DocumentCode :
169696
Title :
Generation of Metadata Using Content-Based Image Retrieval System
Author :
Sun-A Lee ; Min-Uk Kim ; Kyoungro Yoon
Author_Institution :
Sch. of Comput. Sci. & Eng., Konkuk Univ., Seoul, South Korea
fYear :
2014
fDate :
6-9 May 2014
Firstpage :
1
Lastpage :
2
Abstract :
For efficient data management, we propose a system which generates metadata for image contents. This system is using Content-Based Image Retrieval System (CBIR) based on Mpeg-7 descriptors. First, low-level features are extracted from the query image without metadata and the images with similar low-level features are retrieved from the CBIR system. Metadata of the result images which are similar to the query image are extracted from the metadata database. From the resulting metadata, common keywords are extracted and proposed as the keywords for the query image.
Keywords :
content-based retrieval; feature extraction; image retrieval; meta data; CBIR; Mpeg-7 descriptors; content-based image retrieval system; data management; image contents; low-level features; metadata generation; query image; Feature extraction; Image color analysis; Image edge detection; Image retrieval; Multimedia communication; Multimedia databases; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-4443-9
Type :
conf
DOI :
10.1109/ICISA.2014.6847406
Filename :
6847406
Link To Document :
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