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http://dx.doi.org/10.5762/KAIS.2016.17.5.339

Mosaic Detection Based on Edge Projection in Digital Video  

Jang, Seok-Woo (Department of Digital Media, Anyang University)
Huh, Moon-Haeng (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.5, 2016 , pp. 339-345 More about this Journal
Abstract
In general, mosaic blocks are used to hide some specified areas, such as human faces and disgusting objects, in an input image when images are uploaded on a web-site or blog. This paper proposes a new algorithm for robustly detecting grid mosaic areas in an image based on the edge projection. The proposed algorithm first extracts the Canny edges from an input image. The algorithm then detects the candidate mosaic blocks based on horizontal and vertical edge projection. Subsequently, the algorithm obtains real mosaic areas from the candidate areas by eliminating the non-mosaic candidate regions through geometric features, such as size and compactness. The experimental results showed that the suggested algorithm detects mosaic areas in images more accurately than other existing methods. The suggested mosaic detection approach is expected to be utilized usefully in a variety of multimedia-related real application areas.
Keywords
Mosaic blocks; Candidate regions; Performance Evaluation; Projection;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 S.-F. Sun, S.-H. Han, G. Wang, Y.-C. Xu, and B.-J. Lei, "Mosaic Defect Detection in Digital Video," In Proc. of the IEEE Chinese Conference on Pattern Recognition (CCPR), pp. 1-5, October 2010. DOI: http://dx.doi.org/10.1109/ccpr.2010.5659234   DOI
2 H.-I. Choi, Computer Vision, Hongrung Publishing Company, November 2012.
3 S. H. Kim, G. J. So, "Block Based Extraction of Excessive Disparity Regions Using Automatic Binarization," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 5, No. 4, pp. 91-100, Aug. 2015. DOI: http://dx.doi.org/10.14257/AJMAHS.2015.08.56   DOI
4 Y. M. Kang, K. H. Kim, M. R. Han, J. B. Kim, "A Study on the Business Strategies based on Big Data Analysis," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 5, No. 5, pp. 145-152, Oct. 2015. DOI: http://dx.doi.org/10.14257/AJMAHS.2015.10.14   DOI
5 Young-Eun An, Ji-Min Lee, Won-Ii Yang, Young-Il Choi, Min-Hyuk Chang, "Object Retrieval Using the Corners Area Variability Based on Correlogram," The Journal of The Institute of Webcasting, Internet and Telecommunication, Vol. 11 No. 6, pp. 283-288, 2011.
6 P. K. Rhee, Y. Z. Xu, H. C. Shin, Y. Shen, "Local Context based Feature Extraction for Efficient Face Detection," The Journal of The Institute of Webcasting, Internet and Telecommunication, Vol. 11 No. 1, pp. 185-191, 2011.
7 Y.-S. Kim, J.-Y. Ahn, S.-B. Kim, K.-I. Hur, "A study on Robust Feature Image for Texture Classification and Detection," The Journal of The Institute of Webcasting, Internet and Telecommunication, Vol. 10 No. 5, pp. 133-138, 2010.
8 D.-W. Kim, Y.-J. Song, A.-K. Kim, Y.-S. Hong, J.-H. Ahn, "Object Detection Method for The Wild Pig Surveillance System," The Journal of The Institute of Webcasting, Internet and Telecommunication, Vol. 10 No. 5, pp. 229-235, 2010.
9 D. H. Kim, "SVD-based Image Enhancement Method using Weighted Average of Histogram Stretching and Equalization," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol.5, No.5, pp. 77-85, Oct. 2015. DOI: http://dx.doi.org/10.14257/AJMAHS.2015.10.01   DOI
10 H. Duan, Y. Peng, G. Min, X. Xiang, W. Zhan, and H. Zou, "Distributed In-Memory Vocabulary Tree for Real-Time Retrieval of Big Data Images," Ad Hoc Networks, Vol. 35, pp. 137-148, December 2015. DOI: http://dx.doi.org/10.1016/j.adhoc.2015.05.006   DOI
11 S.-W. Jang and M. Jung, "Detection of Harmful Content Using Multilevel Verification in Visual Sensor Data," Wireless Personal Communications, Springer, pp. 1-16, August 2015.
12 D. Rim, M. K. Hasan, F. Puech, and C. J. Pal, "Learning from Weakly Labeled Faces and Video in the Wild," Pattern Recognition, Vol. 48, No. 3, pp. 759-771, March 2015. DOI: http://dx.doi.org/10.1016/j.patcog.2014.09.016   DOI
13 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," Applied Geography, Vol. 63, pp. 337-345, September 2015. DOI: http://dx.doi.org/10.1016/j.apgeog.2015.07.010   DOI
14 D. Guo, J. Tang, Y. Cui, J. Ding, and C. Zhao, "Saliency-based Content-Aware Lifestyle Image Mosaics," Journal of Visual Communication and Image Representation, Vol. 26, pp. 192-199, January 2015. DOI: http://dx.doi.org/10.1016/j.jvcir.2014.11.011   DOI
15 Z. Wei, J. Lin, L. Zhang, and S. Song, "Mosaic Defect Detection Based on Macro Block Solid Edge Detection," Research Journal of Applied Science, Engineering and Technology, No. 5, Vol. 13, pp. 3549-3553, April 2013.   DOI
16 Y.-J. Park, G.-S. Choi, and J.-J. Park, "A Study on Grid Mosaic Detection for Identifying Image Harmfulness," In Proc. of the Korea Society of Industrial Information Systems, pp. 1-5, June 2015.
17 J. Liu, L. Huang, and J. Lin, "An Image Mosaic Block Detection Method Based on Fuzzy C-Means Clustering," In Proc. of the IEEE International Conference on Computer Research and Development (ICCRD), Vol. 1, pp. 237-240, March 2011. DOI: http://dx.doi.org/10.1109/ICCRD.2011.5764011   DOI
18 X. Huang, H. Ma, and H. Yuan, "Video Mosaic Block Detection Based on Template Matching and SVM," In Proc. of the IEEE International Conference for Young Computer Scientist (ICYCS), pp. 1082-1086, November 2008. DOI: http://dx.doi.org/10.1109/icycs.2008.69   DOI