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