New steganography methods are being proposed to embed secret information into text cover media in order to search for new possibilities employing languages other than English. This paper utilizes the advantages of diacritics in Arabic to implement text steganography. Diacritics -or Harakat -in Arabic are used to represent vowel sounds and can be found in many formal and religious documents. The proposed approach uses eight different diacritical symbols in Arabic to hide binary bits in the original cover media. The embedded data are then extracted by reading the diacritics from the document and translating them back to binary.
In this paper, we propose a no-reference quality assessment measure for high efficiency video coding (HEVC). We analyze the impact of network losses on HEVC videos and the resulting error propagation. We estimate channel-induced distortion in the video assuming we have access to the decoded video only without access to the bitstream or the decoder. Our model does not make any assumptions on the coding conditions, network loss patterns or error concealment techniques. The proposed approach relies only on the temporal variations of the power spectrum across the decoded frames. We validate our proposed quality measure by testing it on a variety of HEVC coded videos subject to network losses. Our simulation results show that the proposed model accurately captures channel-induced distortions. For the test videos, the correlation coefficients between the proposed measure and the fullreference SSIM values range between 0.70 and 0.80.
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