International Journal of Soft Computing

Year: 2020
Volume: 15
Issue: 3
Page No. 78 - 90

A Survey of Feature Extraction Techniques in Content-Based Illicit Image Detection

Authors : S. Hadi Yaghoubyan, Mohd Aizaini Maarof, Anazida Zainal and Mahdi Maktabdar Oghaz

References

Aanaes, H., A.L. Dahl and K.S. Pedersen, 2012. Interesting interest points. Int. J. Comput. Vision, 97: 18-35.
CrossRef  |  Direct Link  |  

Agrawal, M., K. Konolige and M.R. Blas, 2008. Censure: Center surround extremas for realtime feature detection and matching. Proceedings of the European Conference on Computer Vision, October 12-18, 2008, Springer, Marseille, France, pp: 102-115.

Alahi, A., R. Ortiz and P. Vandergheynst, 2012. Freak: Fast retina keypoint. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), June 16-21, 2012, IEEE, Providence, Rhode Island, USA., ISBN:978-1-4673-1226-4, pp: 510-517.

Alface, P.R., 2011. Low complexity corner detector using CUDA for multimedia applications. Proceedings of the 3rd International Conferences on Advances in Multimedia, April 17-22, 2011, IARIA, Budapest, Hungary, pp: 7-11.

Ansari, N. and K.W. Huang, 1991. Non-parametric dominant point detection. Pattern Recognit., 24: 849-862.
CrossRef  |  Direct Link  |  

Arbelaez, P., M. Maire, C. Fowlkes and J. Malik, 2011. Contour detection and hierarchical image segmentation. IEEE. Trans. Pattern Anal. Mach. Intell., 33: 898-916.
CrossRef  |  Direct Link  |  

Arentz, W.A. and B. Olstad, 2004. Classifying offensive sites based on image content. Comput. Vision Image Understanding, 94: 295-310.
CrossRef  |  Direct Link  |  

Awrangjeb, M. and G. Lu, 2007. A robust corner matching technique. Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, July 2-5, 2007, IEEE, Beijing, China, pp: 1483-1486.

Awrangjeb, M. and G. Lu, 2008. Robust image corner detection based on the chord-to-point distance accumulation technique. IEEE. Trans. Multimedia, 10: 1059-1072.
CrossRef  |  Direct Link  |  

Awrangjeb, M. and G. Lu, 2009. Techniques for efficient and effective transformed image identification. J. Visual Commun. Image Represent., 20: 511-520.
Direct Link  |  

Awrangjeb, M., G. Lu and M. Murshed, 2007. An affine resilient curvature scale-space corner detector. Proceedings of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP'07, Vol. 1, April 15-20, 2007, IEEE, Honolulu, Hawaii, pp: I-1233-I-1236.

Awrangjeb, M., G. Lu, C.S. Fraser and M. Ravanbakhsh, 2009. A fast corner detector based on the chord-to-point distance accumulation technique. Proceedings of the 2009 Digital Image Computing: Techniques and Applications, December 1-3, 2009, IEEE, Melbourne, Australia, pp: 519-525.

Basilio, J.A.M., G.A. Torres, G.S. Perez, L.K.T. Medina and H.M.P. Meana, 2011. Explicit image detection using YCbCr space color model as skin detection. Appl. Math. Comput. Eng., 1: 123-128.

Bay, H., A. Ess, T. Tuytelaars and L. van Gool, 2008. Speeded-Up Robust Features (SURF). Comput. Vision Image Understand., 110: 346-359.
CrossRef  |  Direct Link  |  

Bay, H., T. Tuytelaars and L.V. Gool, 2006. Surf: Speeded up Robust Features. In: European Conference on Computer Vision, Leonardis, A., H. Bischof and A. Pinz (Eds.). Springer, Berlin, Germany, ISBN: 978-3-540-33833-8,pp: 404-417~ pp: 404-417.

