Global distance-based segmentation of trajectories

Authors:
Aris Anagnostopoulos;Michail Vlachos;Marios Hadjieleftheriou;Eamonn Keogh;Philip S. Yu
Affiliations:
Brown University;IBM T. J. Watson Research Center;AT&T Labs - Research;University of California Riverside;IBM T.J. Watson Research Center
Venue:
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2006

Citing 11
Cited 17

I-COLLIDE: an interactive and exact collision detection system for large-scale environments

I3D '95 Proceedings of the 1995 symposium on Interactive 3D graphics
FlyThru the Boeing 777

SIGGRAPH '96 ACM SIGGRAPH 96 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '96
Locally adaptive dimensionality reduction for indexing large time series databases

SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Efficient k-NN search on vertically decomposed data

Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Efficient Indexing of Spatiotemporal Objects

EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Efficient Similarity Search In Sequence Databases

FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Trajectory Segmentation Using Dynamic Programming

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Indexing multi-dimensional time-series with support for multiple distance measures

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Query-sensitive embeddings

Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A trajectory splitting model for efficient spatio-temporal indexing

VLDB '05 Proceedings of the 31st international conference on Very large data bases
Modeling Multiple Time Series for Anomaly Detection

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Predicting future locations using clusters' centroids

Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Interactive mining and semantic retrieval of videos

Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)
On-line discovery of hot motion paths

EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
On efficiently searching trajectories and archival data for historical similarities

Proceedings of the VLDB Endowment
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases

IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?

IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Querying trajectories using flexible patterns

Proceedings of the 13th International Conference on Extending Database Technology
A random-periods model for the comparison of a metrics efficiency to classify cell-cycle expressed genes

Pattern Recognition Letters
An algorithmic framework for segmenting trajectories based on spatio-temporal criteria

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Top-k queries on temporal data

The VLDB Journal — The International Journal on Very Large Data Bases
Anomaly detection for travelling individuals with cognitive impairments

ACM SIGACCESS Accessibility and Computing
Unsupervised trajectory sampling

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Similarity in (spatial, temporal and) spatio-temporal datasets

Proceedings of the 15th International Conference on Extending Database Technology
An adaptive approach for online segmentation of multi-dimensional mobile data

MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
Ranking large temporal data

Proceedings of the VLDB Endowment
Optimal splitters for temporal and multi-version databases

Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Warped K-Means: An algorithm to cluster sequentially-distributed data

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work introduces distance-based criteria for segmentation of object trajectories. Segmentation leads to simplification of the original objects into smaller, less complex primitives that are better suited for storage and retrieval purposes. Previous work on trajectory segmentation attacked the problem locally, segmenting separately each trajectory of the database. Therefore, they did not directly optimize the inter-object separability, which is necessary for mining operations such as searching, clustering, and classification on large databases. In this paper we analyze the trajectory segmentation problem from a global perspective, utilizing data aware distance-based optimization techniques, which optimize pairwise distance estimates hence leading to more efficient object pruning. We first derive exact solutions of the distance-based formulation. Due to the intractable complexity of the exact solution, we present anapproximate, greedy solution that exploits forward searching of locally optimal solutions. Since the greedy solution also imposes a prohibitive computational cost, we also put forward more light weight variance-based segmentation techniques, which intelligently "relax" the pairwise distance only in the areas that affect the least the mining operation.