Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 20
Page No. 7627 - 7635

A Survey Automatic Image Annotation Based on Machine Learning Models

Authors : Myasar Mundher Adnan, Mohd Shafry Mohd Rahim, Siraj Muneer Khaleel and Karrar Al-Jawaheri

References

Alham, N.K., M. Li, Y. Liu and S. Hammoud, 2011. A mapreduce-based distributed SVM algorithm for automatic image annotation. Comput. Math. Appl., 6: 2801-2811.
CrossRef  |  Direct Link  |  

Bakliwal, P. and C.V. Jawahar, 2015. Active learning based image annotation. Proceedings of the 2015 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), December 16-19, 2015, IEEE, Patna, India, ISBN:978-1-4673-8564-0, pp: 1-4.

Bhargava, A., S. Shekhar and K.V. Arya, 2014. An object based image retrieval framework based on automatic image annotation. Proceedings of the 2014 9th International Conference on Industrial and Information Systems (ICIIS), December 15-17, 2014, IEEE, Gwalior, India, ISBN:978-1-4799-6499-4, pp: 1-6.

Cheng, Q., Q. Zhang, P. Fu, C. Tu and S. Li, 2018. A survey and analysis on automatic image annotation. Pattern Recognit., 79: 242-259.
CrossRef  |  Direct Link  |  

Chong, W., D. Blei and F.F. Li, 2009. Simultaneous image classification and annotation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition CVPR 2009, June 20-25, 2009, IEEE, Miami, Florida, ISBN:978-1-4244-3992-8, pp: 1903-1910.

Chu, G., K. Niu and B. Tian, 2014. Automatic image annotation combining SVMS and KNN algorithm. Proceedings of the 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS), November 27-29, 2014, IEEE, Shenzhen, China, ISBN:978-1-4799-4720-1, pp: 13-17.

Chua, T.S., J. Tang, R. Hong, H. Li and Z. Luo et al., 2009. NUS-WIDE: A real-world web image database from National University of Singapore. Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR '09), July 08-10, 2009, ACM, New York, USA., ISBN:978-1-60558-480-5, pp: 1-9.

Cusano, C., G. Ciocca and R. Schettini, 2003. Image annotation using SVM. Proceedings of the SPIE Conference on Internet Imaging Vol. 5304, December 15, 2003, SPIE, San Jose, California, USA., pp: 1-9.

Darwish, S.M., M.A. El-Iskandarani and G.M. Shawkat, 2016. Automatic multi-label image annotation system guided by firefly algorithm and bayesian classifier. Proceedings of the World Congress on Engineering (WCE 2016) Vol. 1, Jun 29-July 1, 2016, IAENG, Hong Kong, China, ISBN:978-988-14048-0-0, Page: 1-8.

Dietterich, T.G., 2000. Hierarchical reinforcement learning with the MAXQ value function decomposition. J. Artif. Intell. Res., 13: 227-303.
Direct Link  |  

Duygulu, P., K. Barnard, J.F.D. Freitas and D.A. Forsyth, 2002. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. Proceedings of the European Conference on Computer Vision, May 28-31, 2002, Springer, Copenhagen, Denmark, ISBN:978-3-540-43748-2, pp: 97-112.

Figueiredo, M.A.T., A. Vailaya, A.K. Jain and H.J. Zhang, 2001. Image classification for content-based indexing. IEEE Trans. Image Processing, 10: 117-130.
CrossRef  |  

Fu, J.C., 2014. An approach of image semantic automatic tagging based on SVM. Appl. Mech. Mater., 530: 382-385.
Direct Link  |  

Gao, Y.Y., Y.X. Yin and T. Uozumi, 2010. A Hierarchical image annotation method based on SVM and semi-supervised EM. Acta Automat. Sinica, 36: 960-967.
CrossRef  |  

Goh, K.S., E.Y. Chang and B. Li, 2005. Using one-class and two-class SVMs for multiclass image annotation. IEEE. Trans. Knowl. Data Eng., 17: 1333-1346.
CrossRef  |  Direct Link  |  

Han, Y. and X. Qi, 2005. A complementary SVMs-based image annotation system. Proceedings of the 2005 IEEE International Conference on Image Processing, September 14, 2005, IEEE, Genova, Italy, ISBN:0-7803-9134-9, pp: I-1185.

Hatem, Y., S. Rady, R. Ismail and K. Bahnasy, 2016. Automatic content description and annotation of sport images using classification techniques. Proceedings of the 10th International Conference on Informatics and Systems (INFOS '16), ACM, New York, USA, ISBN:978-1-4503-4062-5, pp: 88 94-10.1145/2908446.2908458.

