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Article

Improving image retrieval effectiveness via multiple queries

Authors:

James C. FrenchAuthors Info & Claims

MMDB '03: Proceedings of the 1st ACM international workshop on Multimedia databases

Pages 86 - 93

https://doi.org/10.1145/951676.951692

Published: 07 November 2003 Publication History

Abstract

Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the cluster hypothesis. However, semantically related images are often scattered across several visual clusters. Although traditional Content-based Image Retrieval (CBIR) technologies may utilize the information contained in multiple queries (gotten in one step or through a feedback process), this is only a reformulation of the original query. As a result these strategies only get the images in some neighborhood of the original query as the retrieval result. This severely restricts the system performance. Relevance feedback techniques are generally used to mitigate this problem. In this paper, we present a novel approach to relevance feedback which can return semantically related images in different visual clusters by merging the result sets of multiple queries. Further research topics, such as achieving candidate queries' visual diversity, are also discussed. We also provide experimental results to demonstrate the effectiveness of our approach.

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Cited By

Dange BYadav SKshirsagar D(2020)Enhancing Image Retrieval and Re-ranking Efficiency using Hybrid approach2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC)10.1109/ICSIDEMPC49020.2020.9299579(20-26)Online publication date: 30-Oct-2020
https://doi.org/10.1109/ICSIDEMPC49020.2020.9299579
Kshirsagar DKulkarni U(2016)A generalized Neuro-Fuzzy Based Image Retrieval system with modified colour coherence vector and Texture element patterns2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)10.1109/ICAECCT.2016.7942558(68-75)Online publication date: Dec-2016
https://doi.org/10.1109/ICAECCT.2016.7942558
(2016)On interactive learning-to-rank for IRNeurocomputing10.1016/j.neucom.2016.03.084208:C(3-24)Online publication date: 5-Oct-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.03.084
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Index Terms

Improving image retrieval effectiveness via multiple queries
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
  2. Information systems applications
    1. Multimedia information systems
      1. Multimedia databases

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Published In

cover image ACM Conferences

MMDB '03: Proceedings of the 1st ACM international workshop on Multimedia databases

November 2003

102 pages

ISBN:1581137265

DOI:10.1145/951676

Program Chairs:
Shu-Ching Chen
Florida International University, USA
,
Mei-Ling Shyu
University of Miami, USA

Copyright © 2003 ACM.

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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Published: 07 November 2003

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Cited By

Dange BYadav SKshirsagar D(2020)Enhancing Image Retrieval and Re-ranking Efficiency using Hybrid approach2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC)10.1109/ICSIDEMPC49020.2020.9299579(20-26)Online publication date: 30-Oct-2020
https://doi.org/10.1109/ICSIDEMPC49020.2020.9299579
Kshirsagar DKulkarni U(2016)A generalized Neuro-Fuzzy Based Image Retrieval system with modified colour coherence vector and Texture element patterns2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)10.1109/ICAECCT.2016.7942558(68-75)Online publication date: Dec-2016
https://doi.org/10.1109/ICAECCT.2016.7942558
(2016)On interactive learning-to-rank for IRNeurocomputing10.1016/j.neucom.2016.03.084208:C(3-24)Online publication date: 5-Oct-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.03.084
Barrena MCaro ADurán MRodríguez PArias-Nicolás JAlonso T(2015)Qatris iManagerMachine Vision and Applications10.1007/s00138-015-0672-326:4(423-442)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1007/s00138-015-0672-3
Thomee BLew M(2012)Interactive search in image retrieval: a surveyInternational Journal of Multimedia Information Retrieval10.1007/s13735-012-0014-41:2(71-86)Online publication date: 8-Jun-2012
https://doi.org/10.1007/s13735-012-0014-4
Bruns EBimber O(2010)Mobile Museum Guidance Using Relational Multi-Image Classification2010 4th International Conference on Multimedia and Ubiquitous Engineering10.1109/MUE.2010.5575082(1-8)Online publication date: Aug-2010
https://doi.org/10.1109/MUE.2010.5575082
Wang LLeung C(2010)A model for predicting image search engine behaviourThe 3rd International Conference on Information Sciences and Interaction Sciences10.1109/ICICIS.2010.5534815(306-311)Online publication date: Jun-2010
https://doi.org/10.1109/ICICIS.2010.5534815
Chen MChen S(2009)MMIRArtificial Intelligence for Maximizing Content Based Image Retrieval10.4018/978-1-60566-174-2.ch016(371-387)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-174-2.ch016
Thomee BHuiskes MBakker ELew M(2009)An exploration-based interface for interactive image retrieval2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis10.1109/ISPA.2009.5297746(188-193)Online publication date: Sep-2009
https://doi.org/10.1109/ISPA.2009.5297746
Castillo Juárez EPineda Torres ISomodevilla MMartín Ortíz M(2009)Query an Image Database by Segmentation and ContentProceedings of the 2009 Mexican International Conference on Computer Science10.1109/ENC.2009.39(127-134)Online publication date: 21-Sep-2009
https://dl.acm.org/doi/10.1109/ENC.2009.39
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