Abstract
Current research in multimedia retrieval (MR) does not satisfactorily mirror research results from psychology revealing a different significance of certain characteristics of a media object to a query in terms of similarity. Although the relevance of user-controlled condition weights has been demonstrated, there is a lack of systems supporting users in setting these weights.
In this work, we present a relevance feedback based approach that supports users to set condition weights in order to retrieve results from the MR system that are consistent with their perception of similarity. Condition weights are learned by a machine based learning algorithm from user preferences based on a partially ordered set.
This is a preview of subscription content, log in via an institution to check access.
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
Salton, G., Buckley, C.: Improving Retrieval Performance by Relevance Feedback. Technical report, Ithaca, NY, USA (1988)
van Rijsbergen, C.J.: Information Retrieval. Butterworths, London (1979)
Codd, E.F.: A Database Sublanguage Founded on the Relational Calculus. In: SIGFIDET (ed.) ACM SIGFIDET Workshop on Data Description, Access and Control, pp. 35–61 (1971)
Date, C.J., Darwen, H.: A Guide to the SQL Standard, 3rd edn. Addison-Wesley, Reading (1993)
Zadeh, L.A.: Fuzzy Sets. Information and Control (8), 338–353 (1965)
Bruce, V., Green, P.R.: Visual Perception –physiology, psychology and ecology, 2nd edn. reprinted.Lawrence Erlbaum Associates Publishers, Hove and London (1993)
Selfridge, O.G.: Pandemonium. A paradigm for learning. The mechanics of thought processes (1959)
Salton, G., Fox, E.A., Wu, H.: Extended Boolean Information Retrieval. Commun. ACM 26(11), 1022–1036 (1983)
Lee, J.H.: Properties of Extended Boolean Models in Information Retrieval. In: SIGIR (ed.) SIGIR 1994: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 182–190. Springer–Verlag New York, Inc. (1994)
Birkhoff, G., von Neumann, J.: The Logic of Quantum Mechanics. Annals of Mathematics 37, 823–843 (1936)
Schmitt, I.: QQL: A DB&IR Query Language. The VLDB Journal 17(1), 39–56 (2008)
Schmitt, I.: Weighting in CQQL. Technical Report 4, Cottbus (2007)
Weikum, G.: DB&IR: both sides now. In: SIGMOD (ed.) SIGMOD 2007: Proceedings of the 2007 ACM SIGMOD international conference on Management of data, pp. 25–30. ACM, New York (2007)
Rowe, L.A., Jain, R.: ACM SIGMM retreat report on future directions in multimedia research. ACM Trans. Multimedia Comput. Commun. Appl. 1(1), 3–13 (2005)
Lowell Workshop: The Lowell Database Research Self Assessment. Technical report (2003)
Fagin, R., Wimmers, E.L.: A Formula for Incorporating Weights into Scoring Rules. Special Issue of Theoretical Computer Science (239), 309–338 (2000)
Craik, K.J.W.: The Nature of Explanation. Cambridge University Press, Cambridge (1943)
Preece, J., Rogers, Y., Sharp, H.: Interaction design: Beyond human–computer interaction. Wiley, New York (2002)
Shneiderman, B., Plaisant, C.: Designing the user interface: Strategies for effective human–computer interaction, 4th edn. Pearson, Boston (2005)
Ciaccia, P., Montesi, D., Penzo, W., Trombetta, A.: Imprecision and User Preferences in Multimedia Queries: A Generic Algebraic Approach. In: Schewe, K.-D., Thalheim, B. (eds.) FoIKS 2000. LNCS, vol. 1762, pp. 50–71. Springer, Heidelberg (2000)
Schmitt, I., Schulz, N.: Similarity Relational Calculus and its Reduction to a Similarity Algebra. In: Seipel, D., Turull-Torres, J.M.a. (eds.) FoIKS 2004. LNCS, vol. 2942, pp. 252–272. Springer, Heidelberg (2004)
Nelder, J.A., Mead, R.: A simplex method for function minimization. Computer Journal 7, 308–313 (1965)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zellhöfer, D., Schmitt, I. (2010). A Poset Based Approach for Condition Weighting. In: Detyniecki, M., Leiner, U., Nürnberger, A. (eds) Adaptive Multimedia Retrieval. Identifying, Summarizing, and Recommending Image and Music. AMR 2008. Lecture Notes in Computer Science, vol 5811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14758-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-14758-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14757-9
Online ISBN: 978-3-642-14758-6
eBook Packages: Computer ScienceComputer Science (R0)