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