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CORE: a content-based retrieval engine for multimedia information systems

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Abstract

Rapid advances in multimedia technology necessitate the development of a generic multimedia information system with a powerful retrieval engine for prototyping multimedia applications. We develop a content-based retrieval engine (CORE) that makes use of novel indexing techniques for multimedia object retrieval. We formalize the concepts related to multimedia information systems such as multimedia objects and content-based retrieval. We bring out the requirements and challenges of a multimedia information system. The architecture of CORE is described in detail along with the associated retrieval mechanisms and indexing techniques. Various modules developed for efficient retrieval are presented with some APIs. The efficacy of CORE is demonstrated in the development of two multimedia systems, a computer-aided facial image inference and retrieval (CAFIIR) system and a system for trademark archival and retrieval (STAR), which have been developed at the Institute of Systems Science (ISS). We expect that CORE will be useful for effective prototyping of other such multimedia applications.

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References

  1. Bach J, Paul S, Jain R (1993) A visual information management system for the interactive retrieval of faces. IEEE Trans Knowledge Data Eng 5:619–628

    Google Scholar 

  2. Bandemer H, Nather W (1992) Fuzzy data analysis Kluwer Academic, Dordrecht

    Google Scholar 

  3. Berra PB, Chen CYR, Ghafoor A, Lin CC, Little TDC, Shin D (1990) Architecture for distributed multimedia database systems. Comput Commun 13:217–231

    Google Scholar 

  4. Binaghi E, Ventura AD, Rampini A, Schettini R (1993) Fuzzy reasoning approach to similarity eEvaluation in image analysis (1993) Int J Intelligent Syst 8: 749–769

    Google Scholar 

  5. Chang S, Fu KS (1980) Query by pictorial example. IEEE Trans Software Eng 6:519–524

    Google Scholar 

  6. Chang S, Fu KS (1981) Picture query languages for pictorial database systems. IEEE Computer 14:23–33

    Google Scholar 

  7. Chang SK, Hsu A (1992) Image information systems: where do we go from here? IEEE Trans Knowledge Data Eng 4:431–442

    Google Scholar 

  8. Chang SK, Yan C, Dimitroff DC, Arndt T (1988) An intelligent image database system. IEEE Trans Software Eng 14: 681–688

    Google Scholar 

  9. Desai AN (1994) Model and architecture for multimedia information systems. Real World Computing Technical Report RWC Novel Function Institute of Systems Science Laboratory, Singapore, pp 10–24

    Google Scholar 

  10. Fayyad UM, Smyth P (1993) Image database exploration: progress and challenges. Proceedings of the AAAI Workshop on Knowledge Discovery in Databases, pp 100–108

  11. Gao YJ, Lim JJ, Desai AN (1994) Fuzzy multilinkage thesaurus builder, Technical Report, Institute of Systems Science, National University of Singapore, Singapore

    Google Scholar 

  12. Grosky WI (1994) Multimedia information systems. IEEE Multimedia 12–24

  13. Grosky WI, Mehrotra R (1990) Index-based object recognition in pictorial data management. Comput Vis Graph Image Processing 52:416–436

    Google Scholar 

  14. Hornk K, Stinchocombe M, White H (1989) Multi-layer feedforward networks are universal approximators. Neural Networks 2:359–366

    Google Scholar 

  15. Jain Ramesh, NSF (1992) Workshop on visual information management systems, Workshop Report, Computer Science and Engineering Division, The University of Michigan, Ann Arbor, Mich

    Google Scholar 

  16. Kim K (1993) On object-oriented database technology. UniSQL, Technical Report 9390, Austin, Tex

  17. Kohonen T (1984) Self-organization and associative memory. Springer, Berlin Heidelberg New York

    Google Scholar 

  18. Li D, Liu D (1990) A fuzzy PROLOG database system. Research Studies Press Taunton, Somerset, England

    Google Scholar 

  19. Lim JJ (1992) Free text databases. Technical Report Institute of Systems Science, National University of Singapore, Singapore

