Abstract
This paper proposed a method to find annotations corresponding to given CNN news documents for detecting terrorism image or context information. Assigning keywords or annotation to image is one of the important tasks to let machine understand web data written by human. Many techniques have been suggested for automatic image annotation in the last few years. Many researches focused on the method to extract possible annotation using low-level image features. This was the basic and traditional approach but it has a limitation that it costs lots of time. To overcome this problem, we analyze images and theirs co-occurring text data to generate possible annotations. The text data in the news documents describe the core point of news stories according to the given images and titles. Because of this fact, this paper applied text data as a resource to assign image annotations using TF (Term Frequency) value and WUP values of WordNet. The proposed method shows that text analysis is another possible technique to annotate image automatically for detecting unintended web documents.
Chapter PDF
Similar content being viewed by others
References
Carneiro, G., Chan, A.B., Moreno, P.J., Vasconcelos, N.: Supervised Learning of Semantic Classes for Image Annotation and Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 394–410 (2007)
Scheiber, A.T., Dubbeldam, B., Wielemaker, J., Wielinga, B.: Ontology-Based Photo Annotation. IEEE Intelligent Systems 16, 66–74 (2001)
Hollink, L., Schreiber, G., Wielemaker, J., Wielinga, B.: Semantic Annotation of Image Collections. In: Workshop on Knowledge Markup and Semantic Annotation, KCAP 2003 (2003)
Jeon, J., Lavrenko, V., Manmatha, R.: Automatic Image Annotation and Retrieval using Cross-Media Relevance Models. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2003)
Feng, Y., Lapata, M.: Topic Models for Image Annotation and Text Illustration. In: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 831–839 (2010)
Tirilly, P., Claveau, V., Gros, P.: News image annotation on a large parallel text-image corpus. In: 7th Language Resources and Evaluation Conference, pp. 2564–2569 (2010)
David, M.B., Jordan, M.I.: Modeling annotated data. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 127–134 (2003)
Lavrenko, V., Manmatha, R., Jeon, J.: A Model for Learning the Semantics of Pictures. In: Advances in Neural Information Processing Systems 16 NIPS (2004)
Barnard, K., Johnson, M.: Word sense disambiguation with pictures. Journal Artificial Intelligence 167, 13–30 (2005)
Deselaers, T., Ferrari, V.: Visual and Semantic Similarity in ImageNet. In: CVPR 2011 (2011)
Hwang, M., Choi, C., Kim, P.: Automatic Enrichment of Semantic Relation Network and Its Application to Word Sense Disambiguation. IEEE Transactions on Knowledge and Data Engineering 23(6), 845–858 (2011)
Hwang, M., Choi, D., Choi, J., Kim, H., Koo, P.: Similarity Measure for Semantic Document Interconnections. An International Interdisciplinary Journal 13(2), 253–267 (2010)
Fern, S., Stevenson, M.: A Semantic Similarity Approach to Paraphrase Detection. In: Computer and Information Science (2008)
Croft, W.B., Metzler, D., Strohman, T.: Search Engines: Information Retrieval in Practice
Choi, D., Kim, J., Kim, H., Hwang, M., Kim, P.: A Method for Enhancing Image Retrieval based on Annotation using Modified WUP Similarity in WordNet. In: 11th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (2012)
Hunker, J., Probst, C.W.: Insiders and Insider Threats-An Overview of Definitions and Mitigation Techniques. Journal of Wireless Mobile Networks, Ubiquitous Computing and Dependable Applications 2(1), 4–24 (2011)
Kiyomoto, S., Martin, K.M.: Model for a Common Notion of Privacy Leakage on Public Database. Journal of Wireless Mobile Networks, Ubiquitous Computing and Dependable Applications 2(1), 50–62 (2011)
Hwang, M., Choi, D., Kim, P.: A Method for Knowledge Base Enrichment using Wikipedia Document Information. An International Interdisciplinary Journal 13(5), 1599–1612 (2010)
Wu, Z., Palmer, M.: Verb Semantics and Lexical Selection. In: ACL 1994 Proceedings of the 32nd annual meeting on Association for Computational Linguistics, pp. 133–138 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 IFIP International Federation for Information Processing
About this paper
Cite this paper
Choi, D., Kim, P. (2012). Automatic Image Annotation Using Semantic Text Analysis. In: Quirchmayr, G., Basl, J., You, I., Xu, L., Weippl, E. (eds) Multidisciplinary Research and Practice for Information Systems. CD-ARES 2012. Lecture Notes in Computer Science, vol 7465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32498-7_36
Download citation
DOI: https://doi.org/10.1007/978-3-642-32498-7_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32497-0
Online ISBN: 978-3-642-32498-7
eBook Packages: Computer ScienceComputer Science (R0)