Title :
Query by image and video content: the QBIC system
Author :
Flickner, Myron ; Sawhney, Harpreet ; Niblack, Wayne ; Ashley, Jonathan ; Huang, Qian ; Dom, Byron ; Gorkani, Monika ; Hafner, Jurgen ; Lee, Denis ; Petkovic, Dragutin ; Steele, David ; Yanker, Peter
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
fDate :
9/1/1995 12:00:00 AM
Abstract :
Research on ways to extend and improve query methods for image databases is widespread. We have developed the QBIC (Query by Image Content) system to explore content-based retrieval methods. QBIC allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information. Two key properties of QBIC are (1) its use of image and video content-computable properties of color, texture, shape and motion of images, videos and their objects-in the queries, and (2) its graphical query language, in which queries are posed by drawing, selecting and other graphical means. This article describes the QBIC system and demonstrates its query capabilities. QBIC technology is part of several IBM products
Keywords :
query languages; query processing; visual databases; visual languages; IBM products; QBIC; Query by Image Content; camera motion; color patterns; computable properties; content-based retrieval methods; drawings; example images; graphical information; graphical query language; image databases; object motion; shape; texture patterns; user-constructed sketches; video content; video databases; Anthropometry; Cameras; Fabrics; Humans; Image databases; Intrusion detection; Layout; Marine animals; Motion pictures; Shape measurement;
