Content-based retrieval using a multiobjective genetic algorithm - Versionsgeschichte

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== Referenz ==
K. D. Tran: Content-based retrieval using a multiobjective genetic algorithm. In IEEE SoutheastCon, pages 561-569, april 2005.

== DOI ==
http://dx.doi.org/10.1109/SECON.2005.1423306

== Abstract ==
Content-based retrieval from multimedia databases is an important multimedia research area where traditional keyword-based approaches are not adequate. Multimedia data is significantly different from alphanumeric data because multimedia data is generally meaningless to a human and multimedia objects are typically large. Moreover, the traditional keyword-based approaches require an enormous amount of human effort during manual annotation and maintaining the consistency of annotations throughout database evolution. Research on content-based retrieval focus on using low-level features like color and texture for image representation, and a geometric framework of distances in the feature space for similarity. However, systematic retrieval of the best matches in a large multimedia database requires exhaustive and exponential search and does not guarantee worst-case performance. In addition, it has been observed that certain image representation schemes perform better than others under certain query situations, and these schemes should be somehow integrated and adjusted on the fly to facilitate effective and efficient image retrieval. Some work has been done applying simple genetic algorithms for content-based retrieval to provide good, but not necessary optimal solutions. However, these simple genetic algorithms can find only one optimum solution in a single run. This research proposes a new content-based retrieval method based on a multi-objective genetic algorithm (MOGA), which is capable of finding multiple trade-off solutions in one run and providing a natural way for integrating multiple image representation schemes. This research focuses on structural similarity framework that addresses topological, directional and distance relations of image objects.

== Extended Abstract ==

== Bibtex ==
@INPROCEEDINGS{1423306,
author={Khoa Duc Tran},
booktitle={Proceedings. IEEE SoutheastCon, 2005.},
title={Content-based retrieval using a multi-objective genetic algorithm},
year={2005},
pages={561-569},
keywords={content-based retrieval;genetic algorithms;image representation;image retrieval;multimedia databases;query formulation;visual databases;MOGA;alphanumeric data;annotation consistency;content-based retrieval;database evolution;directional relations;distance relations;exponential search;feature space;geometric distance framework;human effort;image color;image objects;image representation;image retrieval;image texture;keyword-based approaches;low-level features;manual annotation;multi-objective genetic algorithm;multimedia data;multimedia databases;multimedia objects;multiple image representation scheme integration;query situations;similarity;structural similarity framework;systematic retrieval;topological relations;trade-off solutions;worst-case performance;Content based retrieval;Genetic algorithms;Humans;Image representation;Image retrieval;Information retrieval;Multimedia databases;Multimedia systems;Performance evaluation;Prototypes},
doi={10.1109/SECON.2005.1423306},
url={http://dx.doi.org/10.1109/SECON.2005.1423306 http://de.evo-art.org/index.php?title=Content-based_retrieval_using_a_multiobjective_genetic_algorithm },
ISSN={1091-0050},
month={April},
}

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Abstract | Full Text: PDF (1855KB) | Full Text: HTML

== Links ==

=== Full Text ===

[[internal file]]

=== Sonstige Links ===

@@ Zeile 93: / Zeile 93: @@
 M. Tanaka, H. Watanabe, Y. Furukawa and T. Tantrio, "GA-based decision support system for multi-criteria, optimization", Proceedings of the International Conference on Systems, Man and Cybernetics-2
-K. D. Tran, "Elitist Non-Dominated Sorting GA-II (NSGA-II) as a Parameter-less Multi-Objective GA", presented at IEEE SoutheastCon 2005, Fort Lauderdale
+K. D. Tran, "Elitist Non-Dominated Sorting GA-II (NSGA-II) as a Parameter-less Multi-Objective GA", presented at IEEE SoutheastCon 2005, Fort Lauderdale http://dx.doi.org/10.1109/SECON.2005.1423273
 == Links ==

