In-sequence video duplicate detection with fast point-to-line matching

Bo Liu*, Zhu Li, Meng Wang, Aggelos K Katsaggelos

*Corresponding author for this work

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

2 Scopus citations

Abstract

A computational geometry approach is developed to detect video duplicate with mild transformations. We model the video sequence as a trajectory after scaling and projection. Through interpolation and equal curve length sampling, part of the frame points is selected. A simplified video representation is the line segment set connecting the left neighboring points. For a given query, match distortion is calculated by projecting the query frame points to the line segment set guided by the frame temporal relationship. Experiments demonstrate the effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages1037-1040
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period9/26/109/29/10

Keywords

  • Cubic interpolation
  • Curve matching
  • Duplicate detection

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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