1995
@article{FSN1995,
vgclass = {refpap},
vgproject = {cbir},
author = {Myron Flickner and Harpreet Sawhney and Wayne Niblack and
Jonathan Ashley and Qian Huang and Byron Dom and Monika Gorkani and Jim
Hafner and Denis Lee and Dragutin Petkovic and David Steele and Peter
Yanker},
title = {Query by Image and Video Content: The {QBIC} System},
journal = {IEEE Computer},
volume = {28},
number = {9},
pages = {23--32},
month = {September},
year = {1995},
url = {http://ieeexplore.ieee.org/iel1/2/9181/00410146.pdf?isNumber=9181&prod=JNL&arnumber=410146&arNumber=410146&arSt=23&ared=32&arAuthor=Flickner%2C+M.%3B+Sawhney%2C+H.%3B+Niblack%2C+W.%3B+Ashley%2C+J.%3B+Qian+Huang%3B+Dom%2C+B.%3B+Gorkani%2C+M.%3B+Hafner%2C+J.%3B+Lee%2C+D.%3B+Petkovic%2C+D.%3B+Steele%2C+D.%3B+Yanker%2C+P.},
abstract = {Advances in scanning, networking, compression and video
technology -- and the proliferation of multimedia computers -- have led
to the generation of large on-line collections of images and videos.
These collections have created a need for new methods to locate
specific images or video clips. The Query by Image Content (QBIC)
project is studying methods to extend and complement text-based
retrievals by querying and retrieving images and videos by content.
Queries can be performed using attributes such as colors, textures,
shapes, and object position. Video-specific queries include those on
camera motion parameters like zoom, pan, and object motion.
The project has resulted in a prototype system with two major steps:
database population and query. In population, methods identify objects
in still images, segment videos into short sequences called shots, and
compute features describing color, texture, shape, position, or motion
information. In database query, images and shots can be retrieved by
example (``Show me images similar to this image'') or by selecting
properties from pickers such as a color wheel, a sketched shape, a list
of camera motions, or a combination of these.
Key QBIC technical issues include a visual query language and a
graphical user interface that lets users form a query by painting,
sketching, or selecting graphical elements. Key also are indexing
techniques for high-dimensional features describing image and video
content, automatic segmentation techniques for images (to identify
interesting objects), and videos (to identify shots and interesting
moving and static objects), and similarity retrieval (to match human
perception).
QBIC technology has moved into the Multimedia and Digital Library
commercial IBM products.},
}