Heller, K.A. and Z. Ghahramani, 2006. A simple Bayesian framework for content-based image retrieval. Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) Vol. 2, June 17-22, 2006, IEEE, New York, USA, ISBN:0-7695-2597-0, pp: 2110-2117.

Hunt, E., J. Martin and P. Stone, 1966. Experiments in Induction. Academic Press, New York.

Ivasic-Kos, M., I. Ipsic and S. Ribaric, 2014. Multi-level image annotation using bayes classifier and fuzzy knowledge representation scheme. WSEAS. Trans. Comput., 13: 635-644.

Jabal, M.F.A., M.S.M. Rahim, N.Z.S. Othman and Z. Jupri, 2009. A comparative study on extraction and recognition method of CAD data from cad drawings. Proceedings of the 2009 International Conference on Information Management and Engineering, April 3-5 2009, IEEE, Kuala Lumpur, Malaysia, pp: 709-713.

Jeon, J., V. Lavrenko and R. Manmatha, 2003. Automatic image annotation and retrieval using cross-media relevance models. Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval, July 28- August 01, 2003, ACM, Toronto, Canada, ISBN:1-58113-646-3, pp: 119-126.

Ji, Q., L. Zhang and Z. Li, 2017. KNN-based image annotation by collectively mining visual and semantic similarities. KSII. Trans. Internet Inf. Syst., 11: 4476-4490.

Jiang, L., J. Hou, Z. Chen and D. Zhang, 2009. Automatic image annotation based on decision tree machine learning. Proceedings of the 2009 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, October 10-11, 2009, IEEE, Zhangijajie, China, ISBN:978-1-4244-5218-7, pp: 170-175.

Jin, C. and S.W. Jin, 2017. A multi-label image annotation scheme based on improved SVM multiple kernel learning. Proceedings of the 8th International Conference on Graphic and Image Processing (ICGIP 2016) Vol. 10225, February 8, 2017, SPIE, Bellingham, Washington, pp: 1-6.

Kwasnicka, H. and M. Paradowski, 2006. Multiple class machine learning approach for an image auto-annotation problem. Proceedings of the 6th International Conference on Intelligent Systems Design and Applications Vol. 2, October 16-18, 2006, IEEE, Jinan, China, pp: 347-352.

Li, Z., L. Li, K. Yan and C. Zhang, 2015. Automatic image annotation based on fuzzy association rule and decision tree. Proceedings of the 7th International Conference on Internet Multimedia Computing and Service (ICIMCS '15), August 19-21, 2015, ACM, New York, USA, ISBN:978-1-4503-3528-7, pp: 1-6.

Lim, J.H., Q. Tian and P. Mulhem, 2003. Home photo content modeling for personalized event-based retrieval. IEEE. Multimedia, 10: 28-37.
CrossRef  |  Direct Link  |  

Liu, X., R. Liu, F. Li and Q. Cao, 2012. Graph-based dimensionality reduction for KNN-based image annotation. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), November 11-15, 2012, IEEE, Tsukuba, Japan, ISBN:978-1-4673-2216-4, pp: 1253-1256.

Maree, R., P. Geurts, J. Piater and L. Wehenkel, 2005. Random subwindows for robust image classification. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1, June 20-25, 2005, IEEE, San Diego, California, USA., ISBN:0-7695-2372-2, pp: 34-40.

Michie, D., D.J. Spiegelhalter and C.C. Taylor, 1994. Machine Learning, Neural and Statistical Classification. Ellis Horword, Chichester, England, ISBN:9780131063600, Pages: 289.

Mori, Y., H. Takahashi and R. Oka, 1999. Image-to-word transformation based on dividing and vector quantizing images with words. Proceedings of the 1st International Workshop on Multimedia Intelligent Storage and Retrieval Management, October 30, 1999, Orlando, Florida, pp: 1-9.

Patil, M.P. and S.R. Kolhe, 2014. Automatic image annotation using decision trees and rough sets. Intl. J. Comput. Sci. Appl., 11: 38-49.

