Digital Video Tamper Detection Based on Multimodal Fusion of Residue Features

@article{Chetty2010DigitalVT,
  title={Digital Video Tamper Detection Based on Multimodal Fusion of Residue Features},
  author={Girija Chetty and Monica Biswas and Rashmi Singh},
  journal={2010 Fourth International Conference on Network and System Security},
  year={2010},
  pages={606-613}
}
In this paper, we propose novel algorithmic models based on feature transformation in cross-modal subspace and their multimodal fusion for different types of residue features extracted from several intra-frame and inter frame pixel sub-blocks in video sequences for detecting digital video tampering or forgery. An evaluation of proposed residue features – the noise residue features and the quantization features, their transformation in cross-modal subspace, and their multimodal fusion, for… CONTINUE READING

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