Calonder, M., V. Lepetit, C. Strecha and P. Fua, 2010. Brief: Binary Robust Independent Elementary Features. In: Computer Vision-ECCV, Daniilidis, K., P. Maragos and N. Paragios (Eds.). Springer, Berlin, Germany, ISBN:978-3-642-15560-4, pp: 778-792.

Canny, J., 1986. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8: 679-698.
CrossRef  |  Direct Link  |  

Chung, M., I. Ko and D. Jang, 2010. Obscene image detection algorithm using high-and low-quality images. Proceedings of the 4th International Conference on New Trends in Information Science and Service Science, May 11-13, 2010, IEEE, Gyeongju-si, South Korea, pp: 522-527.

Deng, H., W. Zhang, E. Mortensen, T. Dietterich and L. Shapiro, 2007. Principal curvature-based region detector for object recognition. Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, June 17-22, 2007, IEEE, Minneapolis, Minnesota, pp: 1-8.

Dollar, P. and C.L. Zitnick, 2013. Structured forests for fast edge detection. Proceedings of the IEEE International Conference on Computer Vision, December 1-8, 2013, IEEE, Sydney, Australia, pp: 1841-1848.

Edwards, L., 2010. Content filtering and the new censorship. Proceedings of the 2010 4th International Conference on Digital Society, February 10-16, 2010, IEEE, Sint Maarten, pp: 317-322.

Elias, R. and R. Laganiere, 2011. JUDOCA: Junction detection operator based on circumferential anchors. IEEE. Trans. Image Process., 21: 2109-2118.
CrossRef  |  Direct Link  |  

Gao, X., W. Zhang, F. Sattara, R. Venkateswarlu and E. Sung, 2005. Scale-space based corner detection of gray level images using plessey operator. Proceedings of the 2005 5th International Conference on Information Communications & Signal Processing, December 6-9, 2005, IEEE, Bangkok, Thailand, pp: 683-687.

Gil, A., O.M. Mozos, M. Ballesta and O. Reinoso, 2010. A comparative evaluation of interest point detectors and local descriptors for visual SLAM. Mach. Vision Appl., 21: 905-920.
CrossRef  |  Direct Link  |  

Gu, S., Y. Zheng and C. Tomasi, 2010. Critical nets and beta-stable features for image matching. Proceedings of the European Conference on Computer Vision, September 8-14, 2010, Springer, Munich, Germany, pp: 663-676.

Han, J.H. and T. Poston, 2001. Chord-to-point distance accumulation and planar curvature: A new approach to discrete curvature. Pattern Recognit. Lett., 22: 1133-1144.
CrossRef  |  Direct Link  |  

Harris, C. and M. Stephens, 1988. A combined corner and edge detector. Proceedings of the 4th Alvey Vision Conference, Volume 15, August 31-September 2, 1988, Manchester, UK., pp: 147-151.

Harris, F.J., 2011. I Found it on the Internet: Coming of Age Online. 2nd Edn., American Library Association, Chicago, Illinois, Pages: 237.

He, X.C. and N.H.C. Yung, 2004. Curvature scale space corners detector with adaptive threshold and dynamic region of support. Proceedings of the 17th International Conference on Pattern Recognition, August 23-26, 2004, Cambridge, UK., pp: 791-794.

Hudson, H.E., 2013. From Rural Village to Global Village: Telecommunications for Development in the Information Age. Routledge, New York, USA.,.

Juan, L. and O. Gwun, 2009. A comparison of SIFT, PCA-SIFT and SURF. Int. J. Image Process., 3: 143-152.
Direct Link  |  

Kadir, T., A. Zisserman and M. Brady, 2004. An Affine Invariant Salient Region Detector. In: Comptuter Vision (ECCV'04), Pajdla, T. and J. Matas (Eds.). Prague, Springer, Springer Berlin, Heidelberg, ISBN: 978-3-540-21984-2, pp: 228-241.

