TY - GEN
T1 - Visual cube and On-Line Analytical Processing of images
AU - Jin, Xin
AU - Han, Jiawei
AU - Cao, Liangliang
AU - Luo, Jiebo
AU - Ding, Bolin
AU - Lin, Cindy Xide
PY - 2010
Y1 - 2010
N2 - On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, we propose Visual Cube and multi-dimensional OLAP of image collections, such as web images indexed in search engines (e.g., Google and Bing), product images (e.g. Amazon) and photos shared on social networks (e.g., Facebook and Flickr). It provides online responses to user requests with summarized statistics of image information and handles rich semantics related to image visual features. A clustering structure measure is proposed to help users freely navigate and explore images. Efficient algorithms are developed to construct Visual Cube. In addition, we introduce the new issue of Cell Overlapping in data cube and present efficient solutions for Visual Cube computation and OLAP operations. Extensive experiments are conducted and the results show good performance of our algorithms.
AB - On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, we propose Visual Cube and multi-dimensional OLAP of image collections, such as web images indexed in search engines (e.g., Google and Bing), product images (e.g. Amazon) and photos shared on social networks (e.g., Facebook and Flickr). It provides online responses to user requests with summarized statistics of image information and handles rich semantics related to image visual features. A clustering structure measure is proposed to help users freely navigate and explore images. Efficient algorithms are developed to construct Visual Cube. In addition, we introduce the new issue of Cell Overlapping in data cube and present efficient solutions for Visual Cube computation and OLAP operations. Extensive experiments are conducted and the results show good performance of our algorithms.
KW - Data cube
KW - Image management
KW - OLAP
UR - http://www.scopus.com/inward/record.url?scp=78651328102&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651328102&partnerID=8YFLogxK
U2 - 10.1145/1871437.1871546
DO - 10.1145/1871437.1871546
M3 - Conference contribution
AN - SCOPUS:78651328102
SN - 9781450300995
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 849
EP - 858
BT - CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
T2 - 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
Y2 - 26 October 2010 through 30 October 2010
ER -