Abstract
Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative.
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Ahmad I., Grosky W.I.: Indexing and retrieval of images by spatial constraints. J. Vis. Commun. Image R. 14(3), 291–320 (2003)
Berreti S., Bimbo A.D., Pala P.: Retrieval by shape similarity with perceptual distance and effective indexing. IEEE Trans. Multimed. 2(4), 225–239 (2000)
Berreti S., Bimbo A.D., Vicario E.: Weighted walkthroughs between extended entities for retrieval by spatial arrangement. IEEE Trans. Multimed. 5(1), 52–70 (2003)
Chang C., Wu T.: An exact match retrieval scheme based upon principal component analysis. Pattern Recogn. Lett. 16(5), 465–470 (1995)
Chang S.K., Shi Q.Y., Yan C.W.: Iconic indexing by 2-D strings. IEEE Trans. Pattern Anal. Mach. Intell. 9(3), 413–428 (1987)
Chen, X., Ahmad, I.S.: Shape-based image retrieval using k-means clustering and neural networks. In: Proceedings of the IEEE Pacific-Rim Symposium on Image and Video Technology, pp. 893–904. Santiago, Chile (2007)
Ciaccia, P., Patella, M., Zezula, P.: M-tree: an efficient access method for similarity search in metric spaces. In: Proceedigs of the 23rd International Conference on Very Large Data Bases, pp. 426–435. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1997)
Datta R., Joshi D., Wang J.: Image retrieval: ideas, influences, and trends of the new age. ACM Comput. Surv. 40(25), 1–560 (2008)
Do M.N., Vetterli M.: Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance. IEEE Trans. Image Process. 11(2), 146–158 (2002)
Faloutsos C., Christodoulakis S.: Signature files: an access method for documents and its analytical performance evaluation. ACM Trans. Inf. Syst. 2(4), 267–288 (1984)
Flickner M., Sawhney H., Niblack W., Ashley J., Huang Q., Dom B., Gorkani M., Hafner J., Lee D., Petkovic D., Steele D., Yanker P.: Query by image and video content: The QBIC system. Computer 28(9), 23–32 (1995)
Gudivada V.: Θℜ-string: a geometry-based representation for efficient and effective retrieval of images by spatial similarity. IEEE Trans. Knowl. Data Eng. 10, 504–512 (1998)
Gudivada V.N., Raghavan V.V.: Content-based image retrieval systems-guest editor’s introduction. Computer 28(9), 18–22 (1995)
Guldogan E., Gabbouj M.: Feature selection for content-based image retrieval. Signal Image Video Process. 2(3), 241–250 (2008)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the Alvey Vision Conference, pp. 147–151 (1988)
Hashizume, C.: Focused color intersection with efficient searching for object detection and image retrieval. In: Proceedings of the International Conference on Multimedia Computing and Systems, p. 0229. IEEE Computer Society, Washington, DC, USA (1996)
Hoaglin D.C., Mosteller F., Tukey J.W.: Understanding Robust and Exploratory Data Analysis. Wiley, New York (1983)
Hsu F.J., Lee S.Y., Lin B.S.: 2D C-tree spatial representation for iconic image. J. Vis. Lang. Comput. 10(2), 147–164 (1999)
Hu, W.C., Ritter, G.X.: A line string image representation for image storage and retrieval. In: Proceedigs of the IEEE International Conference on Multimedia Computing Systems, pp. 434–441 (1997)
Huang P.W., Jean Y.R.: Using 2D C+-strings as spatial knowledge representation for image database systems. Pattern Recogn. 27(9), 1249–1257 (1994)
Jungert, E., Chang, S.K.: An algebra for symbolic image manipulation and transformation. In: Proceedings of the IFIP TC 2/WG 2.6 Working Conference on Visual Database Systems, pp. 301–307 (1989)
Khan, N.M., Ahmad, I.S.: A new signature for quadtree based image matching. In: Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia, pp. 20–27. Kuala Lumpur, Malaysia (2009)
Kimia, B.: A large binary image database. Brown University, The Laboratory for Engineering Man/Machine Systems. http://www.lems.brown.edu/~dmc (2010)
Latecki L.J., Lakämper R.: Shape similarity measure based on correspondence of visual parts. IEEE Trans. Pattern Anal. Mach. Intell. 22(10), 1185–1190 (2000)
Lee S., Yang M., Chen J.: Signature file as a spatial filter for iconic image database. J. Vis. Lang. Comput. 3(4), 373–397 (1992)
Li J., Gray R.M., Olshen R.A.: Multiresolution image classification by hierarchical modeling with two dimensional hidden Markov models. IEEE Trans. Inf. Theory 46(5), 1826–1841 (2000)
Manjunath B.S., Ohm J., Vasudevan V.V., Yamada A.: Color and texture descriptors. IEEE Trans. Circ. Syst. Video Technol. 11(6), 703–715 (2001)
Mariscoi M.D., Cinque L., Levialdi L.: Indexing pictorial documents by their content: a survey of current techniques. Image Vision Comput. 15(2), 119–141 (1997)
Natsev A., Rastogi R., Shim K.: WALRUS: a similarity retrieval algorithm for image databases. SIGMOD Rec. 28(2), 395–406 (1999)
Petraglia G., Sebillo M., Tucci M., Tortora G.: Virtual images for similarity retrieval in image databases. IEEE Trans. Knowl. Data Eng. 13(6), 951–967 (2001)
Petrakis E.G., Faloutsos C., Lin K.I.D.: Imagemap: an image indexing method based on spatial similarity. IEEE Trans. Knowl. Data Eng. 14(5), 979–987 (2002)
Petrakis G., Diplaros A., Milios E.: Matching and retrieval of distorted and occluded shapes using dynamic programming. IEEE Trans. Pattern Anal. Mach. Intell. 24(11), 1501–1516 (2002)
Pfaltz J.L., Berman W.J., Cagley E.M.: Partial-match retrieval using indexed descriptor files. Commun. ACM 23(9), 522–528 (1980)
Samet H.: Distance transform for images represented by quadtrees. IEEE Trans. Pattern Anal. Mach. Intell. 4(3), 298–303 (1982)
Schmid C., Mohr R., Bauckhage C.: Evaluation of interest point detectors. Int. J. Comput. Vision 37(2), 151–172 (2000)
Smith, J.R., Chang, S.: VisualSEEk: a fully automated content-based image query system. In: Proceedings of the 4th ACM international conference on Multimedia, pp. 87–98. ACM, New York, NY, USA (1996)
Smith S.M., Brady J.M.: SUSAN—A new approach to low level image processing. Int. J. Comput. Vision 23(1), 45–78 (1997)
Tuytelaars T., Mikolajczyk K.: Local invariant feature detectors: A survey. Found. Trends Comput. Graph. Vis. 3(3), 177–280 (2007)
Vincent E., Laganire R.: Detecting and matching feature points. J. Vis. Commun. Image R. 16(1), 38–54 (2005)
Wang, J.Z., Boujemaa, N., Bimbo, A.D., Geman, D., Hauptmann, A.G., Tesić, J.: Diversity in multimedia information retrieval research. In: Proceedings of the 8th ACM international workshop on Multimedia information retrieval, pp. 5–12. ACM, New York, NY, USA (2006)
Wang Y.: Image indexing and similarity retrieval based on spatial relationship model. Inf. Sci. Inf. Comput. Sci. 154(1–2), 39–58 (2003)
Xing, N., Ahmad, I.S.: Shape-based image retrieval. In: Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia, pp. 543–547. Kuala Lumpur, Malaysia (2009)
Yu H., Yang J.: A direct LDA algorithm for high-dimensional data with application to face recognition. Pattern Recogn. 34, 2067–2070 (2001)
Zhang D., Lu G.: Shape-based image retrieval using generic fourier descriptor. Sig. Proc. Image Comm. 17(10), 825–848 (2002)
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Authors would like to acknowledge partial support provided by the University of Windsor and the Natural Science and Engineering Research Council (NSERC)—Canada.
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Khan, N.M., Ahmad, I.S. An efficient signature representation for retrieval of spatially similar images. SIViP 6, 55–70 (2012). https://doi.org/10.1007/s11760-010-0179-3
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DOI: https://doi.org/10.1007/s11760-010-0179-3