@@ Zeile 37: / Zeile 37: @@
 R. Zhao and W. I. Grosky, "Bridging the semanitic gap in image retrieval" in Distributed multimedia databases: techniques & applications, pp. 14-36, 2002, Idea Group Publishing
-K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, pp. 182-197, 2002
+K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, pp. 182-197, 2002 http://dx.doi.org/10.1109/4235.996017
-M. J. Egenhofer and R. D. Franzosa, "Point-set topological spatial relations", International Journal on Geographical Information Systems, vol. 5, pp. 161-174, 1991 [CrossRef]
+M. J. Egenhofer and R. D. Franzosa, "Point-set topological spatial relations", International Journal on Geographical Information Systems, vol. 5, pp. 161-174, 1991 http://dx.doi.org/10.1080/02693799108927841
 M. J. Egenhofer and J. Sharma, "Assessing the Consistency of Complete and Incomplete Topological Information", Geographical Systems, vol. 1, pp. 47-68, 1993
-S. Skiadopoulos and M. Koubarakis, "Composing Cardinal Directions Relations", Proceedings of the 7th International Symposium on Spatial and Temporal Databases (SSTD-01) [CrossRef]
+S. Skiadopoulos and M. Koubarakis, "Composing Cardinal Directions Relations", Proceedings of the 7th International Symposium on Spatial and Temporal Databases (SSTD-01) http://dx.doi.org/10.1007/3-540-47724-1_16
 D. Papadias, N. Arkoumanis and N. Karacapilidis, "On The Retrieval of Similar Configurations", Proceedings of 8th International Symposium on Spatial Data Handling (SDH)
-J. F. Allen, "Maintaining knowledge about temporal intervals", Communications of the ACM, vol. 26, pp. 832-843, 1983 [CrossRef]
+J. F. Allen, "Maintaining knowledge about temporal intervals", Communications of the ACM, vol. 26, pp. 832-843, 1983 http://dx.doi.org/10.1145/182.358434
-A. Yoshitaka and T. Ichikawa, "A Survey on Content-Based Retrieval for Multimedia Databases", IEEE Transaction on Knowledge and Data Engineering, vol. 11, pp. 81-93, 1999
+A. Yoshitaka and T. Ichikawa, "A Survey on Content-Based Retrieval for Multimedia Databases", IEEE Transaction on Knowledge and Data Engineering, vol. 11, pp. 81-93, 1999 http://dx.doi.org/10.1109/69.755617
-V. Delis, D. Papadias and N. Mamoulis, "Assessing multimedia similarity: a framework for structure and motion", Proceedings of the sixth ACM international conference on Multimedia [CrossRef]
+V. Delis, D. Papadias and N. Mamoulis, "Assessing multimedia similarity: a framework for structure and motion", Proceedings of the sixth ACM international conference on Multimedia http://dx.doi.org/10.1145/290747.290797
-C. Freksa, "Temporal Reasoning based on Semi Intervals", Artificial Intelligence, vol. 54, 1992 [CrossRef]
+C. Freksa, "Temporal Reasoning based on Semi Intervals", Artificial Intelligence, vol. 54, 1992 http://dx.doi.org/10.1016/0004-3702(92)90090-K
-A. Mackworth and E. Freuder, "The complexity of some polynomial network consistency algorithms for constraint satisfaction problems", Artificial Intelligence, vol. 25, pp. 65-74, 1985 [CrossRef]
+A. Mackworth and E. Freuder, "The complexity of some polynomial network consistency algorithms for constraint satisfaction problems", Artificial Intelligence, vol. 25, pp. 65-74, 1985 http://dx.doi.org/10.1016/0004-3702(85)90041-4
 K. Deb, "Genetic Algorithm in Search and Optimization: The Technique and Applications", Indian Institute of Technology, Kanpur, 1999
@@ Zeile 69: / Zeile 67: @@
 D. J. Schaffer, R. A. Caruana, L. J. Eshelman and R. Das, "A study of control parameters affecting online performance of Genetic Algorithms for function optimization", Proceedings of the third international conference on Genetic Algorithms
-S. Kato and S.-i. Iisaku, "An Image Retrieval Method Based on a Genetic Algorithm", 13th International Conference on Information Networking (ICOIN'98)
+S. Kato and S.-i. Iisaku, "An Image Retrieval Method Based on a Genetic Algorithm", 13th International Conference on Information Networking (ICOIN'98) http://dx.doi.org/10.1109/ICOIN.1998.648404
 J.-Y. Lee and S.-B. Cho, "Interactive Genetic Algorithm for Content-Based Image Retrieval", Proceeding of Asian Fuzzy Systems Symposium (AFSS'98)
@@ Zeile 76: / Zeile 73: @@
 D. E. Goldberg and K. Sastry, "A Practical Schema Theorem for Genetic Algorithm Design and Tuning", Proceedings of the Genetic and Evolutionary Computation Conference
-N. Beckmann, H. Kriegel, R. Schneider and B. Seeger, "The R*-tree: An Efficient and Robust Access Method for Points and Rectangles", Proceedings of the 1990 ACM SIGMOD International Conference on Management of Data [CrossRef]
+N. Beckmann, H. Kriegel, R. Schneider and B. Seeger, "The R*-tree: An Efficient and Robust Access Method for Points and Rectangles", Proceedings of the 1990 ACM SIGMOD International Conference on Management of Data http://dx.doi.org/10.1145/93597.98741
 K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms, 2001, John Wiley & Sons
-C. A. Coello, "An Updated Survey of GA-Based Multiobjective Optimization Techniques", ACM Computing Surveys, vol. 32, 2000 [CrossRef]
+C. A. Coello, "An Updated Survey of GA-Based Multiobjective Optimization Techniques", ACM Computing Surveys, vol. 32, 2000 http://dx.doi.org/10.1145/358923.358929
 C. A. Coello, "A Short Tutorial on Evolutionary Multiobjective Optimization", First International Conference on Evolutionary Multi-Criterion Optimization
@@ Zeile 90: / Zeile 87: @@
 K. Deb, "Evolutionary algorithms for multi-criterion optimization in engineering design", Proceeding Evolutionary Algorithms in Engineering and Computer Science (EUROGEN'99)
-N. Srinivas and K. Deb, "Multiple objective optimization using nondominated sorting in genetic algorithms", Evolutionary Computation, vol. 2, pp. 221-248, 1994 [CrossRef]
+N. Srinivas and K. Deb, "Multiple objective optimization using nondominated sorting in genetic algorithms", Evolutionary Computation, vol. 2, pp. 221-248, 1994 http://dx.doi.org/10.1162/evco.1994.2.3.221
 T. Ray, T. Kang and S. Chye, "Muttiobjective design optimization by an evolutionary algorithm", Engineering Optimization, 2002
@@ Zeile 98: / Zeile 95: @@
 K. D. Tran, "Elitist Non-Dominated Sorting GA-II (NSGA-II) as a Parameter-less Multi-Objective GA", presented at IEEE SoutheastCon 2005, Fort Lauderdale
      Abstract | Full Text: PDF (1855KB) | Full Text: HTML
 == Links ==