VisualSEEk: A Fully Automated Content-Based Image Query System

@inproceedings{citeulike:1509685, abstract = {1 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...}, author = {Smith, John R. and Chang, Shih F. }, booktitle = {ACM Multimedia}, citeulike-article-id = {1509685}, keywords = {image, searching}, pages = {87--98}, posted-at = {2007-07-28 08:24:20}, priority = {2}, title = {VisualSEEk: A Fully Automated Content-Based Image Query System}, url = {http://citeseer.ist.psu.edu/smith96visualseek.html}, year = {1996} }

TY - CONF ID - citeulike:1509685 L3 - citeulike-article-id:1509685 TI - VisualSEEk: A Fully Automated Content-Based Image Query System T2 - ACM Multimedia SP - 87 EP - 98 N2 - 1 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... KW - image KW - searching AU - Smith, John AU - Chang, Shih PY - 1996/// UR - http://citeseer.ist.psu.edu/smith96visualseek.html ER -