Robust Adaptable Video Copy Detection

Video copy detection should be capable of identifying video copies subject to alterations e.g. in video contrast or frame rates. We propose a video copy detection scheme that allows for adaptable detection of videos that are altered temporally (e.g. frame rate change) and/or visually (e.g. change in contrast). Our query processing combines filtering and indexing structures for efficient multistep computation of video copies under this model. We show that our model successfully identifies altered video copies and does so more reliably than existing models.

Authors: Assent I., Kremer H.
Published in: Proc. 11th International Symposium on Spatial and Temporal Databases (SSTD 2009), Aalborg, Denmark.
Publisher: Springer - Heidelberg, Germany
Sprache: EN
Jahr: 2009
Seiten: 380-385
ISBN: 978-3-642-02981-3
Konferenz: SSTD
DOI:10.1007/978-3-642-02982-0_25
URL:SSTD 2009
Typ: Tagungsbeiträge
Forschungsgebiet: Exploration of Multimedia Databases