Image Database Retrieval

Image Database Retrieval - Image Database Retrieval...

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Unformatted text preview: Image Database Retrieval Krisztián Veréb PhD Department of Information Technology Faculty of Computer Science and Information Technology University of Debrecen IPCV 2006 Budapest Image Databases • Image databases can – Store images – Manage images (process) – Retrieve images IPCV 2006 Budapest Databases • Databases can store images – As BLOB – As Object • Databases can process images – With outer (external) methods – With inner (internal) methods • To retrieve images they use – Content-Based Image Retrieval – Visual Information Retrieval IPCV 2006 Budapest Real Image Databases • Image databases can – Store images in the database level (with native image objects) – Manage images in the database level (it comes from the native objects) – Retrieve images in the database level (with native stored procedures) IPCV 2006 Budapest Image Database Facilities • Storing, sorting, managing large amount of images • Designed and planned management of related information • Image processing • Image similarity • Image visualization IPCV 2006 Budapest Function of Image Databases • Extensional role – In image processing tools (Léna) – In medical image processing (CT, MRI) – In art collections (painting) – In historical archives (cronology with images) • Central role – Data BASED systems (police) – Visulal Information Systems – General image databases IPCV 2006 Budapest Characteristics of General DB • Similarity – Supports the visual similarity measuring • Generality – The domain of usage is not restricted (it is not computer vision, it is not image processing) • Interaction – There are input and output, and it can used as information systems • Data complexity – Large amount of various data (Image, feature vector, stored procedure as well as the familiar database types) IPCV 2006 Budapest Expectations and Solutions IPCV 2006 Budapest • Stability – Usage of proven (old) techniques • High rate – Usage of small, ‘dumb’ techniques • Low cost – Usage of legacy systems Connection of Sciences RGB, HSI, YUV, hisztogramm, Minkowski Jeffrey distance, Gauss- Markov fields, texture, autocorrelation, Fourier transform, mathematical morphology, image segmentation, neighbourhood, Freeman code, Hausdorff distance, Affine transformation, attentive and preattentive features, Lp metrics, Fuzzy logics, computer vision Binary Large Object (BLOB), BFILE, structural data, table spaces, content management, SQL (score) query, multimedia indexing, space partitions, data partitions, semantical indexing, ORDSource, ORDVIR (8.1.7), ORDImage (9i), Oracle Still Image (10g), ORD class hierarchy, PLSQL, XML, PSP, DB2 QBIC, Sigma-QL, data mining, CBIR VIR IPCV 2006 Budapest Image Storing • Storing only images – Albums, galeries, archives • Storing images with related information – Painting, Police databases • Storing text with related images – on-line books, articles, publication IPCV 2006 Budapest Image Database Users...
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This note was uploaded on 05/22/2011 for the course COMP 207 taught by Professor Zhangli during the Spring '11 term at University of Liverpool.

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Image Database Retrieval - Image Database Retrieval...

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