Qi, X. and Y. Han, 2007. Incorporating multiple SVMs for automatic image annotation. Pattern Recognit., 40: 728-741.
CrossRef  |  Direct Link  |  

Rad, A.E., M.S.M. Rahim, A. Rehman and T. Saba, 2016. Digital dental X-ray database for caries screening. 3D Res., Vol. 7. 10.1007/s13319-016-0096-5

Rahim, M.S.M., A. Norouzi, A. Rehman and T. Saba, 2017. The 3D bones segmentation based on CT images visualization. Intl. J. Med. Sci., 28: 3641-3644.
Direct Link  |  

Rakhmadi, A., N.Z.S. Othman, A. Bade, M.S.M. Rahim and I.M. Amin, 2010. Connected component labeling using components neighbors-scan labeling approach. J. Comput. Sci., 6: 1099-1107.
Direct Link  |  

Rui, S., W. Jin and T.S. Chua, 2005. A novel approach to auto image annotation based on pairwise constrained clustering and semi-naive Bayesian model. Proceedings of the 11th International Conference on Multimedia Modelling, January 12-14, 2005, IEEE, Melbourne, Australia, ISBN:0-7695-2164-9, pp: 322-327.

Ruzinoor, C.M., A.R.M. Shariff, B. Pradhan, M.R. Ahmad and M.S.M. Rahim, 2012. A review on 3D terrain visualization of GIS data: Techniques and software. Geo-Spatial Inform. Sci., 15: 105-115.
CrossRef  |  

Shi, J. and J. Malik, 2000. Normalized cuts and image segmentation. IEEE. Trans. Pattern Anal. Mach. Intell., 22: 888-905.
CrossRef  |  Direct Link  |  

Simonyan, K. and A. Zisserman, 2014. Very deep convolutional networks for large-scale image recognition. J. Comput. Vision Pattern Recognit., 1: 1-14.
Direct Link  |  

Tian, D., 2015. Support vector machine for automatic image annotation. Intl. J. Hybrid Inf. Technol., 8: 435-446.
Direct Link  |  

Verma, Y. and C.V. Jawahar, 2012. Image annotation using metric learning in semantic neighbourhoods. Proceedings of the European Conference on Computer Vision, October 7-13, 2012, Springer, Berlin, Heidelberg, Germany, ISBN:978-3-642-33711-6, pp: 836-849.

Vincent, P., H. Larochelle, I. Lajoie, Y. Bengio and P.A. Manzagol, 2010. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res., 11: 3371-3408.
Direct Link  |  

Von Ahn, L. and L. Dabbish, 2004. Labeling images with a computer game. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '04), April 24-29, 2004, ACM, New York, USA., ISBN:1-58113-702-8, pp: 319-326.

Wan, S., 2011. Image annotation using the simple decision tree. Proceedings of the 2011 5th International Conference on Management of E-Commerce and E-Government, November 5-6, 2011, IEEE, Hubei, China, ISBN:978-1-4577-1659-1, pp: 141-146.

Wang, C., F. Jing, L. Zhang and H.J. Zhang, 2006. Image annotation refinement using random walk with restarts. Proceedings of the 14th ACM International Conference on Multimedia (MM '06), October 23-27, 2006, ACM, New York, USA, ISBN:1-59593-447-2, pp: 647-650.

Wei, Z., X. Luo and F. Zhou, 2013. Ontology based automatic image annotation using multi-class SVM. Proceedings of the 2013 7th International Conference on Image and Graphics (ICIG), July 26-28, 2013, IEEE, Qingdao, China, ISBN:978-0-7695-5050-3, pp: 434-438.

Xuelong, H., Z. Yuhui and Y. Li, 2007. A new method for semi-automatic image annotation. Proceedings of the 2007 8th International Conference on Electronic Measurement and Instruments, August 16-18, 2007, IEEE, Xi’an, China, ISBN:978-1-4244-1135-1, pp: 2-866.

Yang, Y., W. Zhang and Y. Xie, 2015. Image automatic annotation via multi-view deep representation. J. Visual Commun. Image Represent., 33: 368-377.
CrossRef  |  Direct Link  |  

Zhang, D., M.M. Islam and G. Lu, 2012. A review on automatic image annotation techniques. Pattern Recogn., 45: 346-362.
CrossRef  |  

Zhu, S., Z. Shi, C. Sun and S. Shen, 2015. Deep neural network based image annotation. Pattern Recognit. Lett., 65: 103-108.
CrossRef  |  Direct Link  |  

Zhu, S.C. and A. Yuille, 1996. Region competition: Unifying snakes, region growing and Bayes/MDL for multiband image segmentation. IEEE. Trans. Pattern Anal. Mach. Intell., 18: 884-900.
CrossRef  |  Direct Link  |  

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