Transform invariant video fingerprinting by NMF

Ozan Gursoy*, Bilge Gunsel, Neslihan Sengor

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Video fingerprinting is introduced as an effective tool for identification and recognition of video content even after putative modifications. In this paper, we present a video fingerprinting scheme based on non-negative matrix factorization (NMF). NMF is shown to be capable of generating discriminative, parts-based representations while reducing the dimensionality of the data. NMF's representation capacity can be fortified by incorporating geometric transformational duplicates of the base vectors into the factorization. Factorized base vectors are used as content based, representative features that uniquely describe the video content. Obtaining such base vectors by transformational NMF (T-NMF) is furthermore versatile in recognizing the attacked contents as copies of the original instead of considering them as a new content. Thus a novel approach for fingerprinting of video content based on T-NMF is introduced in this work and experimental results obtained on TRECVID data set are presented to demonstrate the robustness to geometric attacks and the improvement in the representation.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 13th International Conference, CAIP 2009, Proceedings
Pages452-459
Number of pages8
DOIs
Publication statusPublished - 2009
Event13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 - Munster, Germany
Duration: 2 Sept 20094 Sept 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5702 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
Country/TerritoryGermany
CityMunster
Period2/09/094/09/09

Keywords

  • Non-negative matrix factorization
  • Transformation invariance
  • Video fingerprinting

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