Abstract
Repositories of digital images are being built in a variety of domains and for many different tasks, both for personal and for public use. Automated assistance tries to alleviate the access and to assist users during image manipulation tasks. An effective and reliable image search system has many applications. In spite of the many works in this area of research, to build a reliable and effective system is still a challenge. In this article we provide a brief survey of different techniques used to assist users when they deal with large digital image repositories.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Smeulders, A., Worring, M., Satini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE transactions on patern analysis and machine intelligence 22(12) (December 2000)
Chen, Y., Li, J., Wang, J.: Machine Learning and Statistical Modeling Approaches to Image Retrieval. Kluwer Academic Publishers, Dordrecht (2004)
Remeco, C., Veltkamp, T.M.: Content-based Image retrieval Systems: A survey. technical report UU-CS-2000-34 (October 2002)
Datta, R., Ge, W., Li, J., Wang, J.: Toward Bridging the Annotation-Retrieval Gap in Image Search. In: Proceedings of ACM Multimedia Conference (Octobre 2006)
Rubner, Y.: Perceptual Metrics For Image Database Navigation A Ph.D. Dissertation submitted to the department of computer science of Stanford University (1999)
Li, J., Wang, J.: Real-Time Computerized Annotaion Of Pictures. In: Proceedings of ACM Multimedia Conference (Octobre 2006)
Li, J., Wang, J.: Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach. IEEE Transaction on Pattern Analysis and Machine Intelligence 25 (September 2003)
Cox, I.J., Minka, M.L.: The bayesian image retrieval system, PicHunter: Theory, implementation and psychophysical experiments. IEEE Transaction on Image Processing (2000)
Zhang, H., Rahmani, R., Cholleti, R., Goldman, S.: Local Image Representations Using Pruned Salient Points With Applications to CBIR. In: Proceedings of ACM Multimedia Conference (October 2006)
Wang, J., Li, J., Wiederhold, G.: SIMPLIcity: Semantic-Sensitive Integrated Matching for Picture LIbraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(9), 947–963 (2001)
Levina, E., Bickel, P.: The earth mover’s Distance is the Mallows distance: Some insights from statistics. In: International Conference on Computer vision. In: Vancouver (2001)
Coggins, J.M.: A framework for texture analysis based on spatial filtering Ph.D. thesis, computer science Department, Michigan state University, East Lansing, Michigan (1982)
Tuceryan, M.: Texture Analysis. In: Chen, C.H., Pau, L.F., Wang, P.S.P. (eds.) The Handbook of Pattern Recognition and Computer Vision, 2nd edn., pp. 207–248. World Scientific Publishing Co., Singapore (1998)
Rubner, Y., Tomasi, C., Guibas, L.J.: A Metric for distribution with Applications to Image Databases. In: Proceeding of International Conference on Computer Vision, Bombay, India, pp. 59–66 (January 1998)
Koskela, M., Laaksonen, S., Laakso, J., Oja, E.: Self-Organizing Maps as a Relevance Technique in Content-Based Image Retrieval Pattern Analysis & Applications (2001)
Chen, Y., Wang, J.: Image categorization by learning and reasoning with regions. Journal of machine learning Research, 913–939 (2004)
Hillel, A.B., Weinshall, D.: Learning Distance function by Learning similarity. In: 24th International Conference on Machine learning (June 2007)
Nelson, B., Cohen, I.: Revisiting Probabilistic Models for Clustering with Pair-wise Constraints. In: 24th International Conference on Machine learning (June 2007)
Huang, X., Chen, S.-C., Shu, M.-L., Zhang., C.: Learning and inferring a semantic space from user’s relevance feedback for image retrieval ACM. In: Multimedia (2002)
Manjunath, B.S., Ohm, J.-R., Vasudevan, V.V., Yamad, A.: Color and texture descriptors. IEEE Transaction Circuits and Systems for video Technology (2001)
Yang, Y., Liu, X.: A re-examination of text categorization methods. In: Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (1999)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Julien, C. (2008). Automatic Handling of Digital Image Repositories: A Brief Survey. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science(), vol 4994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68123-6_44
Download citation
DOI: https://doi.org/10.1007/978-3-540-68123-6_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68122-9
Online ISBN: 978-3-540-68123-6
eBook Packages: Computer ScienceComputer Science (R0)