Data Hiding in AVI Video Files using Multivariate Regression and Flexible Macro block Ordering

نویسنده

  • Siva Kumar
چکیده

The H.264/AVC standard gives a few new slip flexible peculiarities to empower the dependable transmission of compacted feature motions over lossy bundle systems. Adaptable Macroblock Ordering (FMO) is a standout amongst the most fascinating strong peculiarities inside the H.264/AVC standard. Dissimilar to previous principles, in which cuts were built out of sequential raster check macroblocks, FMO recommends new cuts made out of spatially appropriated Macroblocks (MBs), and sorted out in a stirred up style. H.264/AVC points out seven sorts of FMO. The standard characterizes additionally an unequivocal FMO (Type 6), which permits expressly task of every MB inside the casing to any accessible cut gatherings. Subsequently new FMO sorts can be utilized and incorporated into H264/AVC without disregarding the standard. In this paper we propose another Explicit Chessboard-Wipe (ECW) Flexible Macroblocks Ordering (FMO) method, which beats all other FMO sorts. The new ECW requesting results in compelling blunder dissipating which augments the quantity of accurately got macroblocks placed around debased macroblocks, prompting better mistake disguise. Execution assessments show that the proposed Explicit FMO methodology beats all the FMO sorts. Both subjective and target visual quality similar study has been likewise completed keeping in mind the end goal to approve the proposed methodology.

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تاریخ انتشار 2015