Asian Journal of Information Technology

Year: 2018
Volume: 17
Issue: 2
Page No. 98 - 113

Content-Based Image Retrieval Based on High Level Labels

Authors : Nasibeh Esmaeili Shahmirzadi and Ibrahim Chaoudi

References

Agarwal, S., A.K. Verma and P. Singh, 2013. Content based image retrieval using discrete wavelet transform and edge histogram descriptor. Proceedings of the 2013 International Conference on Information Systems and Computer Networks (ISCON), March 9-10, 2013, IEEE, Mathura, India, ISBN:978-1-4673-5987-0, pp: 19-23.

Antani, S., D.J. Lee, L.R. Long and G.R. Thoma, 2004. Evaluation of shape similarity measurement methods for spine X-ray images. J. Visual Commun. Image Represent., 15: 285-302.
Direct Link  |  

Balmashnova, E., B. Platel, L. Florack and T.H.B.M. Romeny, 2007. Content-based image retrieval by means of scale-space top-points and differential invariants. Proceedings of the MICCAI International Workshop on Medical Content-Based Image Retrieval for Biomedical Image Archives: Achievements, Problems and Prospects, October 29November-2, 2007, MICCAI, Brisbane, Queensland, Australia, pp: 83-92.

Bansal, R., L.H. Staib, D. Xu, H. Zhu and B.S. Peterson, 2007. Statistical analyses of brain surfaces using Gaussian random fields on 2-D manifolds. IEEE. Trans. Med. Imaging, 26: 46-57.
CrossRef  |  Direct Link  |  

Borji, A. and L. Itti, 2012. Exploiting local and global patch rarities for saliency detection. Proceedings of the 2012 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 16-21, 2012, IEEE, Providence, Rhode Island, USA., ISBN:978-1-4673-1226-4, pp: 478-485.

Borji, A. and L. Itti, 2013. State-of-the-art in visual attention modeling. IEEE. Trans. Pattern Anal. Mach. Intell., 35: 185-207.
CrossRef  |  Direct Link  |  

Brahmi, D. and D. Ziou, 2004. Improving CBIR systems by integrating semantic features. Proceedings of the 1st Canadian International Conference on Computer and Robot Vision, May 17-19, 2004, IEEE, London, Ontario, Canada, pp: 233-240.

Carneiro, G. and N. Vasconcelos, 2005. A database centric view of semantic image annotation and retrieval. Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 15-19, 2005, ACM, New York, USA., pp: 559-566.

Carneiro, G. and N. Vasconcelos, 2005. Formulating semantic image annotation as a supervised learning problem. Proceedings of the IEEE Computer Society International Conference on Computer Vision and Pattern Recognition Vol. 2, June 20-25, 2005, IEEE, San Diego, California, USA., ISBN:0-7695-2372-2, pp: 163-168.

Carneiro, G., A.B. Chan, P.J. Moreno and N. Vasconcelos, 2007. Supervised learning of semantic classes for image annotation and retrieval. IEEE. Trans. Pattern Anal. Mach. Intell., 29: 394-410.
CrossRef  |  Direct Link  |  

Cauvin, J.M., L.C. Guillou, B. Solaiman, M. Robaszkiewicz and L.P. Beux et al., 2003. Computer-assisted diagnosis system in digestive endoscopy. IEEE. Trans. Inf. Technol. Biomed., 7: 256-262.
CrossRef  |  Direct Link  |  

Chaturvedi, N., S. Agarwal and P.K. Johari, 2014. A novel approach of image retrieval based on texture. Intl. J. Enhanced Res. Manage. Comput. Appl., 3: 42-48.
Direct Link  |  

Comaniciu, D., P. Meer and D.J. Foran, 1999. Image-guided decision support system for pathology. Mach. Vision Appl., 11: 213-224.
Direct Link  |  

Doyle, S., M. Hwang, S. Naik, M. Feldman and J. Tomaszeweski et al., 2007. Using manifold learning for content-based image retrieval of prostate histopathology. Proceedings of the 2007 MICCAI International Workshop on Content-Based Image Retrieval for Biomedical Image Archives: Achievements, Problems and Prospects, October 29-Novembeb 2, 2007, MICCAI, Brisbane, Queensland, Australia, pp: 53-62.

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  |  

Gevers, T. and A.W. Smeulders, 2004. Content-Based Image Retrieval: An Overview. In: Emerging Topics in Computer Vision, Medioni, G. and S.B. Kang (Eds.). Prentice Hall, Upper Saddle River, New Jersey, USA., pp: 52-52.

