Title :
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
fDate :
8/1/2000 12:00:00 AM
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;
Journal_Title :
Consumer Electronics, IEEE Transactions on
