Abstract

In this paper, we propose a new scene change detection method using multiple histograms. The proposed method produces multiple histograms of split blocks for consecutive frames. Then, it computes the optimal threshold value using automatic thresholding based on the Otsu method and decides whether the scene change occurs or not using the difference between threshold values in successive frames. In the experiments for the subjective evaluation, the proposed method correctly identified the scene change, thereby preventing interpolated frames with poor image quality due to block artifacts. In the objective evaluation using the F1 score, the proposed method improved the accuracy of the scene change detection by up to 0.461 compared with the benchmark methods.

© 2012 IEEE

Three-directional motion-compensation mask-based novel look-up table on graphics processing units for video-rate generation of digital holographic videos of three-dimensional scenes

Min-Woo Kwon, Seung-Cheol Kim, and Eun-Soo Kim
Appl. Opt. 55(3) A22-A31 (2016)

Surface defect detection method for glass substrate using improved Otsu segmentation

Zhiyong He and Lining Sun
Appl. Opt. 54(33) 9823-9830 (2015)

Fast generation of video holograms of three-dimensional moving objects using a motion compensation-based novel look-up table

Seung-Cheol Kim, Xiao-Bin Dong, Min-Woo Kwon, and Eun-Soo Kim
Opt. Express 21(9) 11568-11584 (2013)

Scene motion detection in imagery with anisoplanatic optical turbulence using a tilt-variance-based Gaussian mixture model

Richard L. Van Hook and Russell C. Hardie
Appl. Opt. 60(25) G91-G106 (2021)

Quaternary pulse width modulation based ultra-high frame rate scene projector used for hard-ware-in-the-loop testing

Yajie Cao, Yue Pan, Motong Hu, and Xiaowei Lu
Opt. Express 32(6) 10373-10391 (2024)