By Komate Amphawan, Philippe Lenca (auth.), Borworn Papasratorn, Nipon Charoenkitkarn, Vajirasak Vanijja, Vithida Chongsuphajaisiddhi (eds.)
This e-book constitutes the lawsuits of the sixth overseas convention on Advances in info know-how, IAIT 2013, held in Bangkok, Thailand, in December 2013. The 23 revised papers awarded during this quantity have been conscientiously reviewed and chosen from a number of submissions. They care for all parts concerning utilized details technology.
Read Online or Download Advances in Information Technology: 6th International Conference, IAIT 2013, Bangkok, Thailand, December 12-13, 2013. Proceedings PDF
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Extra resources for Advances in Information Technology: 6th International Conference, IAIT 2013, Bangkok, Thailand, December 12-13, 2013. Proceedings
This research is ﬁnancially supported by Thailand’s Oﬃce of the Higher Education Commission, Thailand Research Fund, and Sripatum university (grant MRG5580114). The authors also thank Duane Wessels, National Science Foundation (grants NCR-9616602 and NCR-9521745) and the National Laboratory for Applied Network Research for the new trace data used in this study. 34 T. Banditwattanawong and P. Uthayopas References 1. : Intelligent client-side web caching scheme based on least recently used algorithm and neuro-fuzzy system.
Nonlinear Wavelet Methods for Recovery of Signals, Densities, and Spectra from Indirect and Noisy Data. In: Daubechies, I. ) Different Perspectives on Wavelets, Proceeding of Symposia in Applied Mathematics, vol. 47, pp. 173–205. Amer. Math. Soc, Providence (1993) 9. : High Capacity Image Steganography using Wavelet Transform and Genetic Algorithm. In: Multi Conference of Engineers and Computer Scientists, vol. 1 (2011) 10. : Bit-plane decomposition steganography using wavelet compressed video.
On the decryption side, Fig. 4 presents the steps which are described as follows: Doff pixel of the each frame of video file using the lifting discrete wavelet transforms. Then, decrypt the index files. The indices are used to locate frames and positions to hide. Extract the values from the coefficients. Save them to as image coefficients. Then perform the inverse lifting wavelet transforms to obtain the secret image. Start Video Transform frame video using Lifting multi-level wavelet secret image Steganography Video Extract coefficients from frames Index Decrypt indices Transforms image using inversed wavelet transform Secret image End Fig.