DocumentCode :
1981684
Title :
Automatic image structure analysis
Author :
Wardhani, A.W. ; Gonzalez, R.
Author_Institution :
Sch. of Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
fYear :
1998
fDate :
28 Jun-1 Jul 1998
Firstpage :
180
Lastpage :
188
Abstract :
The rapid growth of multimedia technology has resulted in an enormous amount of data that needs to be managed and indexed efficiently. To provide effective labeling for an image indexing system requires all objects in the image to be identified. To perform better and effective object identification, the process needs to be performed automatically and without priori knowledge of the image content. We present an automatic object identification scheme, by analysing the image structural information. The image is segmented using automatic image segmentation techniques and components of objects are obtained by grouping the segments together. We present the issues and problems involved in providing such an identification scheme. Some experimental results are presented
Keywords :
image segmentation; indexing; multimedia computing; object recognition; visual databases; image content; image indexing system; image segmentation; image structural information; image structure analysis; labeling; multimedia; object identification; visual database; Electrical capacitance tomography; Image analysis; Image recognition; Image retrieval; Image segmentation; Indexing; Information technology; Labeling; Manuals; Multimedia systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems, 1998. Proceedings. IEEE International Conference on
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-8557-3
Type :
conf
DOI :
10.1109/MMCS.1998.693637
Filename :
693637
Link To Document :
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