    Google Scholar 

  20. McKeown D (1993) MAPS: the organization of a spatial database using imagery, terrain and map data. Technical Report CMU-CS-83-136, Carnegie-Mellon University, Pittsburgh

    Google Scholar 

  21. Mehtre BM, Kankanhalli MS, Desai AN, Man GC (1995) Color matching for image retrieval, Patt Recogn Lett (to appear)

  22. Pentland A, Picard RW, Sclaroff S, Photobook: tools for content based manipulation of image databases. SPIE Conference on Storage and Retrieval of Image and Video Databases II, 2195, FEB 1994, pp 1–13

  23. Petrakis EGM, Orphanoudakis SC (1993) Methodology for the representation, indexing and retrieval of images by content. Image Vis Comput 11:504–520

    Google Scholar 

  24. Smoliar SW, Zhang HJ (1994) Content-based video indexing and retrieval. IEEE Multimedia, 1:2, 62–72

    Google Scholar 

  25. Stonebraker M, Frew J, Dozier J (1993) The SEQUOIA 2000 project. Third International Symposium, SDD Springer Singapore, p 389

    Google Scholar 

  26. Swain MJ, Ballard DH (1991) Color indexing. Int J Comput Vis 7:11–32

    Google Scholar 

  27. Tversky A, Features of similarity. Psychol Rev 84:327–352

  28. Wu JK (1990) LEP — a neural network model learning based on experiences and perspectives. International Conference on Neural Networks, Paris p 389

  29. Wu JK (1994) Neural networks and simulation. Marcel Dekker, New York

    Google Scholar 

  30. Wu JK (1994) Indexing complex feature using LEP neural network. Real World Computing Symposium, Tokyo, pp40–43

  31. Wu JK, Desai AN (1993) Fuzzy retrieval of image databases. Proceedings of the First Asian Fuzzy Systems Symposium, Singapore, pp41–49

  32. Wu JK, Desai AN (1994) Fuzzy content-based image databases, submitted to Information Processing and Management, Singapore

  33. Wu JK, Gao F, Yang P (1992) Model-based 3D object recognition. Proceedings of the Second International Conference on Automation, Robotics and Computer Vision, Singapore, pp 221–226

    Google Scholar 

  34. Wu JK, Ang YH, Lam CP, Loh HH, Desai AN (1994) Inference and retrieval of facial images. ACM Multimedia J 2:1–14

    Google Scholar 

  35. Wu JK, Mehtre BM, Gao YJ, Lam PC, Desai AN (1994) STAR — a multimedia database system for trademark registration. Applications of Databases, Lecture Notes in Computer Science, Vol 819. In: Witold Litwin and Tore Risch (eds) Proceedings of the 1st International Conference, ADB-94, Vadstena, Sweden. Srpringer Berlin Heidleberg New York, pp 109–122

    Google Scholar 

  36. Yoshitaka A, Kishida S, Hirakawa M, Ichikawa T (1994) Knowledge-assisted content-based retrieval for multimedia databases. Proceedings of the International Conference on Multimedia Computing and Systems, Boston, Mass. pp 131–139

  37. Zink A, Jaffe CC (1993) Medical imaging databases. Invest Radiol 28:366–372

    Google Scholar 

  38. Zimmermann HJ (1985) Fuzzy set theory — and its applications Kluwer-Nijhoff

Download references

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Correspondence to J. K. Wu.

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Mainly supported by National Science & Technology Board of Singapore

Partly working in Real World Computing Partnership, Novel Function Institute of Systems Science Laboratory since April 1994.

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Wu, J.K., Narasimhalu, A.D., Mehtre, B.M. et al. CORE: a content-based retrieval engine for multimedia information systems. Multimedia Systems 3, 25–41 (1995). https://doi.org/10.1007/BF01236577

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