Gletsos, M., S.G. Mougiakakou, G.K. Matsopoulos, K.S. Nikita, A.S. Nikita and D. Kelekis, 2003. A computer-aided diagnostic system to characterize CT focal liver lesions: Design and optimization of a neural network classifier. IEEE Trans. Inform. Technol. Biomed., 7: 153-162.
PubMed  |  

Golland, P., W.E.L. Grimson, M.E. Shenton and R. Kikinis, 2005. Detection and analysis of statistical differences in anatomical shape. Med. Image Anal., 9: 69-86.
CrossRef  |  

Guld, M.O., C. Thies, B. Fischer and T.M. Lehmann, 2005. Content-Based Retrieval of Medical Images by Combining Global Features. In: Accessing Multilingual Information Repositories, Peters, C. (Ed.). Springer, Berlin, Germany, pp: 702-711.

Hentschel, C., A. Nurnberger, I. Schmitt and S. Stober, 2006. Safire: Towards Standardized Semantic Rich Image Annotation. In: Adaptive Multimedia Retrieval, Marchand-Maillet, S., E. Bruno, A. Nurnberger and M. Detyniecki (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-71544-3, pp: 12-27.

Hill, P., A. Achim and D. Bull, 2012. The undecimated dual tree complex wavelet transform and its application to bivariate image denoising using a cauchy model. Processing of the 2012 19th IEEE International Conference on Image, September 30-October 3, 2012, IEEE, Orlando, Florida, USA., ISBN:978-1-4673-2534-9, pp: 1205-1208.

Huang, H.K., J.F. Nielsen, M.D. Nelson and L. Liu, 2005. Image-matching as a medical Diagnostic Support Tool (DST) for brain diseases in children. Computerized Med. Imaging Graphics, 29: 195-202.
Direct Link  |  

Hyvonen, E., M. Salminen and M. Junnila, 2004. Annotation of heterogeneous database content for the semantic web. Proceedings of the 4th International Workshop on Knowledge Markup and Semantic Annotation (SemAnnot 2004), November 8, 2004, University of Helsinki, Hiroshima, Finland, pp: 1-10.

Ion, A.L., L. Stanescu and D. Burdescu, 2007. Semantic based image retrieval using relevance feedback. Proceedings of the 2007 EUROCON International Conference on Computer as a Tool, September 9-12, 2007, IEEE, Warsaw, Poland, ISBN:978-1-4244-0812-2, pp: 303-310.

Kwak, D.M., B.S. Kim, O.K. Yoon, C.H. Park and J.U. Won et al., 2002. Contentā€Based ultrasound image retrieval using a coarse to fine approach. Ann. New York Acad. Sci., 980: 212-224.
CrossRef  |  Direct Link  |  

Laaksonen, J., M. Koskela, S. Laakso and E. Oja, 2001. Self-organising maps as a relevance feedback technique in content-based image retrieval. Pattern Anal. Appl., 4: 140-152.
Direct Link  |  

Lim, J.H. and J.P. Chevallet, 2005. Vismed: A Visual Vocabulary Approach for Medical Image Indexing and Retrieval. In: Information Retrieval Technology, Geunbae, G.L., Y. Akio, M. Helen and H.M. Sung (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-29186-2, pp: 84-96.

Liu, G.H. and J.Y. Yang, 2013. Content-based image retrieval using color difference histogram. Pattern Recognit., 46: 188-198.
Direct Link  |  

Lu, Y., C. Hu, X. Zhu, H. Zhang and Q. Yang, 2000. A unified framework for semantics and feature based relevance feedback in image retrieval systems. Proceedings of the 8th ACM International Conference on Multimedia, October 30, 2000, ACM, New York, USA., pp: 31-37.

Lubbers, K., D.A.P. Vries, T. Huibers and V.D.P. Vet, 2004. A Probabilistic Approach to Medical Image Retrieval. In: Multilingual Information Access for Text, Speech and Images, Peters, C., P. Clough, J. Gonzalo, G.J.F. Jones and M. Kluck et al (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-27420-9, pp: 761-772.

Mao, J. and A.K. Jain, 1992. Texture classification and segmentation using multiresolution simultaneous autoregressive models. Pattern Recognition, 25: 173-188.
CrossRef  |  

Muller, H., W. Muller, D.M.G. Squire, S. Marchand-Maillet and T. Pun, 2001. Performance evaluation in content-based image retrieval: Overview and proposals. Pattern Recog. Lett., 22: 593-601.
CrossRef  |  

Panagi, P. and S. Dasiopoulou, 2006. A learning approach to semantic image analysis. Proceedings of 2nd International Conference on Mobile Communications, September 18-20, 2006, ACM, Alghero, Italy, pp: 1-6.

