Title :
ZEBRA image access system
Author :
Mudumbai, Srilekha ; Shah, Kshitij ; Sheth, Amit ; Parasuraman, Krishnan ; Bertram, Clemens
Author_Institution :
Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA
Abstract :
The ZEBRA system, which is part of the VisualHarness platform for managing heterogeneous data, supports three types of access to distributed image repositories: keyword based, attribute based, and image content based. A user can assign different weights (relative importance) to each of the three types, and within the last type of access, to each of the image properties. The image based access component (IBAC) supports access based on computable image properties such as those based on spatial domain, frequency domain or statistical and structural analysis. However, it uses a novel black box approach of utilizing a Visual Information Retrieval (VIR) engine to compute corresponding metadata that is then independently managed in a relational database to provide query processing involving image features and information correlation. That is, one overcomes the difficulties in using the feature vectors that are proprietary to a VTR engine, as one does not require any knowledge of the internal representation or format of the image feature used by a VIR engine
Keywords :
image processing; query processing; relational databases; visual databases; Visual Information Retrieval engine; VisualHarness platform; ZEBRA image access system; attribute based access; computable image properties; distributed image repositories; feature vectors; frequency domain; heterogeneous data management; image based access component; image content based access; image features; information correlation; keyword based access; metadata; query processing; relational database; spatial domain; statistical analysis; structural analysis; Content management; Engines; Frequency domain analysis; Image analysis; Image retrieval; Independent component analysis; Information retrieval; Query processing; Relational databases; Video recording;
Conference_Titel :
Data Engineering, 1998. Proceedings., 14th International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-8289-2
DOI :
10.1109/ICDE.1998.655826