@article{(Open Science Index):https://publications.waset.org/pdf/7183,
	  title     = {Video Data Mining based on Information Fusion for Tamper Detection},
	  author    = {Girija Chetty and  Renuka Biswas},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we propose novel algorithmic models
based on information fusion and feature transformation in crossmodal
subspace 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 emulated copy-move
tamper scenario shows a significant improvement in tamper detection
accuracy as compared to single mode features without transformation
in cross-modal subspace.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {5},
	  year      = {2011},
	  pages     = {521 - 528},
	  ee        = {https://publications.waset.org/pdf/7183},
	  url   	= {https://publications.waset.org/vol/53},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 53, 2011},