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Pictorial information systems — prospects and problems

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14th Information Retrieval Colloquium

Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

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Abstract

While text retrieval systems are now commonplace, picture retrieval systems- particularly those capable of direct retrieval by shape feature or object position - are still a comparative rarity, perhaps surprisingly so in view of the growth of interest in multimedia databases. Has the development of sophisticated retrieval capabilities for pictorial information systems lagged behind because of inherent problems in providing them, or are they simply not needed?

This paper aims to answer the above question by reviewing some recentwork on pictorial information retrieval, including Chang’s lIDS (intelligent image database system), Rabitti & Stanchev’s GRIM_DBMS retrieval system, and the author’s own SAFARI system for engineering drawings. It discusses some ofthe lessons which can be drawn from these experimental systems in key areas such as image description and indexing, interface design, and the measurement of retrieval effectiveness. It proposes a taxonomy ofsuch systems, and examines some ofthe features that the next generation ofsuch systems should aim to provide.

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References

  • Barr, A (1981) “Superquadrics and angle-preserving transformations” IEEE Computer Graphics and Applications 1(1), 1–20

    Article  Google Scholar 

  • Chang, C C and Lee, S Y (1991) “Retrieval of similar pictures on pictorial databases” Pattern Recognition Chang, C C and Lee, S Y (1991) “Retrieval of similar pictures on pictorial databases” Pattern Recognition 24(7), 675–680

    Article  Google Scholar 

  • Chang, N Sand Fu, K S (1980) “A relational database system for images” pp 288–321 in Pictorial Information Systems(ed Chang, S K and Fu, K S), Springer-Verlag, Berlin

    Google Scholar 

  • Chang, S K et al (1977) “A relational database system for pictures” pp 142–149 in Proceedings of the IEEE Workshop on Picture Data Description and Management,Chicago, April 1977

    Google Scholar 

  • Chang, S K (1985) “Image information systems” Proceedings of the IEEE 73(4), 754–764

    Article  Google Scholar 

  • Chang, S K (1987) “Iconic semantics - towards a formal theory of icons” International Journal of Pattern Recognition and Anijiciallntelligence 1(1), 103–120

    Article  Google Scholar 

  • Chang, S K et al (1988) “An intelligent image database system” IEEE Transactions on Software Engineering 14(5),681–688

    Article  Google Scholar 

  • Chang, S K and Jungert, E (1991) “Pictorial data management based upon the theory of symbolic projections” Journal of Visual Languages and Computing 2,195–215

    Google Scholar 

  • Chock, M et al (1984) “Database structure and manipulation capabilities of a picture database management system (PICDMS)” IEEE Transactions on Pattern Analysis and Machine Intelligence 6(4), 484–492

    Article  Google Scholar 

  • Dixon, J R et al (1990) “Unresolved research issues in development of design-withfeatures systems” pp 183–196 in Geometric Modelling for Product Engineering (ed Wozny, M Jet al) Elsevier, Amsterdam

    Google Scholar 

  • Eakins, J P (1989) “SAFARI - a shape retrieval system for engineering drawings” pp 50–71 in Proceedings of 11 th BCS Information Retrieval Specialist Group Research Group Colloquium on Information Retrieval (ed Pollitt, A S)

    Google Scholar 

  • Eakins, J P (1990) “Design and evaluation of a shape retrieval system” PhD thesis, University of Newcastle upon Tyne

    Google Scholar 

  • Firschein, 0 and Fischler, M A (1971) “Describing and abstracting pictorial structures” Pattern Recognition 3, 421–443

    Article  Google Scholar 

  • Firschein, 0 and Fischler, M A (1972) “A study in descriptive representation of pictorial data” Pattern Recognition 4, 361- 377 Frasson, C and Er-Radi, M (1986) “Principles of an icons-based command language” SIGMOD Record 15(2), 144–152

    Article  Google Scholar 

  • Frasson, C and Er-Radi, M (1986) “Principles of an icons-based command language”SIGMOD Record 15(2), 144–152

    Article  Google Scholar 

  • Herot, C F (1980) “Spatial management of data” ACM Transactions on Database Systems 5(4),493–514

    Article  Google Scholar 

  • Horikoshi, T and Kasahara, H (1990) “A 3-D shape indexing language” pp 493–499 in Proceedings of 9th Annual Phoenix Conference on Computers and Communications, Los Alomitos, California

