Abstract
The paper addresses the issue of finding the best content-based image retrieval measures. First, the authors describe several image descriptors that have been used for image feature extraction. Then, the detailed description of a query by example psycho-physical experiment is presented. The paper concludes with the analysis of the results obtained.
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.
Similar content being viewed by others
References
Nist/sematech e-handbook of statistical methods
Arasu, A., Ganti, V., Kaushik, R.: Efficient exact set-similarity joins. In: Proceedings of VLDB 2006 (2006)
Manjunath, B.S., Salembier, P., Sikora, T.: Introduction to MPEG-7: Multimedia Content Description Interface. John Wiley and Sons Ltd., Chichester (2002)
Graffi, K., Kovacevic, A., Steinmetz, R.: Towards an information and efficiency management architecture for peer-to-peer systems based on structured overlays. Technical report, Multimedia Communications Lab KOM, Technische Universitaet Darmstadt (2008)
Hermes, T., Miene, A., Herzog, O.: Graphical Search for Images by PictureFinder. Multimedia Tools and Applications. Special Issue on Multimedia Retrieval Algorithmics (2005)
ISO/IEC. Information technology – multimedia content description interface. ISO/IEC 15938
Li, Y.: Object and concept recognition for content-based image retrieval. PhD thesis, University of Washington (2005)
Mademlis, A., Daras, P., Tzovaras, D., Strintzis, M.G.: 3d volume watermarking using 3d krawtchouk moments. In: VISAPP (1), pp. 280–283 (2007)
Ndjiki-Nya, P., Restat, J., Meiers, T., Ohm, J.R., Seyferth, A., Sniehotta, R.: Subjective evaluation of the MPEG-7 retrieval accuracy measure (ANMRR). Technical report, ISO/ WG11 MPEG Meeting, 200
Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and trecvid. In: MIR 2006: Proceedings of the 8th ACM international workshop on Multimedia information retrieval (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Fraczek, R. et al. (2010). Ground-Truth-Less Comparison of Selected Content-Based Image Retrieval Measures. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-12630-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12629-1
Online ISBN: 978-3-642-12630-7
eBook Packages: Computer ScienceComputer Science (R0)