Title :
Image sequence compression by iconic indexing
Author :
Arndt, Tabea ; Chang, Shi-Kuo
Author_Institution :
Dept. of Comput. Sci., Pittsburgh Univ., PA, USA
Abstract :
A method that facilitates the rapid retrieval of a given image sequence from a large database is presented. The authors exploit the fact that much of the information stored is redundant. They extend the two-dimensional string methodology to image sequences. This permits queries on the relative positions of objects within video sequences, including changes in position over time
Keywords :
computer graphics; computerised picture processing; database management systems; indexing; user interfaces; 2D string methodology; iconic indexing; image sequence; image sequences; large database; queries; rapid retrieval; video sequences; Computer science; Image coding; Image databases; Image recognition; Image sequences; Indexing; Information retrieval; Object detection; Target tracking; Video compression;
Conference_Titel :
Visual Languages, 1989., IEEE Workshop on
Conference_Location :
Rome
Print_ISBN :
0-8186-2002-1
DOI :
10.1109/WVL.1989.77061
