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Cluster Computing

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07-02-2018

Multiple parameter algorithm approach for adult image identification

Authors: R. Balamurali, A. Chandrasekar

Published in: Cluster Computing | Special Issue 5/2019

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Abstract

Multi-parameter algorithm with statistical approach for adult image discretion is proposed to figure out the obscene images. In this work, we propose an analysis on different color spaces to identify an effective pixel identification for human skin. In this work, an algorithm is incorporated to verify and spirit away the unambiguous image by identifying high skin pixel rate. This framed algorithm is verified in terms of accuracy, true negatives and false positives and the results expressed in this paper show that the algorithm worked well and fast in detecting obscene images.

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Abdullah-Al-Wadud, M., Chae, O.: Skin segmentation using color distance map and water-flow property. IEEE International Conference on Information Assurance and Security, Naples, Florida, United States, Sept. 8–10, pp. 83–88 (2008)

Alberto, J., Basilio, M., Torres, G.A.: Explicit content image detection. Int. J. (SIPIJ) Signal Image Process, pp. 47–58, Dec. (2010)

Balamurali, R., Aakash, K., Anand, S., Chandrasekar, A.: Intelligent approach to block objectionable images in websites. IEEE International Conference on Advances in Recent Tech. in Comm. and Comp., Chennai, India, Oct. 16–17, pp. 337–342 (2010)

Chen, Y., Zhu, S., Xu, H.: Children’s exposure to mobile in-app advertising: an analysis of content appropriateness. IEEE Int. Conf. Social Computing, Alexandria, VA, Sept. 8–14, vol. 2, pp. 115–119 (2013)

Choi, B., Chung, B.: Adult image detection using Bayesian decision rule weighted by SVM probability. IEEE Int. Conf. Comp. Sci. and Convergence Inf. Tech., Daejeon, South Korea, Nov. 24–26, pp. 659–662 (2009)

Ding, C., Chi, C.-H., Deng, J., Dong, C.-L.: Centralized content-based web filtering and blocking: how far can it go? IEEE Int. Conf. Systems, Man, and Cybernetics, Tokyo, Oct. 12–15, pp. 196–203 (1999)

Fu, Y., Wang, W.: Fast and effectively identify pornographic images. IEEE International conference on Computer intelligence and security, Beijing, China, Dec. 3–4, 1122–1126 (2011)

Godil, A., Grother, P., Ressler, S.: Human Identification from Body Shape. IEEE Int. Conf. 3-D Digital Imaging and Modeling, Gaithersburg, MD, USA, Oct. 6–10, pp. 386–392 (2003)

Hu, W., Wu, O., Chen, Z., Fu, Z., Maybank, S.: Recognition of pornographic web pages by classifying texts and images. IEEE Transaction on Pattern Analysis and Machine Intelligence, IEEE Computer Society, Apr. 23, pp. 1019–1034 (2007)

10.

Jiang, Z., Yao, M., Jiang, W.: Skin detection using color, texture and space information. IEEE Int. Conf. Fuzzy Systems and Knowledge Discovery, Haikou, China, Aug. 24–27, pp. 366–370 (2007)

11.

Joo, S.-I., Jang, S.-W., Han, S.-W., Kim, G.-Y.: ASM-based objectionable image detection in social network services. Int. J. Distrib. Sens. Netw., Jan. (2014), 10 pp

12.

Kia, S.M., Rahmani, H.: A novel scheme for intelligent recognition of pornographic images. IJSC, Computer Vision and Pattern Recognition Nov. (2014)

13.

Meeker, M., Wu, L.: Annual Internet Trends 2013, KPCB, reported May 29, 2013. http://www.kpcb.com/blog/2013-internet-trends

14.

Osman, G., Hitam, M.S., Ismail, M.N.: Enhanced Skin Colour Classifier Using RGB Ratio Model. IJSC. Computer Vision and Pattern Recognition, vol. 3, pp. 1–14 Nov. (2012)

15.

Ou, X., Ling, H., Yu, H., Li, P., Zou, F., Liu, S.: Adult image and video recognition by a deep multicontext network and fine-to-coarse strategy. ACM Trans. Intell. Syst. Technol. 8(5), 1–25 (2017)

16.

Phung, S.L., Bouzerdoum, A., Chai, D.: Skin segmentation using color pixel classification: analysis and comparison. IEEE International Transaction on Pattern Analysis and Machine Intelligence. IEEE Computer Society, Jan. 17, pp. 148–154 (2005)

17.

Sadek, S., Al-Hamadi, A., Michaelis, B., Sayed, U.: A robust neural system for objectionable image recognition. IEEE Int. Conf. Machine Vision, Dubai, UAE, Dec. 28–30, pp. 32–36 (2009)

18.

Vezhnevets, V., Sazonov, V., Andreeva, A.: A survey on pixel-based skin color detection techniques. Int. Conf. Computer Graphics, Moscow, Russia (2003)

19.

Yang, J., Fu, Z., Tan, T., Hu, W.: A novel approach to detecting adult images. IEEE Int. conf. Pattern Recognition, Beijing, China, Aug. 23–26, vol. 4, pp. 479–482 (2004)

20.

Yin, H., Xu, X., Ye, L.: Big skin regions detection for adult image identification. IEEE workshop on Digital Media and Digital Content Management, Hangzhou, Zhejiang, China, May 15–16, pp. 242–247 (2011)

21.

Zhao, G., Wang, S., Wang, T., Chen, J.: HSV color space and face detection based objectionable image detecting. IEEE International Conference on Future Gen. Communication and Networking, Wuhan, Hubei, China, Dec. 13–15, pp. 107–110 (2008)

22.

Zheng, Q.-F., Zeng, W., Wen, G., Wang, W.-Q.: Shape-based adult images detection. IEEE International Conference on Image and Graphics, CAS, Beijing, China, Dec. 18–20, pp. 150–153 (2004)

23.

Zhu, H., Zhou, S., Wang, J., Yin, Z.: An algorithm of pornographic image detection. IEEE Int. Conf. Image and Graphics, Shenzhen, Guangdong, China, Aug. 22–24, pp. 801–804 (2007)

Title: Multiple parameter algorithm approach for adult image identification
Authors: R. Balamurali
A. Chandrasekar
Publication date: 07-02-2018
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 5/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1510-3

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