.181 DO - 10.2991/icaemt-15.2015.181 ID - Shao2015/08 ER -