@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}, }