Ke, Y. and R. Sukthankar, 2004. PCA-SIFT: A more distinctive representation for local image descriptors. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’04) Vol. 2, June 27-July 2, 2004, IEEE, Washington, DC., USA., pp: II-506-II-513.

Kerautret, B., J.O. Lachaud and B. Naegel, 2008. Comparison of discrete curvature estimators and application to corner detection. Proceedings of the International Symposium on Visual Computing, December 12-14, 2008, Springer, Las Vegas, USA., pp: 710-719.

Khan, N., B. McCane and S. Mills, 2015. Better than SIFT?. Mach. Vision Appl., 26: 819-836.
CrossRef  |  Direct Link  |  

Kokkinos, I., 2010. Highly accurate boundary detection and grouping. Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, IEEE, San Francisco, California, pp: 2520-2527.

Kolesnikov, A. and P. Franti, 2007. Polygonal approximation of closed discrete curves. Pattern Recognit., 40: 1282-1293.
CrossRef  |  Direct Link  |  

Leutenegger, S., M. Chli and R.Y. Siegwart, 2011. BRISK: Binary robust invariant scalable keypoints. Proceedings of the 2011 International Conference on Computer Vision, November 6-13, 2011, IEEE, Barcelona, Spain, pp: 2548-2555.

Li, B., R. Xiao, Z. Li, R. Cai, B.L. Lu and L. Zhang, 2011. Rank-SIFT: Learning to rank repeatable local interest points. Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR’2011), June 20-25, 2011, IEEE, Providence, Rhode Island, pp: 1737-1744.

Li, Y., S. Wang, Q. Tian and X. Ding, 2015. A survey of recent advances in visual feature detection. Neurocomputing, 149: 736-751.
CrossRef  |  Direct Link  |  

Lim, J.J., C.L. Zitnick and P. Dollar, 2013. Sketch tokens: A learned mid-level representation for contour and object detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, IEEE, Portland, Oregon, USA., pp: 3158-3165.

Lowe, D.G., 2004. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 60: 91-110.
CrossRef  |  Direct Link  |  

Mainali, P., Q. Yang, G. Lafruit, L. Van Gool and R. Lauwereins, 2011. Robust low complexity corner detector. IEEE Trans. Circuits Syst. Video Technol., 21: 435-445.
CrossRef  |  Direct Link  |  

Mair, E., G.D. Hager, D. Burschka, M. Suppa and G. Hirzinger, 2010. Adaptive and generic corner detection based on the accelerated segment test. Proceedings of the European Conference on Computer Vision, September 5-11, 2010, Springer, Crete, Greece, pp: 183-196.

Mairal, J., M. Leordeanu, F. Bach, M. Hebert and J. Ponce, 2008. Discriminative sparse image models for class-specific edge detection and image interpretation. Proceedings of the European Conference on Computer Vision, October 12-18, 2008, Springer, Marseille, France, pp: 43-56.

Marimon, D., A. Bonnin, T. Adamek and R. Gimeno, 2010. DARTs: Efficient scale-space extraction of DAISY keypoints. Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, IEEE, San Francisco, California, pp: 2416-2423.

Martin, D.R., C.C. Fowlkes and J. Malik, 2004. Learning to detect natural image boundaries using local brightness, color and texture cues. IEEE. Trans. Pattern Anal. Mach. Intell., 26: 530-549.
CrossRef  |  Direct Link  |  

Masood, A., 2008. Dominant point detection by reverse polygonization of digital curves. Image Vision Comput., 26: 702-715.
CrossRef  |  Direct Link  |  

Matas, J., O. Chum, M. Urban and T. Pajdla, 2004. Robust wide-baseline stereo from maximally stable extremal regions. Image Vision Comput., 22: 761-767.
CrossRef  |  

McIlhagga, W., 2011. The canny edge detector revisited. Int. J. Comput. Vision, 91: 251-261.
CrossRef  |  Direct Link  |  

Mikolajczyk, K. and C. Schmid, 2001. Indexing based on scale invariant interest points. Proceedings of the 8th International Conference on Computer Vision, July 7-14, 2001, Vancouver, Canada, pp: 525-531.