Petrakis, E.G., K. Kontis, E. Voutsakis and E.E. Milios, 2006. Relevance feedback methods for logo and trademark image retrieval on the web. Proceedings of the 2006 ACM International Symposium on Applied Computing, April 23-27, 2006, ACM, New York, USA., ISBN:1-59593-108-2, pp: 1084-1088.

Pokrajac, D., V. Megalooikonomou, A. Lazarevic, D. Kontos and Z. Obradovic, 2005. Applying spatial distribution analysis techniques to classification of 3D medical images. Artif. Intell. Med., 33: 261-280.
Direct Link  |  

Puviarasan, N., R. Bhavani and A. Vasanthi, 2014. Image retrieval using combination of texture and shape features. Intl. J. Adv. Res. Comput. Commun. Eng., 3: 5873-5877.
Direct Link  |  

Qian, X. and H.D. Tagare, 2005. Optimal Embedding for Shape Indexing in Medical Image Databases. In: Medical Image Computing and Computer-Assisted Intervention, Duncan, J.S. and G. Gerig (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-29326-2, pp: 377-384.

Rahman, M.M., P. Bhattacharya and B.C. Desai, 2007. A framework for medical image retrieval using machine learning and statistical similarity matching techniques with relevance feedback. IEEE. Trans. Inf. Technol. Biomed., 11: 58-69.
CrossRef  |  PubMed  |  Direct Link  |  

Sasso, G., H.R. Marsiglia, F. Pigatto, A. Basilicata and M. Gargiulo et al., 2005. A visual query-by-example image database for chest CT images: Potential role as a decision and educational support tool for radiologists. J. Digital Imaging, 18: 78-84.
Direct Link  |  

Shah-Hosseini, A., 2007. Semantic image retrieval using relevance feedback and transaction logs. Ph.D Thesis, Louisiana State University, Baton Rouge, Louisiana.

Shevade, B. and H. Sundaram, 2003. Vidya: An experiential annotation system. Proceedings of the 2003 ACM SIGMM International Workshop on Experiential Telepresence, November 7, 2003, ACM, New York, USA., pp: 91-98.

Shyu, C.R., C.E. Brodley, A.C. Kak, A. Kosaka and A.M. Aisen et al., 1999. ASSERT: A physician-in-the-loop content-based retrieval system for HRCT image databases. Comput. Vision Image Understanding, 75: 111-132.
Direct Link  |  

Smeulders, A.W., M. Worring, S. Santini, A. Gupta and R. Jain, 2000. Content-based image retrieval at the end of the early years. IEEE. Trans. Pattern Anal. Mach. Intell., 22: 1349-1380.
CrossRef  |  Direct Link  |  

Toews, M. and T. Arbel, 2007. A statistical parts-based model of anatomical variability. IEEE. Trans. Med. Imaging, 26: 497-508.
CrossRef  |  Direct Link  |  

Wang, Y. and W. Zhang, 2012. Coherence vector based on wavelet coefficients for image retrieval. Proceedings of the 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE) Vol. 2, May 25-27, 2012, IEEE, Zhangjiajie, China, ISBN:978-1-4673-0088-9, pp: 765-768.

Wenyin, L., S.T. Dumais, Y. Sun, H. Zhang and M. Czerwinski et al., 2001. Semi-Automatic Image Annotation. In: Human-Computer Interaction, Michitaka, H. (Ed.). IOS Press, Amsterdam, Netherlands, pp: 326-333.

Xu, Z., X. Xu, K. Yu and V. Tresp, 2003. A Hybrid Relevance-Feedback Approach to Text Retrieval. In: Advances in Information Retrieval, Sebastiani, F. (Ed.). Springer, Berlin, Germany, ISBN:978-3-540-01274-0, pp: 281-293.

Yang, J., L. Wenyin, H. Zhang and Y. Zhuang, 2001. Thesaurus-aided approach for image browsing and retrieval. Proceedings of the ICME 2001 IEEE International Conference on Multimedia and Expo, August 22-25, 2001, IEEE, New York, USA., pp: 1135-1138.

Zhu, H., B.G. Goodyear, M.L. Lauzon, R.A. Brown and G.S. Mayer et al., 2003. A new local multiscale Fourier analysis for medical imaging. Med. Phys., 30: 1134-1141.
CrossRef  |  Direct Link  |  

Zhu, X., W. Liu, H. Zhang and L. Wu, 2000. Image retrieval and semiautomatic annotation scheme for large image databases on the web. Proceedings of the International Conference on Internet Imaging II Vol. 4311, December 27, 2000, SPIE, San Jose, California, USA., pp: 168-178.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved