P. L. Stanchev, A. W. M. Smeulders, and F. C. A. Groen. An approach to image indexing of documents. IFIP Transactions A (Computer Science and Technology), A-7:63--77, 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....Frequently the annotation is largely missing or only partly describes image content; inter indexer consistency for image attributes is rather low. A growing number of researchers have been trying to find image query equivalents for the successful text pattern matching and textindexing techniques [15], 4] 3] 17] 18] 8] 12] 14] A straightforward generalization of text retrieval methodologies is hampered by the fact that: both sounds and imaged objects are ill separable in time and space (unlike text characters) when segmented successfully into elementary units for music speech ....

P. Stanchev, A. Smeulders, and F. Groen. An approach to image indexing of documents. In in (eds) Knuth E., Wegener L.M.: Visual Database Systems II, pages 63--77. North-Holland, 1992.

....the keyword records and the associated images are retrieved after the textual search is complete. Some image databases provide enhancement by supporting query by pictorial examples for constrained applications, such as geographic satellite images, mechanic design diagrams, and human facial images [6,11,28]. Enhancement can be achieved by using the so called iconic indexing concept to explore the spatial relationships among image objects [12] Also mentioned in the literature is the semantic level descriptions, such as person A in front of a stone house or a high speed racing car . Contents at ....

P. Stanchev, A. Smeulders, and F. Groen, "An Approach to Image Indexing of Documents," in Visual Database Systems II, Elsevier Science Publishers, 1992.

....takes over 14 minutes. Finally, we evaluate the results of applying our tuned image querying metric on hundreds of queries in databases of 1000 and 20,000 images. The content based querying method we describe has applications in many different domains, including graphic design, architecture [30], TV production [27] multimedia [29] ubiquitous computing [36] art history [13] geology [26] satellite image databases [16] and medical imaging [15] For example, a graphic designer may want to find an image that is stored on her own system using a painted query. She may also want to find ....

P. L. Stanchev, A. W. M. Smeulders, and F. C. A. Groen. An approach to image indexing of documents. IFIP Transactions A (Computer Science and Technology), A-7:63--77, 1992.

....the user finds or composes an example image. An example for applying the GIR model for retrieval from a plant image database is given. 2. IMAGE RETRRIEVAL MODELS Some of the valuable proposals for image retrieval models are: QBIC System [3] AIR framework [4] PICQUERY [5] AMSTERDAM system [6]. The QBIC (query by image content) system was developed to explore the contentbased retrieval methods. It allows queries based on colour and texture patterns or sketches and drawings of an object shape. The indexing is dome automatically. R trees are used for storing the multidimensional index. ....

.... called a Hit or Miss operation in mathematics morphology and I is the image I converted as a binary image, with values 1 for the image objects and f lr the background pixels (for this purpose a threshold operation is used) This procedure uses the fuzzy mathematical morphology and is described in [6]. g. if qi, Xi are interval values denoted with [a, b] and [c, d] then: sire (qi, xi) sim(a,c) sim(b,d) 2; h. if qi, Xi are spatial representations, characterised with O9t strings: O91Q and O91, then: sire (091Q, 091b) Object Factor 2 (Spatial Factor) Scale Factor) 4, where the ....

P. Stanchev, A. Smeulders and F. Groen, An Approach to Image Indexing of Documents, In E. Knuth and L. Wegner (Eds.), Visual Database Systems II, North Holland, 1992, pp. 63-77.

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Stanchev P., Smeulders A., Groen F., An Approach to Image Indexing of Documents. In: Knuth, E. and Wegner, L., (Eds.), Visual Database Systems, II, pp. 63-77. North Holland, 63-78, 1992.

....image representation can be viewed as a multiple level abstraction of the physical image view. The model is based on the analysis of different image application domains such as: medical images, house furnishing design plans [27] electronic schema catalogues, and geographical information systems [28]. The proposed model could be used as a frame for designing and building a wide range of image database systems and could be proposed as a standard to the MPEG committee. It can be treated as an extension of the general image database model [25, 26] A particular representation based on this model ....

....21 features, based on Daubechies wavelet transformed image; 6) Gabor s filter. Wagner [34] summarized 18 different methods including 318 different features and gave the exact formulas for every single such feature. For the proposed representation, for each image object, the Tamura features [28] of coarseness, contrast, directionality, line likeness, and regularity, are calculated as texture object characteristics. These values are normalized. Shape attributes techniques can be represented in two distinct categories: measurement based methods ranging from simple, primitive measures ....

Stanchev, P., Smeulders, A., and Groen, F., An Approach to Image Indexing of Document, in E. Knuth and L. Wegne(Eds.), Visual Database Systems 1I, (North Holland, 1992), pp. 63-77.

....in an image database system; visual feedback by applying the environment functions. The environment has been implemented on IBM PC using Borland C under Windows 3.1. The design of the environment uses an experience gained during the development of the AMSTERDAM image data base system [6], working with electronic schema images. It will be part of the image database system [7] ACKNOWLEDGEMENT This project is partially supported by a project of the National Foundation for Science Research of Bulgaria. ....

Stanchev P., Smoulders A., Groan F., An Approach to Image Indexing of Documents, Visual Database Systems, E. Kenneth and L. Whiner, eds., North Holland, 63-77, 1992.

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P. L. Stanchev, A. W. M. Smeulders, and F. C. A. Groen. An approach to image indexing of documents. IFIP Transactions A (Computer Science and Technology), A-7:63--77, 1992.

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