A kd-tree based dynamic indexing scheme for video retrieval and geometry matching

Li Gao*, Zhu Li, Aggelos K Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Efficient indexing is a key in content-based video retrieval solutions. In this paper we propose a new dynamic indexing scheme based on the kd-tree structure. Video sequences are first represented as traces in an appropriate low dimensional space via luminance field scaling and PCA projection. Then, the indexing scheme is applied to give the video database a manageable structure. Being able to handle dynamic video clip insertions and deletions is an essential part of this solution. At the beginning, an ordinary kd-tree is created for the initial database. As new video traces are added to the database, they will be added to the indexing tree structure as well. A tree node will be split if its size exceeds a certain threshold. If the tree structure un-balance level exceeds a threshold, merging and re-splitting will be performed. Preliminary experiments showed that merging and re-splitting will ensure the efficiency of the indexing scheme.

Original languageEnglish (US)
Title of host publication2008 Proceedings of 17th International Conference on Computer Communications and Networks, ICCCN 2008
Pages940-944
Number of pages5
DOIs
StatePublished - Dec 26 2008
Event17th International Conference on Computer Communications and Networks, ICCCN 2008 - St. Thomas, Virgin Islands, U.S.
Duration: Aug 3 2008Aug 7 2008

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055

Other

Other17th International Conference on Computer Communications and Networks, ICCCN 2008
CountryVirgin Islands, U.S.
CitySt. Thomas
Period8/3/088/7/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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