Method of constructing merge list

• US 11,089,307 B2
• Filed: 06/25/2019
• Issued: 08/10/2021
• Est. Priority Date: 11/07/2011
• Status: Active Grant

• Current Assignee: Gensquare LLC
• Original Assignee: Infobridge Pte. Ltd.
• Inventors: Oh, Soo Mi, Yang, Moonock
• Primary Examiner(s): Retallick, Kaitlin A
• Application Number:
  US16/452,105
• Publication Number:
  US 20190320182A1
• Time in Patent Office: 777 Days
• Field of Search: None
• CPC Class Codes: H04N 19/124 Quantisation
• CPC Class Codes: H04N 19/126 Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
• CPC Class Codes: H04N 19/139 Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• CPC Class Codes: H04N 19/174 the region being a slice, e.g. a line of blocks or a group of blocks
• CPC Class Codes: H04N 19/176 the region being a block, e.g. a macroblock
• CPC Class Codes: H04N 19/196 being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters processing of motion vectors H04N19/513
• CPC Class Codes: H04N 19/198 including smoothing of a sequence of encoding parameters, e.g. by averaging, by choice of the maximum, minimum or median value
• CPC Class Codes: H04N 19/463 by compressing encoding parameters before transmission
• CPC Class Codes: H04N 19/503 involving temporal prediction adaptive coding with adaptive selection between spatial and temporal predictive coding H04N19/107; adaptive coding with adaptive selection among a plurality of temporal predictive coding modes H04N19/109
• CPC Class Codes: H04N 19/51 Motion estimation or motion compensation
• CPC Class Codes: H04N 19/513 Processing of motion vectors
• CPC Class Codes: H04N 19/52 by predictive encoding
• CPC Class Codes: H04N 19/593 involving spatial prediction techniques

Abstract

An image decoding method using a merge mode, can include constructing a merge candidate list by using available spatial merge candidates and an available temporal merge candidate; generating a prediction block based on motion information derived by using the merge candidate list; inversely quantizing a quantization block by using a quantization parameter generated per quantization unit, wherein the quantization block is generated with quantization coefficient components; generating a residual block by inversely transforming the inversely quantized quantization block; deriving a reconstructed block by using the prediction block and the residual block, in which the spatial merge candidates are motion information of spatial merge candidate blocks, and the spatial merge candidate blocks are a left block, an above block, an above-right block, a left-below block or an above-left block of a current block, and a reference picture index of the temporal merge candidate is 0.

Claims

1. An image decoding method using a merge mode, the method comprising:

constructing a merge candidate list by using available spatial merge candidates and an available temporal merge candidate;

generating a prediction block based on motion information derived by using the merge candidate list;

inversely quantizing a quantization block by using a quantization parameter generated per quantization unit, wherein the quantization block is generated with quantization coefficient components;

generating a residual block by inversely transforming the inversely quantized quantization block;

deriving a reconstructed block by using the prediction block and the residual block,

wherein the spatial merge candidates are motion information of spatial merge candidate blocks, and the spatial merge candidate blocks are a left block, an above block, an above-right block, a left-below block or an above-left block of a current block,

wherein a reference picture index of the temporal merge candidate is 0,

wherein the quantization parameter is generated using a differential quantization parameter and a quantization parameter predictor, and the quantization parameter predictor is generated by using a left quantization parameter and an above quantization parameter if the left and the above quantization parameters are available,

wherein, when only one of the left quantization parameter and the above quantization parameter is available, the quantization parameter is generated using the available quantization parameter and a previous quantization parameter, and

wherein, when the left and above quantization parameters are not present, the previous quantization parameter is set as the quantization parameter predictor.

2. The method of claim 1, wherein the quantization unit includes at least one coding unit, and a size of the quantization unit is adjusted per a picture.

3. The method of claim 1, wherein each of the quantization unit includes the differential quantization parameter.

4. The method of claim 1, wherein the quantization parameter predictor is generated per the quantization unit.

5. The method of claim 1, wherein one or more candidates are added in the merge candidate list if a number of available spatial and temporal merge candidates is smaller than a predetermined number.

6. The method of claim 1, if a current coding unit has an allowed minimum size, asymmetric partitioning is not allowed.

7. The method of claim 1, wherein a motion vector of the temporal merge candidate is a motion vector of a temporal merge candidate block within a temporal merge candidate picture, and a position of the temporal merge candidate block is determined depending on a position of a current prediction unit within an LCU.