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- Title
Video logo removal detection based on sparse representation.
- Authors
Su, Yuting; Jing, Peiguang; Jin, Xiao; Zou, Liang; Zhang, Chengqian; Song, Xuemeng
- Abstract
With the popularity of multimedia editing tools, more and more forged multimedia content appeared on the network. Thus, the legal authorities need novel techniques to distinguish copyright infringements from a large number of videos on the Internet. Since logo removal is a common editing operation during unauthorized reproduction, logo removal detection is often equivalent to copyright infringements detection to some extent. In this paper, we proposed a video forensics framework for logo removal detection. Our framework mainly contains two stages: the removal traces detection and the removal region location. In the first stage, we use sparse representation to show the difference between the tampered areas and the original areas in sparsity. In the second stage, spatial priors and temporal correlations are used to refine the location of the removal regions. Finally, a spatiotemporal suspected region can obviously show the edited regions. The proposed method is validated on our video logo removal dataset by extensive experiments, showing promising results.
- Subjects
MULTIMEDIA systems; EDITING; COPYRIGHT infringement; LOGO design; CRIMINAL investigation; COMPUTER crimes; STREAMING video &; television
- Publication
Multimedia Tools & Applications, 2018, Vol 77, Issue 22, p29303
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-018-5959-8