Klasyfikacja obiektów graficznych i zapytania obrazowe jako aspekt wyszukiwania informacji obrazowej według treści

• Autorzy: Tatiana Jaworska

Warianty tytułu

Graphical Object Classification and Query by Image as An Aspect of Content-Based Image Retrieval System

• Języki publikacji: PL

Abstrakty

W artykule zaproponowano klasyfikację obiektów graficznych do dopasowywania w ramach wyszukiwania informacji obrazowej w systemie z obrazami barwnymi. Opisano działanie systemu i przytoczono odpowiednie przykłady. Najpierw podano konstrukcję wskaźników, opartych na cechach i relacjach obiektów na obrazach, a następnie odniesiono się do zapytań przez przykłady. Interfejs graficzny został opisany wraz z przykładami. (abstrakt oryginalny)

EN

In this article we propose graphical object classification used for image matching in the Content-Based Image Retrieval (CBIR) system containing colour images. The part devoted to image processing and the inner structure of the database are signalled to the extent which is necessary for the reader to understand how the whole system works. Firstly, we discuss the theoretical construction of indexes for the graphical object classification. The indexes are based on feature vectors for each object and spatial relationships among objects for image retrieval. We present some classes and classfied objects. Secondly, we address the problem of the graphical query by example. In order to construct the graphical query we implement the user interface (GUI) which has been developed in the light of human-computer interaction. GUI enables the user to design their own image which is further treated as a query for the database. The expected reply is a set of similar images presented to the user by the database. (original abstract)

Słowa kluczowe

PL

Obrazy cyfrowe; Grafika komputerowa

EN

Digital images; Computer graphics

• Czasopismo: Studia i Materiały Polskiego Stowarzyszenia Zarządzania Wiedzą
• Rocznik: 2010
• Tom: 32
• Strony: 269--282

Twórcy

autor

Tatiana Jaworska

• Polska Akademia Nauk

Bibliografia

• Chow T.W., Rahman M.K., Wu S.: Content-based image retrieval by using tree- structured features and multi-layer self-organized map. Pattern Analysis and Applications Vol. 9, 2006, pp. 1-20.
• Flickner M., Sawhney H., et al.: Query by Image and Video Content: The QBIC System, IEEE Computer 28, No. 9, 1995, pp. 23-32.
• Huang J. et al. Spatial Color Indexing and Applications, "International Journal of Computer Vision", Vol 35, No. 3, Kluwer Academic Publishers, the Netherlands, 1999, pp. 245-268.
• ISO/MPEG N6828, Overview of MPEG-7, ver. 10, (ed.) Martinez J. M., Palma de Mallorca, October, 2004.
• Jaworska T.: Object extraction as a basic process for content-based image retrieval (CBIR) system, [w:] Opto-Electronics Review, Asso. of Polish Electrical Engineers (SEP), Vol. 15, No. 4, Warsaw, 2007, pp. 184-195.
• Jaworska T.: Database as a Crucial Element for CBIR Systems, [w:] Proceedings of the 2nd International Symposium on Test Automation and Instrumentation, Vol. 4, World Publishing Corporation, Beijing, China, 2008, pp. 1983-1986.
• Kacprzyk J., Berzal F., et al.: A general framework for computing with words in object- oriented programming, "International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems", Vol. 15, Supplement, Feb., (ed) Bouchon-Meunier B., 2007, pp. 111-131.
• Newman W.M., Lamming M.G.: Interactive System Design, Addison-Wesley, Harlow, 1996.
• Ogle V., Stonebraker M.: CHABOT: Retrieval from a Relational Database of Images, IEEE Computer 28, No. 9, 1995, pp. 40-48.
• Pentland A., Picard R., Sclaroff S.: Photobook: Content-based manipulation of image databases, "International Journal of Computer Vision", Vol. 18, No. 3, 1996, pp. 233-254.
• Shi Z., He Q., Shi Zh.: An index and retrieval framework integrating perceptive features and semantics for multimedia databases, Multimedia Tools and Applications, Vol. 4, 2009, pp. 207-231.
• Swain M., Ballard D.: Color indexing, "International Journal of Computer Vision", Vol. 7 No. 1, 1991, pp. 11-32.
• Swain M., Stricker M.: The capacity of colour histogram indexing, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, 1994, pp. 704-708.
• Wang Y.H.: A Spatial Relationship Method Supports Image Indexing and Similarity Retrieval, chap. 12, [w:] Multimedia Systems and Moment-Based Image Retrieval, (ed.) Deb S., IGP. Melbourne, 2004, pp. 277-301.
• Zadeh L.A., From Computing with Numbers to Computing with Words - from Manipulation of Measurements to Manipulation of Perception, IEEE Transactions on Circuits and Systems. [w:] Fundamental Theory and Applications, Vol. 45, 1999, pp. 105-119.