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US 2006/0132610 A1Published application
Multiview video decomposition and encoding
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorsJun Xin, Emin Martinian, Anthony Vetro
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Abstract
A method decomposes multiview video acquired of a scene by multiple cameras. Each multiview video includes a sequence of frames, and each camera provides a different view of the scene. A prediction mode is selected from a temporal prediction mode, a spatial prediction mode, and a view interpolation prediction mode. The multiview videos are then decomposed into low band frames, high band frames, and side information according to the selected prediction mode.
Claims21
A method for decomposing multiview videos, comprising:
- acquiring a plurality of videos of a scene by a plurality of cameras, each video including a plurality of frames and each camera providing a different view of the scene;
- selecting a prediction mode in which the prediction mode is selected from a temporal prediction mode, a spatial prediction mode, and a view interpolation prediction mode;
- and
- decomposing, according to the selected prediction mode, the plurality of frames of the videos into a plurality of low band frames, a plurality of high band frames, and side information.
1 more element
A system for decomposing multiview videos, comprising:
- a plurality of cameras configured to acquire a plurality of videos of a scene, each video including a plurality of frames and each camera providing a different view of the scene;
- means for selecting a prediction mode, in which the prediction mode is selected from a temporal prediction, a spatial prediction, and a view interpolation prediction;
- and
- means for decomposing, according to the selected prediction mode, the plurality of frames of the videos into a plurality of low band frames, a plurality of high band frames, and side information, and in which for the temporal prediction the side information corresponds to motion information, for the spatial prediction the side corresponds to disparity information, and for the view interpolation prediction the side information corresponds to motion, disparity and depth information.
1 more element
Dependencies are inferred from the claim text.