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Efficient region-based image retrieval

Published: 03 November 2003 Publication History

Abstract

Region-based image retrieval(RBIR) was recently proposed as an extension of content-based image retrieval(CBIR). An RBIR system automatically segments images into a variable number of regions, and extracts for each region a set of features. Then, a dissimilarity function determines the distance between a database image and a set of reference regions. Unfortunately, the large evaluation costs of the dissimilarity function are restricting RBIR to relatively small databases. In this paper, we apply a multi-step approach to enable region-based techniques for large image collections. We provide cheap lower and upper bounding distance functions for a recently proposed dissimilarity measure. As our experiments show, these bounding functions are so tight, that we have to evaluate the expensive distance function for less than 0.5\%of the images. For a typical image database with more than 370,000images, our multi-step approach improved retrieval performance by a factor of more than5 compared to the currently fastest methods.

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  • (2016)A review: Region of interest based image retrieval2016 Online International Conference on Green Engineering and Technologies (IC-GET)10.1109/GET.2016.7916731(1-6)Online publication date: Nov-2016
  • (2015)Content based image retrieval: A past, present and new feature descriptor2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]10.1109/ICCPCT.2015.7159404(1-7)Online publication date: Mar-2015
  • (2015)ROI image retrieval based on multiple features of mean shift and expectation-maximisationDigital Signal Processing10.1016/j.dsp.2015.01.00340:C(117-130)Online publication date: 1-May-2015
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cover image ACM Conferences
CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management
November 2003
592 pages
ISBN:1581137230
DOI:10.1145/956863
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 03 November 2003

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Author Tags

  1. CBIR
  2. RBIR
  3. region-based image retrieval

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Cited By

View all
  • (2016)A review: Region of interest based image retrieval2016 Online International Conference on Green Engineering and Technologies (IC-GET)10.1109/GET.2016.7916731(1-6)Online publication date: Nov-2016
  • (2015)Content based image retrieval: A past, present and new feature descriptor2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]10.1109/ICCPCT.2015.7159404(1-7)Online publication date: Mar-2015
  • (2015)ROI image retrieval based on multiple features of mean shift and expectation-maximisationDigital Signal Processing10.1016/j.dsp.2015.01.00340:C(117-130)Online publication date: 1-May-2015
  • (2014)Content-based image retrieval using extroverted semanticsNeural Computing and Applications10.1007/s00521-013-1410-224:7-8(1735-1748)Online publication date: 1-Jun-2014
  • (2014)PixSearcher: Searching Similar Images in Large Image Collections through Pixel DescriptorsAdvances in Visual Computing10.1007/978-3-319-14364-4_70(726-735)Online publication date: 2014
  • (2013)A content-based image retrieval system for echo images using SQL-based clustering approachThe Imaging Science Journal10.1179/1743131X11Y.000000004860:5(256-271)Online publication date: 12-Nov-2013
  • (2011)Content based image retrieval using combined featuresProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980043(102-105)Online publication date: 25-Feb-2011
  • (2011)Multifeature based retrieval of 2D and Color Doppler Echocardiographic images for clinical decision support2011 Malaysian Conference in Software Engineering10.1109/MySEC.2011.6140691(319-324)Online publication date: Dec-2011
  • (2010)Querying spatial patternsProceedings of the 13th International Conference on Extending Database Technology10.1145/1739041.1739092(418-429)Online publication date: 22-Mar-2010
  • (2010)A Review of Region-Based Image RetrievalJournal of Signal Processing Systems10.1007/s11265-008-0294-359:2(143-161)Online publication date: 1-May-2010
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