By Nilanjan Dey
This publication proposes new algorithms to make sure secured communications and forestall unauthorized info trade in secured multimedia structures. targeting various functions’ algorithms and eventualities, it deals an in-depth research of knowledge hiding applied sciences together with watermarking, cryptography, encryption, reproduction keep an eye on, and authentication. The authors current a framework for visible facts hiding applied sciences that resolves rising difficulties of recent multimedia functions in different contexts together with the clinical, healthcare, schooling, and instant communique networking domain names. additional, it introduces a number of clever safeguard strategies with real-time implementation.
As a part of its accomplished assurance, the booklet discusses modern multimedia authentication and fingerprinting strategies, whereas additionally offering own authentication/recognition structures in response to hand photographs, surveillance process safety utilizing gait reputation, face acceptance below limited constraints equivalent to dry/wet face stipulations, and three-d face id utilizing the strategy built here.
This e-book equips conception expertise pros with the newest applied sciences, ideas, and methods for multimedia defense structures, supplying a invaluable source for engineers and researchers operating to strengthen safeguard systems.
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Extra info for Intelligent Techniques in Signal Processing for Multimedia Security
These techniques are based on geometric transformation. 1 Mesh Morphing Mesh morphing falls into a category of geometric correspondence problem. How the control points of one mesh should be mapped to another mesh is a research problem. Many approaches to the correspondence problem have been described, but there appears to be no general solution. Klein  has merged the various mesh connectivities under a projection. This works well for star-shaped, swept or revolutionary objects. There are some general problems arising while re-meshing process.
5 51 Afﬁne Transformation and Triangular Warping Suppose there are two triangles ABC and DEF. An afﬁne transformation is a linear mapping from one triangle to another. For every pixel p within triangle ABC, it is assumed that the position of p is a linear combination of A, B and C vectors. The transformation is given by the following equations: p ¼ k1 A þ k2 B þ k3 C k1 þ k2 þ k3 ¼ 1 ð1Þ ki ! 0 ð2Þ q ¼ TðpÞ ¼ k1 D þ k2 E þ k3 F ð3Þ Here, λ1 and λ2 are unknown and there are two equations for each of the two dimensions.
Chen and Williams [24, 25] previously considered this special case arguing that linear image interpolation should produce new perspective views when the camera moves parallel to the image plane. In addition to changes in view point, view morphing accommodates changes in projective shape. By using this, view morphing enables transition between images of different objects that gives strong sense of metamorphosis in 3D. View morphing relies exclusively on image information. 1 Specialized Methods Layered Morphing Method Layered morphing consists of two kinds of processes.