Detection of Grid-Shaped Mosaic Regions through Geometric Filtering from Social Video Data
AUTHORS
Seok-Woo Jang,Department of Software, Anyang University, Anyang 14028, Republic of Korea
Sung-Youn Cho,Department of Software, Anyang University, Anyang 14028, Republic of Korea
ABSTRACT
This paper proposes an algorithm that accurately detects the grid-shaped mosaic region used to cover certain regions of video data based on edge projection. The proposed algorithm first detects Canny edges from the image and detects candidate regions of the mosaic using horizontal and vertical line edge projection. The actual mosaic regions are then finally detected by filtering candidate regions of the mosaic using geometric features. Experimental results show that the proposed algorithm detects the area corresponding to the mosaic block more accurately than the other detection methods from various input images.
KEYWORDS
image analysis, feature extraction, mosaic detection, filtering, rule generation
REFERENCES
[1] L. Yin, Q. Cheng, Z. Wang, and Z. Shao, Big Data for Pedestrian Volume: Exploring the Use of Google Street View Images for Pedestrian Counts. Appl. Geogr. 63 (2015)
[2] D. Guo, J. Tang, Y. Cui, J. Ding, and C. Zhao, Saliency-based Content-Aware Lifestyle Image Mosaics. J. Vis. Comm. Image Represent. 26 (2015)
[3] S.-W. Jang, M. Jung, Detection of Harmful Content Using Multilevel Verification in Visual Sensor Data. Wireless Pers. Comm. 86 (2016)
[4] X. Huang, H. Ma, and H. Yuan, Video Mosaic Block Detection Based on Template Matching and SVM. Proceedings of the IEEE International Conference for Young Computer Scientist, (2008) November 18-21; Hunan, China.
[5] Y.-J. Park, J.-W. Lee, G.-S. Choi, and J.-J. Park, A Study on Grid Mosaic Detection for Identifying Image Harmfulness. Proceedings of the Korea Society of Industrial Information Systems, (2015), July 19-20; Incheon, Korea.
[6] J. Liu, L. Huang, and J. Lin, An Image Mosaic Block Detection Method Based on Fuzzy C-Means Clustering. Proceedings of the IEEE International Conference on Computer Research and Development, (2011) March 11-13; Shanghai, China. DOI: 10.1109/ICCRD.2011.5764011(CrossRef)(Google Scholar)
[7] Z. Wei, J. Lin, L. Zhang, and S. Song, Mosaic Defect Detection Based on Macro Block Solid Edge Detection. Res. J. Appl. Sci. Eng. Tech. 5 (2013)
[8] S.-F. Sun, S.-H. Han, G. Wang, Y.-C. Xu, and B.-J. Lei, Mosaic Defect Detection in Digital Video. Proceedings of the IEEE Chinese Conference on Pattern Recognition, (2011) October 21-23; Chongqing, China.
[9] K. Gaurav and U. Ghanekar, Image Steganography Based on Canny Edge Detection, Dilation Operator and Hybrid Coding. Journal of Information Security and Applications 41 (2018) DOI: 10.1016/j.jisa.2018.05.001(CrossRef)(Google Scholar)
[10] L. Jin, W. Zhang, G. Ma, E. Song, Learning Deep CNNs for Impulse Noise Removal in Images. J. Vis. Comm. Image Represent. 62 (2019)
[11] M. A. Elaziz, S. Lu, Many-Objectives Multilevel Thresholding Image Segmentation Using Knee Evolutionary Algorithm. Expert Syst. Appl. 125 (2019)