Title :
A line string image representation for image storage and retrieval
Author :
Hu, Wen-Chen ; Ritter, Gerhard X.
Author_Institution :
Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA
Abstract :
Efficient storage and flexible retrieval are two principle needs in an image database. Image representation is the crucial factor in fulfilling these requirements. The paper proposes an image representation, including an image data structure and a spatial knowledge representation, that will facilitate the above two demands. The proposed data structure, called a line string, encodes an image via a string of skeletal lines and retrieves an image through string matching. The proposed spatial representation, called an OOLS, provides a structural and easy way to specify the line string in a database query. The paper also compares space needs and matching speed of line strings to other string data structures
Keywords :
edge detection; image coding; image matching; image representation; knowledge representation; query processing; spatial data structures; string matching; visual databases; OOLS; database query; image data structure; image database; image encoding; image retrieval; image storage; line string image representation; line string specification; matching speed; skeletal line string; space needs; spatial knowledge representation; string data structures; string matching; Computer vision; Data structures; Image databases; Image representation; Image retrieval; Image storage; Information retrieval; Object oriented databases; Relational databases; Spatial databases;
Conference_Titel :
Multimedia Computing and Systems '97. Proceedings., IEEE International Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-8186-5530-5
DOI :
10.1109/MMCS.1997.609754