By Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla L

This e-book discusses effective prediction strategies for the present state of the art excessive potency Video Coding (HEVC) normal, targeting the compression of a variety of video signs, comparable to 3D video, mild Fields and usual pictures. The authors start with a assessment of the state of the art predictive coding tools and compression applied sciences for either second and 3D multimedia contents, which supplies a great place to begin for brand spanking new researchers within the box of photo and video compression. New prediction strategies that transcend the standardized compression applied sciences are then offered and mentioned. within the context of 3D video, the authors describe a brand new predictive set of rules for the compression of intensity maps, which mixes intra-directional prediction, with versatile block partitioning and linear residue becoming. New ways are defined for the compression of sunshine box and nonetheless pictures, which implement sparsity constraints on linear versions. The in the neighborhood Linear Embedding-based prediction process is investigated for compression of sunshine box photographs in keeping with the HEVC expertise. a brand new linear prediction approach utilizing sparse constraints can be defined, permitting more suitable coding functionality of the HEVC general, quite for photographs with complicated textures in keeping with repeated buildings. eventually, the authors current a brand new, generalized intra-prediction framework for the HEVC normal, which unifies the directional prediction equipment utilized in the present video compression criteria, with linear prediction equipment utilizing sparse constraints. Experimental effects for the compression of common photos are supplied, demonstrating the benefit of the unified prediction framework over the normal directional prediction modes utilized in HEVC standard.

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