Abstract
In some situations of considerable interest, images are found embedded within documents. For example HTML, Word, Powerpoint, Framemaker, LATEX, and other document layout languages all permit the inclusion of images. Therefore, the World Wide Web, and other archives of documents in these formats, often contain images within the context of text relevant to the content of the images. Since magazines and newspapers typically contain many photographs and other images, archives of the images in these publications may preserve the associated text along with the photographs.
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References
Amit, Y and Geman, D, “Shape Quantization and Recognition with Randomized Trees”, Neur Comput, 9, pp. 1545–1588, 1987.
Brin, S and Page, L, “The Anatomy of a Large-Scale Hypertextual Web Search Engine”, Proc. 7th Annual World Wide Web Conference (WWW7), 1998.
Chan, Y, Harvey, R, and Smith, D, “Building Systems to Block Pornography”, Proc. 2nd UK Conf. on Image Retrieval, 1999.
Frankel, C, Swain, MJ, and Athitsos, V, “WebSeer, an Image Search Engine for the World Wide Web”, Technical Report TR-96-14, Department of Computer Science, University of Chicago, 1996.
Freund, Y and Schapire, RE, “Experiments with a New Boosting Algorithm”, Proc. Thirteenth International Conference on Machine Learning (ICML-98), 1996.
Freund, Y and Schapire, RE, “A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting”, J Computer Syst Sci, 55, pp. 119–139, 1997.
Jones, MJ and Rehg, JM, “Statistical Color Models with Application to Skin Detection”, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR-99), 1999.
Kleinberg, JM, “Authoritative Sources in a Hyperlinked Environment”, Proc. 9th ACM-SIAM Symposium on Discrete Algorithms, 1998.
Robertson, SE and Sparck Jones, K, “Simple, Proven Approaches to Text Retrieval”, Technical Report 356, University of Cambridge Computer Laboratory, 1997.
Rowe, NC and Frew, B, “Automatic Caption Localization for Photographs on World Wide Web Pages”, Inform Process Manag, 34, pp. 95–107, 1998.
Rowley, H, Baluja, S, and Kanade, T, “Neural Network-Based Face Detection”, IEEE Trans Patt Anal Mach Intell, 20, pp. 23–38, 1998.
Rowley, J, Baluja, S, and Kanade, T, “Rotation Invariant Neural Network-Based Face Detection”, Technical Report CMU-CS-97-201, Computer Science Department, Carnegie Mellon University, 1997.
Schapire, RE, “A Brief Introduction to Boosting”, Proc. Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99), 1999.
Smith, JR and Chang, SF, “Searching for Images and Videos on the World Wide Web”, Technical Report 459-96-25, Center for Telecommunications Research, Columbia University, 1996.
Wu, Z, Manmatha, R, and Riseman, E, “Finding Text in Images”, Proc. 2nd ACM Int. Conf. on Digital Libraries, 1997.
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Athitsos, V., Frankel, C., Swain, M.J. (2001). Integrating Analysis of Context and Image Content. In: Lew, M.S. (eds) Principles of Visual Information Retrieval. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-3702-3_11
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DOI: https://doi.org/10.1007/978-1-4471-3702-3_11
Publisher Name: Springer, London
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