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Content-based retrieval of segmented images

Published: 15 October 1994 Publication History

Abstract

Most general content-based image retrieval techniques use colour and texture as main retrieval indices. A recent technique uses colour pairs to model distinct object boundaries for retrieval. These techniques have been applied to overall image contents without taking into account the characteristics of individual objects. While the techniques work well for the retrieval of images with similar overall contents (including backgrounds), their accuracies are limited because they are unable to take advantage of individual object's visual characteristics, and to perform object-level retrieval. This paper looks specifically at the use of colour-pair technique for fuzzy object-level image retrieval. Three extensions are applied to the basic colour-pair technique: (a) the development of a similarity-based ranking formula for colour-pairs matching; (b) the use of segmented objects for object-level retrieval; and (c) the inclusion of perceptually similar colours for fuzzy retrieval. A computer-aided segmentation technique is developed to segment the images' contents. Experimental results indicate that the extensions have led to substantial improvements in the retrieval performance. These extensions are sufficiently general and can be applied to other content-based image retrieval techniques.

References

[1]
Al-Hawamdeh S, Ooi BC, Price R, Tng TH, Ang YH & Hui L (1991). Nearest Neighbour Searching in Picture Archival System. International Conference on Multimedia Information System '91, Singapore, McGraw-Hill, Jan, 17-34.
[2]
Bertino A, Rabitti F & Gibbs S (1988). Query Processing in a Multimedia Document System. ACM Trans. on Office Information System, 6(1), pp 1-41.
[3]
Binaghi E, Gagliardi I & Schettini R (1992). Indexing and Fuzzy Logic-Based Retrieval of Colour Images. IFIP Visual Database Systems, II, Elsevier Science Publishers B.V., 79-92.
[4]
Carter RC & Carter EC (1983). CIELUV Colour Difference Equations for Self-luminous Displays. Colour Research and Applications, 8, 252-553.
[5]
Chua TS, Pung HK, Lu GJ & Jong HS (1994a). A Concept-based Image Retrieval System. Proceedings of 27th Annual Hawaii Int'l Conference on Systems Sciences, 4-7 Jan, 590-598.
[6]
Chua TS, Chan SK, Pung HK & Lu GJ (1994b). A Content-based Image Retrieval System. Internal Report, Dept of Information Systems & Computer Science, National University of Singapore. Submitted for publication.
[7]
Daneels D, van Campenhout D, Niblack W, Equitz W, Barber R, Bellon E & Fierens F (1993). Interactive Outlining: An Improved Approach using Interactive Contours. Image and Video Storage and Retrieval. SPIE.
[8]
Diehl N (1991). Object-oriented Motion Estimation and Segmentation in Image Sequences. Signal Processing' Image Communication, Elsevier Science Publishers BV, 23-56.
[9]
Hall R (1989). Illumination and Colour in Computer Generated Imagery. Springer-Verlag, New York.
[10]
Haralick RM & Shapiro LG (1984). Survey - image Segmentation Techniques. Computer Vision, Graphics, and Image Processing, 29, 100-132.
[11]
Kato T, Kurita T, Shimogaki H, Mizutori T & Fujimura K (1991). A cognitive Approach to Visual Interaction. International Conference on Multimedia Information System 91, McGraw-Hill, 109-120.
[12]
Linton MA, Calder PR & Vlissides JM (1989). Composing User Interfaces with InterViews. IEEE Computer, 22 (2), Feb, 8~22.
[13]
Morikawa H, Harashima H (1992). 2D Structural Descriptions for Video Handling. in 'Visual Computing', TL Kunii (Ed), Proceedings of Computer Graphics Int'l '92, Springer-Verlag, Jun, 25-37.
[14]
Nagasaka A & Tanaka Y (1992). Automatic Video Indexing and Full-Video Search for Object Appearances. Visual Database Systems, II, IFIP, Elsevier Science Publishers B.V., Oct, 113-127.
[15]
Niblack W, Barber R, Equitz W, Flickner M, Glasman E, Petkovic D, Yanker P, Faloutsos C & Taubin G (1993). The QBIC Project: Querying Images by Content Using Colour, Texture, and Shape. Research report, Report # RJ 9203 (8151 I), IBM Almaden Research Center, San Jose, CA, Feb.
[16]
Pratt WK (1991). Digital image Processing. (2nd Ed). John Wiley.
[17]
Price R, Chua TS & A1-Hawamdeh S (1992). Applying Relevance Feedback to a Photo Archival System. Journal of Information Science, 18,203-215.
[18]
Salton G & Buckley C (1990). Improving Retrieval Performance by Relevance Feedback". Journal of the American Society for Information Science, 41 (4), 288- 297.
[19]
Salton G & McGill MJ (1983). Introduction to modern Information Retrieval. McGraw-Hill.
[20]
Stanchev PL, Smeulders AWM and Groen FCA (1992). An Approach to Image Indexing of Documents. Visual Database Systems, II, IFIP, Elsevier Science Publishers B.V., 63-77.
[21]
Tabuchi M, Yagawa Y, Fujisawa M, Negishi A, Kojima K & Muraoka (1991). Hyperbook: A Multimedia Information System That Permits Incomplete Queries. International Conference on Multimedia Information System 91. McGraw-Hill, 3-16.
[22]
Willet P (Ed) (1988). Document Retrieval Systems. Taylor Graham.

