Calculation complexity control method for multi-viewpoint video coding and layering B frame predicting structure

A computationally complex, multi-view video technology, applied in the field of digital video signal coding, which can solve problems such as excessive fluctuations in the calculation amount of the encoder, affecting the normal operation of other tasks, etc.

Active Publication Date: 2012-01-25
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, in the actual application of video encoding, the entire application system usually has other related tasks running besides the video encoder. If the calculation amount of the encoder fluctuates too much, it may affect the normal operation of other tasks.

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  • Calculation complexity control method for multi-viewpoint video coding and layering B frame predicting structure
  • Calculation complexity control method for multi-viewpoint video coding and layering B frame predicting structure
  • Calculation complexity control method for multi-viewpoint video coding and layering B frame predicting structure

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Embodiment Construction

[0083] The present invention will be described in detail below in conjunction with the embodiments and accompanying drawings, but the present invention is not limited thereto.

[0084] Such as figure 1 Shown, a kind of computational complexity control method of multi-viewpoint video coding layered B frame prediction structure, comprises the following steps:

[0085] (1) input multi-viewpoint video data;

[0086] (2) Allocation of calculations to different granularity coding units;

[0087] (3) Calculation allocation is performed on macroblock inter-frame mode estimation;

[0088] (4) Allocation of computational load for inter-frame estimation;

[0089] The coding units with different granularities include four coding units with different granularities: GGOP, Super Frame (Super Frame, SF), frame and macroblock. Wherein, GGOP (Group of GOP) is GOP group, refers to the combination of all picture groups of different viewpoints in the same time period, and described picture gro...

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Abstract

The invention discloses a calculation complexity control method for a multi-viewpoint video coding and layering B frame predicting structure, comprising the following steps of: (1) inputting the multi-viewpoint data; (2) distributing the calculation amount to different particle size coding units; (3) distributing the calculation amount to the macroblock interframe mode evaluation; (4) distributing the calculation amount to the interframe evaluation. The invention is suitable for controlling the calculation complexity of the multi-viewpoint video coding and layering B frame predicting structure, can accurately control the integral calculation amount of the multi-viewpoint video coding, reduce the fluctuation of calculation amount, and maintain the distortion property of coding rate.

Description

technical field [0001] The invention relates to the field of digital video signal coding, in particular to a computational complexity control method for multi-viewpoint video coding layered B-frame prediction structure. Background technique [0002] With the rapid development of video capture and display technologies, many devices for 3D video scene applications have appeared, such as 3D TV and free-viewpoint TV. 3D video is gradually replacing traditional 2D video because it can provide users with a real visual experience. Multiview video (Multiview Video, MV) is video data obtained by shooting the same scene with cameras at different positions. It contains visual information from multiple perspectives and is an important 3D video data. Since the amount of multi-view video data doubles with the number of views, in order to solve the problem of its transmission and storage, multi-view video coding (Multiview Video Coding, MVC) efficiently compresses multi-view video data. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/26H04N7/32H04N13/00H04N19/30
Inventor 陈耀武朱威徐巍炜
Owner ZHEJIANG UNIV
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