Robust video retrieval with luminance field trace indexing and geometry matching

Li Gao*, Zhu Li, Aggelos K Katsaggelos

*Corresponding author for this work

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

Abstract

Efficient indexing and robust retrieval are key features for an effective video retrieval system. In this paper we represent video sequences as traces in an appropriate low dimensional space via luminance field scaling and PCA projection, and introduce a combination of top-down and bottom-up strategies for indexing. Various means of introducing distortions in query clips are considered and several heuristics are developed to achieve robustness in retrieval performance. Simulation results demonstrate the effectiveness of the proposed solutions.

Original languageEnglish (US)
Title of host publicationCBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing, Proceedings
Pages99-105
Number of pages7
DOIs
StatePublished - Dec 1 2007
EventCBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing - Bordeaux, France
Duration: Jun 25 2007Jun 27 2007

Other

OtherCBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing
CountryFrance
CityBordeaux
Period6/25/076/27/07

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management

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