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  • (2024)Fine-grained Textual Inversion Network for Zero-Shot Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657831(240-250)Online publication date: 10-Jul-2024
  • (2023)Target-Guided Composed Image RetrievalProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611817(915-923)Online publication date: 26-Oct-2023
  • (2019)Curvature determination in range imagesMultimedia Tools and Applications10.1007/s11042-018-6363-078:7(9247-9273)Online publication date: 1-Apr-2019
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cover image ACM Conferences
MULTIMEDIA '94: Proceedings of the second ACM international conference on Multimedia
October 1994
511 pages
ISBN:0897916867
DOI:10.1145/192593
  • Chairmen:
  • Meera Blattner,
  • John O. Limb
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: 15 October 1994

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Author Tags

  1. colour-pairs
  2. content-based retrieval
  3. image segmentation
  4. partial-match

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MM94: 2nd ACM International Conference on Multimedia
October 15 - 20, 1994
California, San Francisco, USA

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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Cited By

View all
  • (2024)Fine-grained Textual Inversion Network for Zero-Shot Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657831(240-250)Online publication date: 10-Jul-2024
  • (2023)Target-Guided Composed Image RetrievalProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611817(915-923)Online publication date: 26-Oct-2023
  • (2019)Curvature determination in range imagesMultimedia Tools and Applications10.1007/s11042-018-6363-078:7(9247-9273)Online publication date: 1-Apr-2019
  • (2012)Content based image retrieval with bin of color histogram2012 International Conference on Audio, Language and Image Processing10.1109/ICALIP.2012.6376580(20-25)Online publication date: Jul-2012
  • (2012)Interactive metric learning system for similar image search using Linear Discriminant AnalysisThe 1st IEEE Global Conference on Consumer Electronics 201210.1109/GCCE.2012.6379581(206-209)Online publication date: Oct-2012
  • (2008)An efficient method for content based image retrieval using histogram graph2008 10th International Conference on Control, Automation, Robotics and Vision10.1109/ICARCV.2008.4795632(874-878)Online publication date: Dec-2008
  • (2008)Combining Color and Spatial Information for Retrieving Landscape ImagesProceedings of the 2008 Congress on Image and Signal Processing, Vol. 2 - Volume 0210.1109/CISP.2008.146(480-484)Online publication date: 27-May-2008
  • (2008)Efficient content based image retrieval through sector histogramAPCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems10.1109/APCCAS.2008.4746395(1814-1817)Online publication date: Nov-2008
  • (2008)Perceived image similarity and quantization resolutionDisplays10.1016/j.displa.2008.03.00229:5(451-457)Online publication date: Dec-2008
  • (2008)Improved Curvature Scale Space Based on Image Retrieval Using Dynamic Time WarpingProceedings of the international conference on Computational Science and Its Applications, Part II10.1007/978-3-540-69848-7_4(32-42)Online publication date: 30-Jun-2008
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