TY  - UNPD
A1  - Arlt, Björn
A1  - Brause, Rüdiger W.
A1  - Tratar, Erwin
T1  - MASCOT: a mechanism for attention-based scale-invariant object recognition in images
T2  - Universität Frankfurt am Main. Fachbereich Informatik: Interner Bericht ; 00,2
N2  - The efficient management of large multimedia databases requires the development of new techniques to process, characterize, and search for multimedia objects. Especially in the case of image data, the rapidly growing amount of documents prohibits a manual description of the images’ content. Instead, the automated characterization is highly desirable to support annotation and retrieval of digital images. However, this is a very complex and still unsolved task. To contribute to a solution of this problem, we have developed a mechanism for recognizing objects in images based on the query by example paradigm. Therefore, the most salient image features of an example image representing the searched object are extracted to obtain a scale-invariant object model. The use of this model provides an efficient and robust strategy for recognizing objects in images independently of their size. Further applications of the mechanism are classical recognition tasks such as scene decomposition or object tracking in video sequences.
T3  - Interner Bericht / Fachbereich Informatik, Johann Wolfgang Goethe-Universität Frankfurt a.M. - 00, 02 
KW  - attention-based object recognition
KW  - scale-invariant object model
KW  - image databases
Y1  - 2000
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/6674
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-67849
SN  - 1432-9611
EP  - 9
PB  - Fachbereich Informatik, Univ.
CY  - Frankfurt am Main
ER  -