A Study on Disparity Compensated Prediction for Multi-view Video

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  • SENOH Takanori
    Research Center for Advanced Science & Technology, The University of Tokyo
  • AOKI Terumasa
    Research Center for Advanced Science & Technology, The University of Tokyo
  • YASUDA Hiroshi
    Center for Collaborative Research, The University of Tokyo
  • KOGURE Takuyo
    Center for Collaborative Research, The University of Tokyo

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Other Title
  • 多視点映像の視差補償予測の検討
  • タシテン エイゾウ ノ シサ ホショウ ヨソク ノ ケントウ

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Abstract

For the future television system, multi-view video coding is under the standardization in International Standardization Organization, which is used for arbitrary view-point image synthesis or volumetric image presentation. Conventional motion compensated frame prediction can be applied to the spatial prediction between camera images. If the camera arrangement is known, a faster and more accurate prediction will be feasible. In this paper, assuming the object face direction, the relationship between camera images is analyzed and their utilization for block displacement and deformation prediction is investigated. Preliminary experiments showed bi-directional prediction, variable block size prediction and reference block shape compensation are suitable for disparity compensation. The possibility of block displacement vector compression and block shape information compression is also investigated utilizing the relationship between them.

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