REFERENCE PICTURE SELECTION FOR INTER-PREDICTION IN VIDEO CODING
A method of encoding a digital video is provided that improves inter-prediction for encoding using reference pictures. The method includes loading a sub-picture and a list of a plurality of candidate reference pictures at a video encoder, generating a plurality of candidate motion vectors by performing an integer-pel motion estimation operation, calculating a motion estimate score for each of the plurality of candidate motion vectors and selecting the one of the plurality of candidate reference pictures that is associated with the best motion estimate score as a best-match reference picture, performing additional integer-pel motion estimation operations on the best-match reference picture at one or more lower coding levels than the first coding level, refining motion vectors associated with the best-match reference picture at the first coding level and the one or more lower coding levels using fractional-pel motion estimation operations, and encoding the motion vectors into a bitstream.
1 . A method of encoding a digital video, comprising:
loading a sub-picture and a list of a plurality of candidate reference pictures at a video encoder;
generating a plurality of candidate motion vectors by performing an integer-pel motion estimation operation with said video encoder at a first coding level on each of said plurality of candidate reference pictures;
calculating a motion estimate score for each of said plurality of candidate motion vectors with said video encoder, and selecting the one of said plurality of candidate reference pictures that is associated with the best motion estimate score as a best-match reference picture;
performing additional integer-pel motion estimation operations with said video encoder on said best-match reference picture at one or more lower coding levels than said first coding level;
refining motion vectors associated with said best-match reference picture at said first coding level and said one or more lower coding levels with said video encoder using fractional-pel motion estimation operations; and
encoding said motion vectors into a bitstream with said video encoder.
2 . The method of claim 1 , wherein encoding said motion vectors into a bitstream comprises:
selecting between motion vectors associated with a first best-match reference picture found for a first list of candidate reference pictures and motion vectors associated with a second best-match reference picture found for a second list of candidate reference pictures; and
encoding the selected motion vectors into said bitstream.
3 . The method of claim 2 , wherein said first list is List 0 in HEVC and said second list is List 1 in HEVC.
4 . The method of claim 1 , wherein said motion estimate score is the sum of absolute differences between said sub-picture and a reference block pointed to by a candidate motion vector.
5 . The method of claim 1 , wherein said motion estimate score is the sum of absolute transformed differences between said sub-picture and a reference block pointed to by a candidate motion vector.
6 . The method of claim 1 , wherein said motion estimate score is a rate distortion cost between said sub-picture and a reference block pointed to by a candidate motion vector.
7 . The method of claim 1 , wherein said motion estimate score uses an average of previously encoded motion vectors for neighboring sub-pictures.
8 . The method of claim 1 , wherein said fractional-pel motion estimation operations are quarter-pixel motion estimation operations.
9 . The method of claim 1 , wherein said plurality of candidate reference pictures are original input reference pictures.
10 . A method of encoding a digital video, comprising:
loading a sub-picture and a list of a plurality of candidate reference pictures at a video encoder;
generating a plurality of candidate motion vectors by performing an integer-pel motion estimation operation with said video encoder at a first coding level on each of said plurality of candidate reference pictures;
calculating a motion estimate score for each of said plurality of candidate motion vectors with said video encoder;
selecting a plurality of best-match reference pictures, said plurality of best-match reference pictures being a subset of said plurality of candidate reference pictures that are associated with the best motion estimate scores, such that when said plurality of candidate reference pictures contains N candidate reference pictures, said plurality of best-match reference pictures contains M best-match reference pictures, where M is predetermined and 1<M<N;
performing additional integer-pel motion estimation operations with said video encoder on said plurality of best-match reference pictures at one or more lower coding levels than said first coding level;
refining motion vectors associated with said plurality of best-match reference pictures at said first coding level and said one or more lower coding levels with said video encoder using fractional-pel motion estimation operations;
selecting the best refined motion vectors associated with said plurality of best-match reference pictures; and
encoding the selected motion vectors into a bitstream with said video encoder.
11 . The method of claim 10 , wherein said fractional-pel motion estimation operations are quarter-pixel motion estimation operations.
12 . The method of claim 10 , wherein said plurality of candidate reference pictures are original input reference pictures.
13 . A video encoder, comprising:
a data transmission interface configured to receive a digital video; and
a processor configured to:
load a sub-picture from said digital video and a list of a plurality of candidate reference pictures for said sub-picture;
generate a plurality of candidate motion vectors by performing an integer-pel motion estimation operation at a first coding level on each of said plurality of candidate reference pictures;
calculate a motion estimate score for each of said plurality of candidate motion vectors with said video encoder;
select the one of said plurality of candidate reference pictures that is associated with the best motion estimate score as a best-match reference picture;
perform additional integer-pel motion estimation operations on said best-match reference picture at one or more lower coding levels than said first coding level;
refine motion vectors associated with said best-match reference picture at said first coding level and said one or more lower coding using fractional-pel motion estimation operations; and
encode said motion vectors into a bitstream.
14 . The video encoder of claim 13 , wherein encoding said motion vectors into a bitstream comprises:
selecting between motion vectors associated with a first best-match reference picture found for a first list of candidate reference pictures and motion vectors associated with a second best-match reference picture found for a second list of candidate reference pictures; and
encoding the selected motion vectors into said bitstream.
15 . The video encoder of claim 14 , wherein said first list is List 0 in HEVC and said second list is List 1 in HEVC.
16 . The video encoder of claim 13 , wherein said motion estimate score is the sum of absolute differences between said sub-picture and a reference block pointed to by a candidate motion vector.
17 . The video encoder of claim 13 , wherein said motion estimate score is the sum of absolute transformed differences between said sub-picture and a reference block pointed to by a candidate motion vector.
18 . The video encoder of claim 13 , wherein said motion estimate score is a rate distortion cost between said sub-picture and a reference block pointed to by a candidate motion vector.
19 . The video encoder of claim 13 , wherein said motion estimate score uses an average of previously encoded motion vectors for neighboring sub-pictures.
20 . The video encoder of claim 13 , wherein said fractional-pel motion estimation operations are quarter-pixel motion estimation operations.