Publicação em atas de evento científico
Spatial prediction based on self-similarity compensation for 3D holoscopic image and video coding
Caroline Conti (Conti, C.); João Lino (Lino, J.); Paulo Nunes (Nunes, P.); Luís Ducla Soares (Soares, L. D.); Paulo Lobato Correia (Correia, P. L.);
18th IEEE International Conference on Image Processing
Ano (publicação definitiva)
2011
Língua
Inglês
País
Estados Unidos da América
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Abstract/Resumo
Holoscopic imaging, also known as integral imaging, provides a solution for glassless 3D, and is promising to change the market for 3D television. To start, this paper briefly describes the general concepts of holoscopic imaging, focusing mainly on the spatial correlations inherent to this new type of content, which appear due to the micro-lens array that is used for both acquisition and display. The micro-images that are formed behind each micro-lens, from which only one pixel is viewed from a given observation point, have a high cross-correlation between them, which can be exploited for coding. A novel scheme for spatial prediction, exploring the particular arrangement of holoscopic images, is proposed. The proposed scheme can be used for both still image coding and intra-coding of video. Experimental results based on an H.264/AVC video codec modified to handle 3D holoscopic images and video are presented, showing the superior performance of this approach.
Agradecimentos/Acknowledgements
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Palavras-chave
Integral imaging,Holoscopic images and video,Micro-lenses,3D video,Spatial prediction
  • Ciências da Computação e da Informação - Ciências Naturais
Registos de financiamentos
Referência de financiamento Entidade Financiadora
3D VIVANT Comissão Europeia