Efficient query processing in 3D motion capture databases via lower bound approximation of the gesture matching distance

C. Beecks, M. Hassani, F. Obeloer, T. Seidl

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Abstract

One of the most fundamental challenges when accessing gestural patterns in 3D motion capture databases is the definition of spatiotemporal similarity. While distance-based similarity models such as the Gesture Matching Distance on gesture signatures are able to leverage the spatial and temporal characteristics of gestural patterns, their applicability to large 3D motion capture databases is limited due to their high computational complexity. To this end, we present a lower bound approximation of the Gesture Matching Distance that can be utilized in an optimal multi-step query processing architecture in order to provide efficient query processing. We investigate the performance in terms of accuracy and efficiency based on 3D motion capture databases and show that our approach is able to achieve an increase in efficiency of more than one order of magnitude with a negligible loss in accuracy. © 2015 IEEE.
Original languageEnglish
Title of host publication2015 IEEE International Symposium on Multimedia (ISM 2015) : 14-16 December 2015, Miami, Florida, USA : Proceedings
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages148-153
Number of pages6
ISBN (Electronic)9781509003792
DOIs
Publication statusPublished - 25 Mar 2016
Externally publishedYes
Event2015 IEEE International Symposium on Multimedia (ISM 2015) - Florida International University , Miami Beach, United States
Duration: 14 Dec 201516 Dec 2015
http://www.globaleventslist.elsevier.com/events/2015/12/international-symposium-on-multimedia-ism/

Conference

Conference2015 IEEE International Symposium on Multimedia (ISM 2015)
Abbreviated titleISM 2015
CountryUnited States
CityMiami Beach
Period14/12/1516/12/15
Internet address

Keywords

  • 3D motion capture data
  • dynamic time warping
  • efficient query processing
  • gestural patterns
  • gesture matching distance
  • gesture signature
  • spatiotemporal data

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    Beecks, C., Hassani, M., Obeloer, F., & Seidl, T. (2016). Efficient query processing in 3D motion capture databases via lower bound approximation of the gesture matching distance. In 2015 IEEE International Symposium on Multimedia (ISM 2015) : 14-16 December 2015, Miami, Florida, USA : Proceedings (pp. 148-153). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISM.2015.86