A new indexing method for video retrieval using the rosette pattern

Author

Kang, Eung Kwan ; Jahng, Surng Gabb ; Choi, Jong Soo

Author_Institution

Dept. of Image Eng., Chungang Univ., Seoul, South Korea

Volume

46

Issue

3

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

780

Lastpage

784

Abstract

We propose a new method to index an image for the fast content-based image browsing and retrieval in a database using the rosette pattern. By applying the rosette pattern that has more sample lines in the vicinity of center than those in the outer parts, we can get global gray distribution features as well as local positional information. These features are transformed into a histogram and used as database indices. Our method is better than the conventional ones in terms of the reduction of the number of pixels required to index an image and also provides a good retrieval performance

Keywords

content-based retrieval; database indexing; image retrieval; video databases; content-based image browsing; content-based image retrieval; database indices; global gray distribution features; histogram; image database; image indexing method; local positional information; pixels reduction; retrieval performance; rosette pattern; video database management system; video retrieval; Content based retrieval; Frequency; Image databases; Image retrieval; Indexing; Information retrieval; Pixel; Spatial databases; Video compression; Video on demand;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.883446

Filename

883446