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Multimedia Systems
Erschienen in: Multimedia Systems 5/2018

15.12.2017 | Regular Paper

Frame duplication detection based on BoW model

verfasst von: Guzin Ulutas, Beste Ustubioglu, Mustafa Ulutas, Vasif V. Nabiyev

Erschienen in: Multimedia Systems | Ausgabe 5/2018

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Abstract

Duplicated sequence of frames in a video to cover up or replicate a scene is a video forgery. There are methods to authenticate video files, but embedding authentication information into videos requires extra hardware or software. It is possible to detect frame duplication forgery by carefully inspecting the content to discover high correlation among group of frames. A new frame duplication detection method based on Bag-of-Words (BoW) model is proposed in this paper. BoW is a model used in textual analysis first and image and video retrieval later by researchers. We used BoW to create visual words and build a dictionary from Scale Independent Feature Transform (SIFT) keypoints of frames in video. Frame features, i.e., visual word representations at keypoints, are used to detect sequence of duplicated parts in the video. The method computes thresholds depending on the content to improve both robustness and performance. The proposed method is tested on 31 test videos selected from Surrey University Library for Forensic Analysis (SULFA) and from various movies. Experimental results show a better detection performance and reduced run time compared to similar methods reported in the literature.
Vorheriger Artikel Traffic prediction methods for quality improvement of adaptive video
Nächster Artikel A novel two-stream saliency image fusion CNN architecture for person re-identification

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Metadaten
Titel
Frame duplication detection based on BoW model
verfasst von
Guzin Ulutas
Beste Ustubioglu
Mustafa Ulutas
Vasif V. Nabiyev
Publikationsdatum
15.12.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Multimedia Systems / Ausgabe 5/2018
Print ISSN: 0942-4962
Elektronische ISSN: 1432-1882
DOI
https://doi.org/10.1007/s00530-017-0581-6

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