Mikolajczyk, K. and C. Schmid, 2002. An affine invariant interest point detector. Proceedings of the 7th European Conference on Computer Vision-Part I, LNCS 2350, May 28-31, 2002, Springer-Verlag, UK., pp: 128-142.

Mikolajczyk, K. and C. Schmid, 2004. Scale and affine invariant interest point detectors. Int. J. Comput. Vision, 60: 63-86.

Mikolajczyk, K.I. and C. Schmid, 2005. A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell., 27: 1615-1630.
CrossRef  |  Direct Link  |  

Miksik, O. and K. Mikolajczyk, 2012. Evaluation of local detectors and descriptors for fast feature matching. Proceedings of the 21st International Conference on Pattern Recognition (ICPR’2012), November 11-15, 2012, IEEE, Tsukuba, Japan, pp: 2681-2684.

Mokhtarian, F. and R. Suomela, 1998. Robust image corner detection through curvature scale space. IEEE Trans. Patern Anal. Machine Intell., 20: 1376-1381.
CrossRef  |  

Mukherjee, D., Q.J. Wu and G. Wang, 2015. A comparative experimental study of image feature detectors and descriptors. Mach. Vision Appl., 26: 443-466.
CrossRef  |  Direct Link  |  

Payet, N. and S. Todorovic, 2013. Sledge: Sequential labeling of image edges for boundary detection. Int. J. Comput. Vision, 104: 15-37.
CrossRef  |  Direct Link  |  

Philbin, J., O. Chum, M. Isard, J. Sivic and A. Zisserman, 2007. Object retrieval with large vocabularies and fast spatial matching. Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, June 17-22, 2007, IEEE, Minneapolis, Minnesota, pp: 1-8.

Pinheiro, A.M. and M. Ghanbari, 2010. Piecewise approximation of contours through scale-space selection of dominant points. IEEE. Trans. Image Process., 19: 1442-1450.
CrossRef  |  Direct Link  |  

Rattarangsi, A. and R.T. Chin, 1990. Scale-based detection of corners of planar curves. Proceedings of the 10th International Conference on Pattern Recognition, June 16-21, 1990, IEEE, Atlantic City, New Jersey, pp: 923-930.

Rosten, E., R. Porter and T. Drummond, 2008. Faster and better: A machine learning approach to corner detection. IEEE. Trans. Pattern Anal. Mach. Intell., 32: 105-119.
CrossRef  |  Direct Link  |  

Rublee, E., V. Rabaud, K. Konolige and G. Bradski, 2011. ORB: An efficient alternative to SIFT or SURF. IEEE Proceeding of the International Conference on Computer Vision (ICCV), November 6-13, 2011, Barcelona, pp: 2564-2571.

Sayed, U., S. Sadek and B. Michaelis, 2009. Two phases neural network-based system for pornographic image classification. Proceedings of the 5th International Conference on Sciences of Electronic, Technologies of Information and Telecommunications (SETIT’2009), March 22-26, 2009, Tunisia, pp: 1-6.

Shen, X., W. Wei and Q. Qian, 2010. A pornographic image filtering model based on erotic part. Proceedings of the 2010 3rd International Congress on Image and Signal Processing Vol. 5, October 16-18, 2010, IEEE, Yantai, China, pp: 2473-2477.

Shi, J. and C. Tomasi, 1994. Good features to track. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June 21-23, 1994, Seattle, WA., USA., pp: 593-600.

