Shot Boundary Detection Algorithm Based on HSV Histogram and HOG Feature

DOI

10.2991/icaemt-15.2015.181How to use a DOI?

Keywords

HSV Color Histogram, HOG Feature, Shot Boundary Detection.

Abstract

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.

Copyright

© 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/).

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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  -