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VisualSEEk: a fully automated content-based image query system (1996)
| Citations: | 750 - 31 self |
BibTeX
@INPROCEEDINGS{Smith96visualseek:a,
author = {John R. Smith and Shih-fu Chang},
title = {VisualSEEk: a fully automated content-based image query system},
booktitle = {},
year = {1996},
pages = {87--98},
publisher = {}
}
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Abstract
We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions. The system finds the images that contain the most similar arrangements of similar regions. Prior to the queries, the system automatically extracts and indexes salient color regions from the images. By utilizing efficient indexing techniques for color information, region sizes and absolute and relative spatial locations, a wide variety of complex joint color/spatial queries may be computed.
Keyphrases
content-based image query system image database similar arrangement visual feature color information similar region image region content-based retrieval integration relie complex joint color spatial query spatial layout new content-based image query system spatial arrangement hybrid system functional prototype system visualseek system region size index salient color region spatial query color region feature-based image similarity retrieval image indexing wide variety spatial query method relative spatial location
