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Prediction and coding of bi-directionally predicted video object planes for interlaced digital video

A technology of digital video and coding method, which is applied in the direction of digital video signal modification, image coding, character and pattern recognition, etc., and can solve problems such as ME/MC influence

Inactive Publication Date: 2005-05-25
MOTOROLA MOBILITY LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] However, if the MB itself is interleaved, and / or an interleaved reference picture is used, there will be a significant impact on the ME / MC of the macroblock (MB) in the B-VOP

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  • Prediction and coding of bi-directionally predicted video object planes for interlaced digital video
  • Prediction and coding of bi-directionally predicted video object planes for interlaced digital video
  • Prediction and coding of bi-directionally predicted video object planes for interlaced digital video

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Embodiment Construction

[0033] Accordingly, the term "VOP" is used herein to represent random or non-random (ie, rectangular) graphic data shapes. A sectoral time scale is obtained using known techniques and has a format similar to ITU-R 601 luminance data. Each pixel is considered to belong to a certain region within the video frame.

[0034]Frame 105 and the VOP data from frame 115 are provided to a separate encoding function. Specifically, VOPs 117, 118 and 119 are shape, motion and texture encoded in encoders 137, 138 and 139, respectively. Binary and gray chroma shape information is encoded in shape coding. In motion coding the shape information is encoded using motion estimates within a frame. A local transformation such as DCT is performed in texture coding, and a transformation coefficient is obtained from it, which can change the length of the code to facilitate compression.

[0035] A multiplexer (MUX) 140 is then used to combine the encoded VOP data for transmission over channel 145 . ...

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Abstract

A system for coding digital video pictures in bidirectional predictive video object planes (B_VOPs). For a B-VOP macro sub-block at the same position as a future fixed picture, the predicted macro sub-block is generated by calculating four field motion vectors to perform direct prediction. The four field motion vectors and the reference field are based on (1) a deviation term (MVD) of the coding vector of the current macro sub-block, (2) two future fixed image field motion vectors, (3) future fixed macro sub-blocks with the same position The reference field used by the two field motion vectors, and (4) the time gap in the field period between the current B-VOP field and the fixed field is determined.

Description

[0001] This application is a divisional application of the Chinese patent application with the application number 98102468.8, the filing date is March 7, 1998, and the invention title is "Prediction and Coding of Video Object Plane for Bidirectional Prediction of Interlaced Digital Video". technical field [0002] The present invention relates to a method and apparatus thereof for predicting and coding digital video pictures such as Bidirectionally Predictive Video Object Planes (B_VOPs), in particular B-VOPs and / or reference pictures used therein for coding B-VOPs is interleaved encoding. Background technique [0003] The present invention is particularly applicable to a variety of multimedia devices and is compatible with that described in the ISO / IEC / JTC1 / SC29 / WG11 / N1796 document entitled "MPEG-4 Video Verification Model Version 8.0", Stockholm, July 1997, which is available for reference herein. MPEG-4 Verification Model (VM) 8.0 standard (MPEG-4 VM 8.0) compatible. The...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46H04N7/32G06T9/00H04N7/26H04N7/30H04N7/36H04N7/46H04N7/50H04N19/593H04N19/94
CPCH04N19/563H04N19/56H04N19/105H04N19/51H04N19/63H04N19/61H04N19/593H04N19/107H04N19/112H04N19/137H04N19/186H04N19/517H04N19/583H04N19/577H04N19/649H04N19/17
Inventor 罗伯特·O·艾弗雷格陈学敏阿贾伊·卢特拉
Owner MOTOROLA MOBILITY LLC