    Google Scholar 

  • IEEE (1985) “Computer graphics in the detective business” IEEE Computer Graphics and Applications 5(4), 14–17

    Google Scholar 

  • Ireton, M A and Xydeas, C S (1991) “Classification of shape for content retrieval of images in a multimedia database” pp 111–116 in Proceedings of 6th International Conference on Digital Processing of Signals in Communications

    Google Scholar 

  • Kato, O et al (1982) “Interactive hand-drawn input system” pp 544–549 in Proceedings of IEEE Computer Society Conference on Pattern Recognition and Image Processing (PRIP 82), Las Vegas, June 1982

    Google Scholar 

  • Kemper, A and Wallrath M (1987) “An object-oriented database system for engineering applications” SIGMOD Record 16(3),299–310

    Article  Google Scholar 

  • Kim, H J et al (1988) “PICASSO: a graphical query language” Software Practice and Experience 18(3), 169–203

    Article  Google Scholar 

  • Kim, W (1990) “Object-oriented databases: definition and research directions” IEEE Transactions on Knowledge and Data Engineering 2(3), 327–341

    Article  Google Scholar 

  • Maeda, A et al (1988) “A multimedia database system featuring similarity retrieval” pp 239–244 in Proceedings of the 2nd International Symposium on Interoperable Information Systems, Tokyo

    Google Scholar 

  • Nagy, G (1985) “Image database” Image and Vision Computing 3(3), 111–117 O Docherty, M H et a1 (1990) “Advances in the processing and management of multimedia information” ICL Technical Journal 7, 271–287

    Google Scholar 

  • O’Docherty, M H et al (1990) “Advances in the processing and management of multimedia information” ICL Technical Journal 7, 271–287

    Google Scholar 

  • Opitz, H et al (1969) “Workpiece classification and its industrial application” International Journal of Machine Tool Design Research 9, 39–50

    Article  Google Scholar 

  • Orenstein, J A and Manola, F A (1988) “PROBE spatial data modelling and query processing in an image database application” IEEE Transactions on Software Engineering 14(5), 611–629

    Article  Google Scholar 

  • Rabitti, F and Stanchev. P (1987) “Graphical Image Retrieval from Large Image Databases” vol 2, pp 69–89 of Proceedings of AICA conference, Trento

    Google Scholar 

  • Rabitti, F and Stanchev, P (1989) “GRIM_DBMS: a GRaphical IMage DataBase Management System” pp 415–430 in Visual Database Systems (ed Kunii, T L) Elsevier, Amsterdam

    Google Scholar 

  • Rabitti, F and Savino. P (1991) “Image query processing based on multi-level signatures” pp 305–314 in Proceedings of 14th International ACMISIGIR Conference on R&D in Information Retrieval. Chicago

    Google Scholar 

  • Roussopoulos. N et al (1988) “An efficient pictorial database system for PSQL” IEEE Transactions of Software Engineering 14(5) 639–650

    Article  Google Scholar 

  • Salton, G (1971) “The SMART retrieval system - experiments in automatic document processing” Prentice-Hall, Englewood Cliffs. New Jersey

    Google Scholar 

  • Tamura, Hand Yokoya. N (1984) “Image database systems: a survey” Pattern Recognition 17(1). 29–43

    Article  Google Scholar 

  • Toriwaki, J et al (1980) “Pictorial information retrieval of chest X-ray image database using pattern recognition techniques”. pp 1116–1119 in Proceedings of the Third World Conference on Medical Informatics, Tokyo, October 1980 (ed Lindberg, DAB and Kaihara, S), North-Holland. Amsterdam

    Google Scholar 

  • Willis, P and Hunter. A (1991) “A picture archive browser” Computer Graphics Forum 10,49–59

    Article  Google Scholar 

  • Yokoya, N and Tamura. H (1982) “A database system of microscopic cell images”, pp 471–476 in Proceedings of ISM III 82, the first IEEE Computer Society International Symposium on Medical Imaging. Berlin

    Google Scholar 

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© 1993 British Computer Society

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Eakins, J. (1993). Pictorial information systems — prospects and problems. In: McEnery, T., Paice, C. (eds) 14th Information Retrieval Colloquium. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3211-0_8

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  • DOI: https://doi.org/10.1007/978-1-4471-3211-0_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19808-6

  • Online ISBN: 978-1-4471-3211-0

  • eBook Packages: Springer Book Archive

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