Shui, P.L. and W.C. Zhang, 2013. Corner detection and classification using anisotropic directional derivative representations. IEEE. Trans. Image Process., 22: 3204-3218.
CrossRef  |  Direct Link  |  

Smith, S.M. and J.M. Brady, 1997. SUSAN-A new approach to low level image processing. Int. J. Comput. Vision, 23: 45-78.
CrossRef  |  Direct Link  |  

Smith, S.M. and J.M. Brady, 1997. SUSAN-A new approach to low level image processing. Int. J. Comput. Vision, 23: 45-78.
CrossRef  |  Direct Link  |  

Tola, E., V. Lepetit and P. Fua, 2009. Daisy: An efficient dense descriptor applied to wide-baseline stereo. IEEE. Trans. Pattern Anal. Mach. Intell., 32: 815-830.
CrossRef  |  Direct Link  |  

Tomasi, C. and T. Kanade, 1991. Detection and tracking of point features. Technical Report CMU-CS-91-132, Carnegie Mellon University School of Computer Science Press, Pittsburgh, PA., USA.

Tsai, D.M., H.T. Hou and H.J. Su, 1999. Boundary-based corner detection using eigenvalues of covariance matrices. Pattern Recognit. Lett., 20: 31-40.
CrossRef  |  Direct Link  |  

Tuytelaars, T. and K. Mikolajczyk, 2008. Local invariant feature detectors: A survey. Foundat. Trends Comput. Graphics Vision, 3: 177-280.
CrossRef  |  

Tuytelaars, T. and L. van Gool, 2004. Matching widely separated views based on affine invariant regions. Int. J. Comput. Vision, 59: 61-85.
CrossRef  |  

Willis, A. and Y. Sui, 2009. An algebraic model for fast corner detection. Proceedings of the 12th International Conference on Computer Vision, September 29-October 2, 2009, IEEE, Kyoto, Japan, pp: 2296-2302.

Wu, J., Z. Cui, V.S. Sheng, P. Zhao and D. Su et al., 2013. A comparative study of SIFT and its variants. Meas. Sci. Rev., 13: 122-131.
CrossRef  |  Direct Link  |  

Xia, G.S., J. Delon and Y. Gousseau, 2014. Accurate junction detection and characterization in natural images. Int. J. Comput. Vision, 106: 31-56.
Direct Link  |  

Ybarra, M.L. and K.J. Mitchell, 2005. Exposure to internet pornography among children and adolescents: A national survey. Cyberpsychology Behav., 8: 473-486.
CrossRef  |  Direct Link  |  

Zaidan, A.A., H.A. Karim, N.N. Ahmad, B.B. Zaidan and A. Sali, 2013. An automated anti-pornography system using a skin detector based on artificial intelligence: A review. Int. J. Pattern Recognit. Artif. Intell., Vol. 27, 10.1142/S0218001413500122

Zhang, J., L. Sui, L. Zhuo, Z. Li and Y. Yang, 2013. An approach of bag-of-words based on visual attention model for pornographic images recognition in compressed domain. Neurocomputing, 110: 145-152.
CrossRef  |  Direct Link  |  

Zhang, X., H. Wang, A.W. Smith, X. Ling, B.C. Lovell and D. Yang, 2010. Corner detection based on gradient correlation matrices of planar curves. Pattern Recognit., 43: 1207-1223.
CrossRef  |  Direct Link  |  

Zhang, X., M. Lei, D. Yang, Y. Wang and L. Ma, 2007. Multi-scale curvature product for robust image corner detection in curvature scale space. Pattern Recognit. Lett., 28: 545-554.
CrossRef  |  Direct Link  |  

Zhao, Z. and A. Cai, 2010. Combining multiple SVM classifiers for adult image recognition. Proceedings of the 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, September 24-26, 2010, IEEE, Beijing, China, pp: 149-153.

Zhong, B., K.K. Ma and W. Liao, 2008. Scale-space behavior of planar-curve corners. IEEE. Trans. Pattern Anal. Mach. Intell., 31: 1517-1524.
CrossRef  |  Direct Link  |  

Zhuo, L., J. Zhang, Y. Zhao and S. Zhao, 2013. Compressed domain based pornographic image recognition using multi-cost sensitive decision trees. Signal Process., 93: 2126-2139.
CrossRef  |  Direct Link  |  

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