DocumentCode :
3124566
Title :
Recognition of Botanical Bloom Characteristics from Visual Features
Author :
Lang, Margit ; Kosch, Harald ; Stars, Stella ; Kettner, Carsten ; Lachner, Janine ; Oborny, Doris
Author_Institution :
Univ. Passau, Passau
fYear :
2007
fDate :
6-8 June 2007
Firstpage :
27
Lastpage :
27
Abstract :
This paper introduces multimedia indexing and retrieval techniques to enable the extraction of botanical characteristics for semi-automatic plant recognition. The identification of plants requires recognition and determination of plant species by using specific features such as bloom color, inflorescences, shape of blooms, number of petals and shape of leaves. Our indexing and retrieval techniques will be integrated into an existing medicinal plant database, MedPhytreg. An evaluation study finishes the paper.
Keywords :
biology computing; feature extraction; image colour analysis; image recognition; information retrieval; multimedia computing; MedPhyt medicinal plant database; botanical bloom characteristic recognition; multimedia indexing; multimedia retrieval technique; plant species; semi automatic plant recognition; visual feature extraction; Biomedical imaging; Character recognition; Content based retrieval; Data mining; Image databases; Image retrieval; Indexing; Information retrieval; MPEG 7 Standard; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2007. WIAMIS '07. Eighth International Workshop on
Conference_Location :
Santorini
Print_ISBN :
0-7695-2818-X
Electronic_ISBN :
0-7695-2818-X
Type :
conf
DOI :
10.1109/WIAMIS.2007.71
Filename :
4279135
Link To Document :
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