DocumentCode
3015002
Title
Hierarchical content description and object formation by learning
Author
Xu, Yaowu ; Saber, Eli ; Tekalp, A. Murat
Author_Institution
Dept. of Electr. & Comput. Eng., Rochester Univ., NY, USA
fYear
1999
fDate
1999
Firstpage
84
Lastpage
88
Abstract
Efficient management of digital multimedia databases requires the storage, searching, browsing and retrieval of large amounts of visual information effectively. This paper proposes a hierarchical representation scheme and a hierarchical content matching technique that provide a learning mechanism for effective and efficient retrieval from user profiles and search patterns. The proposed representation, together with a low-level image analysis procedure, also enables the automatic analysis of images into meaningful objects for object-based content description. Experimental results are presented to show the effectiveness of the proposed representation scheme, the hierarchical matching technique and the learning concept
Keywords
content-based retrieval; image matching; learning (artificial intelligence); multimedia databases; object-oriented databases; spatial data structures; user modelling; automatic image analysis; digital multimedia databases; hierarchical content description; hierarchical content matching technique; hierarchical representation scheme; learning mechanism; low-level image analysis procedure; object formation; object-based content description; user profiles; user search patterns; visual information; Content based retrieval; Image color analysis; Image segmentation; Image texture analysis; Information retrieval; Layout; Multimedia databases; Pattern matching; Spatial databases; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Content-Based Access of Image and Video Libraries, 1999. (CBAIVL '99) Proceedings. IEEE Workshop on
Conference_Location
Fort Collins, CO
Print_ISBN
0-7695-0034-X
Type
conf
DOI
10.1109/IVL.1999.781129
Filename
781129
Link To Document