Parallel high-dimensional index structure using cell-based filtering for multimedia data

Authors:
Jae-Woo Chang;Yong-Ki Kim;Young-Jin Kim
Affiliations:
Dept. of Computer Eng., Chonbuk National Univ., Chonju, Chonbuk, South Korea;Dept. of Computer Eng., Chonbuk National Univ., Chonju, Chonbuk, South Korea;Dept. of Computer Eng., Chonbuk National Univ., Chonju, Chonbuk, South Korea
Venue:
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Year:
2006

Citing 11
Cited 0

Accounting for boundary effects in nearest neighbor searching

Proceedings of the eleventh annual symposium on Computational geometry
Nearest neighbor queries

SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A cost model for nearest neighbor search in high-dimensional data space

PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Horizontally divided signature files on a parallel machine architecture

Journal of Systems Architecture: the EUROMICRO Journal
Vertically-partitioned parallel signature file method

Journal of Systems Architecture: the EUROMICRO Journal - Heterogeneous distributed and parallel architectures: hardware, software and design tools
The K-D-B-tree: a search structure for large multidimensional dynamic indexes

SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
The TV-tree: an index structure for high-dimensional data

The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces

VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
The X-tree: An Index Structure for High-Dimensional Data

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A New High-Dimensional Index Structure Using a Cell-Based Filtering Technique

ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Design of a signature file method that accounts for non-uniform occurrence and query frequencies

VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11

Quantified Score

Hi-index	0.00

Visualization

Abstract

A large number of high-dimensional index structures suffer from the so called 'dimensional curse' problem, i.e., the retrieval performance becomes increasingly degraded as the dimensionality is increased. To solve this problem, the cell-based filtering scheme has been proposed, but it shows a linear decrease in performance as the dimensionality is increased. In this paper, we propose a parallel high-dimensional index structure using the cell-based filtering for multimedia data so as to cope with the linear decrease in retrieval performance. In addition, we devise data insertion, range query and k-NN query processing algorithms which are suitable for the cluster-based parallel architecture. Finally, we show that our parallel index structure achieves good retrieval performance in proportion to the number of servers in the cluster-based architecture and it outperforms a parallel version of the VA-File when the dimensionality is over 10.