IP Library Granted Patent US 8,855,204
Granted Patent B2
US 8,855,204 · App. 12/085,987 · Granted Oct 7, 2014

Method of predicting motion and texture data

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Quick Facts
Patent No.
US 8,855,204
App. No.
12/085,987
Granted
Oct 7, 2014
Kind
B2
Abstract

The invention relates to a method for generating for at least one block of pixels of a picture of a sequence of interlaced pictures at least one motion predictor and at least one texture predictor from motion data, respectively texture data, associated with the pictures of a sequence of low resolution interlaced pictures.

Claims (14)

1. Method, as part of a scalable encoding or decoding method, for generating for at least one block of pixels of a picture of a high resolution sequence of high resolution interlaced pictures at least one motion predictor from motion data associated with the pictures of a low resolution sequence of low resolution interlaced pictures each interlaced picture comprising a top field interlaced with a bottom field and able to be coded in frame mode or in field mode, each field of an interlaced picture having associated with it a temporal reference, wherein the method comprises

generating said at least one motion predictor from the motion data associated with at least one block of pixels of the top field of a low resolution picture of the same temporal reference as the top field of said high resolution picture when said low resolution picture is coded in field mode;

generating said at least one motion predictor from the motion data associated with at least one block of pixels of the bottom field of said low resolution picture of the same temporal reference as the bottom field of said high resolution picture when said low resolution picture is coded in field mode; and

generating said at least one motion predictor from the motion data associated with at least one block of pixels of a low resolution picture comprising a field with the same temporal reference as the top field or bottom field of the high resolution picture when said low resolution picture is coded in frame mode.

2. Method according to claim 1 , wherein generating said at least one motion predictor for said at least one block of pixels of said high resolution picture comprises subsampling said motion data associated with said at least one block of pixels of said top field of a low resolution picture of the same temporal reference as the top field of said high resolution picture with a horizontal inter-layer ratio in the horizontal direction of the picture and a vertical inter-layer ratio in the vertical direction of the picture.

3. Method according to claim 1 , wherein generating said at least one motion predictor for said at least one block of pixels of said high resolution picture comprises subsampling said motion data associated with said at least one block of pixels of said bottom field of said low resolution picture of the same temporal reference as the bottom field of said high resolution picture with a horizontal inter-layer ratio in the horizontal direction of the picture and a vertical inter-layer ratio in the vertical direction of the picture.

4. Method according to claim 1 , wherein generating said at least one motion predictor for said at least one block of pixels of said high resolution picture comprises subsampling said motion data associated with said at least one block of pixels of said low resolution picture comprising a field with the same temporal reference as the top field or bottom field of the high resolution picture with a horizontal inter-layer ratio in the horizontal direction of the picture and a vertical inter-layer ratio in the vertical direction of the picture.

5. Method according to claim 1 , wherein the method further comprises, for said block of pixels of said high resolution picture:

generating at least one texture predictor from the texture data associated with at least one block of pixels of the top field of a low resolution picture of the same temporal reference as the top field of said high resolution picture; and/or

generating at least one texture predictor from the texture data associated with at least one block of pixels of the bottom field of a low resolution picture of the same temporal reference as the bottom field of said high resolution picture; and/or

generating at least one texture predictor from the texture data associated with at least one block of pixels of each of said top and bottom fields of said low resolution picture.

6. Method according to claim 1 , wherein the motion data associated with the low resolution pictures comprises motion vectors.

7. Method according to claim 6 , wherein the motion vectors associated with a low resolution picture coded in frame mode or with each of the top and bottom fields of a low resolution picture coded in field mode have the same parity.

8. Method according to claim 7 wherein the low resolution pictures are encoded according to the MPEG-4 AVC standard.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 23, 2018
From: THOMSON LICENSING
To: INTERDIGITAL VC HOLDINGS, INC.
Reel/Frame 047289/0698 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 23, 2009
From: VIERON, JEROME; BOTTREAU, VINCENT; LOPEZ, PATRICK
To: THOMSON LICENSING
Reel/Frame 023301/0195 →