WO2007089068A1 - Procédé et appareil d'estimation de mouvement à base de bloc - Google Patents

Procédé et appareil d'estimation de mouvement à base de bloc Download PDF

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Publication number
WO2007089068A1
WO2007089068A1 PCT/KR2006/004689 KR2006004689W WO2007089068A1 WO 2007089068 A1 WO2007089068 A1 WO 2007089068A1 KR 2006004689 W KR2006004689 W KR 2006004689W WO 2007089068 A1 WO2007089068 A1 WO 2007089068A1
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WO
WIPO (PCT)
Prior art keywords
block
blocks
video
search points
degree
Prior art date
Application number
PCT/KR2006/004689
Other languages
English (en)
Inventor
Chang-Woo Lee
Yoon-Cheol Shin
Original Assignee
Samsung Electronics Co., Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Samsung Electronics Co., Ltd. filed Critical Samsung Electronics Co., Ltd.
Priority to EP06812523A priority Critical patent/EP1980113A4/fr
Priority to JP2008553143A priority patent/JP5089610B2/ja
Priority to CN2006800296659A priority patent/CN101243691B/zh
Publication of WO2007089068A1 publication Critical patent/WO2007089068A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/533—Motion estimation using multistep search, e.g. 2D-log search or one-at-a-time search [OTS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/567—Motion estimation based on rate distortion criteria
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/56—Motion estimation with initialisation of the vector search, e.g. estimating a good candidate to initiate a search

Definitions

  • the present invention relates to a video signal compression system, and more particularly, to a method and apparatus for motion estimation, in which a motion vector is obtained by allocating a search point for each block in a frame having a plurality of block groups.
  • PC personal computers
  • HDTV high-definition televisions
  • PAL Phase Alternation Line
  • NTSC National Television System Committee
  • FRC Frame rate conversion
  • MPEG Moving Picture Experts Group
  • the BMA includes a full search method and a three step search (TSS) method.
  • the TSS method provides optimal motion estimation by searching for a matching point while reducing the interval of a step from a search center.
  • FlG. 1 is a conceptual view for explaining a conventional TSS method. In FlG. 1,
  • 101 denotes a search area of a reference frame
  • 102 denotes a reference block of the reference frame
  • 103 denotes a block of a current frame
  • 104 denotes a search point.
  • the present invention provides a method of block-based motion estimation, in which an initial motion vector is estimated by allocating different search points for blocks in a frame having a plurality of block groups, thereby reducing the amount of computation and providing accurate motion estimation.
  • the present invention also provides an apparatus for block-based motion estimation, in which an initial motion vector is estimated by allocating different search points for blocks in a frame having a plurality of block groups.
  • FlG. 1 is a conceptual view for explaining a conventional three step search (TSS) method
  • FlG. 2 is a graph illustrating sums of absolute difference (SADs) according to the
  • FlG. 3 is a block diagram of an apparatus for block-based motion estimation according to an embodiment of the present invention.
  • FlG. 4 illustrates an example in which different search points are allocated for blocks in block groups of a video frame
  • FIGS. 5 through 8 illustrate examples in which different search points are allocated for the blocks of FIG. 4;
  • FlG. 9 is a conceptual view for explaining motion estimation of a first error matching unit of the apparatus of FlG. 3;
  • FlG. 10 is a conceptual view for explaining motion estimation of a second error matching unit of the apparatus of FlG. 3;
  • FlG. 11 is a flowchart illustrating a method of block-based motion estimation according to an embodiment of the present invention.
  • a video motion estimation method including allocating different search points for blocks in each block group of an input video frame, estimating candidate motion vectors for the blocks by measuring the degree of block distortion between frames at each of the allocated search points, and measuring the degree of block distortion to which each of the estimated candidate motion vectors is applied, by applying the estimated candidate motion vectors to a current block, and determining the candidate motion vector having the minimum degree of block distortion to be a final motion vector of the current block.
  • a video motion estimation apparatus including a search point allocating unit, an error matching unit, and a motion vector determining unit.
  • the search point allocating unit allocates different search points for blocks in each block group of an input video frame.
  • the error matching unit estimates initial motion vectors for the blocks by measuring the degree of block distortion between frames at each of the allocated search points.
  • the motion vector determining unit measures the degree of block distortion to which each of the estimated candidate motion vectors is applied, by applying the estimated candidate motion vectors to a current block, and determines the initial motion vector having the minimum degree of block distortion to be a motion vector of the current block.
  • FlG. 3 is a block diagram of an apparatus for block-based motion estimation according to an embodiment of the present invention.
  • the apparatus for block-based motion estimation includes a search point allocating unit 310, a first error matching unit 320, and a motion vector determining unit 330.
  • the motion vector determining unit 330 includes a second error matching unit 332, a weight multiplying unit 334, and a minimum value selecting unit 336.
  • the two video frames include a current frame and a reference frame that is temporally adjacent to the current frame.
  • the search point allocating unit 310 divides the reference frame into a plurality of block groups and allocates different search points for blocks in each block group.
  • FlG. 4 illustrates an example in which different search points are allocated for blocks in block groups of a video frame. Referring to FlG. 4, the entire area of the reference frame is divided into 8x8 pixel blocks and the 8x8 pixel blocks are grouped into 2x2 block groups. The block groups are of a 2x2 type, but may be of a 3x3 or 4x4 type. Thus, different search points are allocated for blocks in each block group in the reference frame to allow searches for motions of different sizes and types in the blocks.
  • FIGS. 5 through 8 illustrate examples in which different search points are allocated for the blocks of FlG. 4.
  • FlG. 4 illustrate examples in which different search points are allocated for the blocks of FlG. 4.
  • FIG. 5 illustrates search points that are allocated for estimation of a motion vector of a block 401 of FlG. 4.
  • 501 denotes a search range
  • 502 denotes a block
  • 503 denotes a center search point
  • 504 denotes search points.
  • the range of search points 504 used to search for a large motion in the horizontal direction is horizontally + 11 pixels and vertically + 4 pixels from the center search point 503.
  • FlG. 6 illustrates search points that are allocated for estimation of a block 402 of FlG. 4.
  • the range of search points used to search for a middle motion in the horizontal direction is horizontally +8 pixels and vertically + 4 pixels from the center search point.
  • the first error matching unit 320 matches the reference frame, for which the search points are allocated by the search point allocating unit 310, with the input current frame to generate initial motion vectors MVl through MV4 for blocks.
  • MVl, MV2, MV3, and MV4 are generated for 2x2 block groups.
  • 901 denotes a search range of a reference block of the reference frame
  • 902 denotes a reference block of the reference frame
  • 903 denotes a current block of the current frame.
  • the first error matching unit 320 may measure the degree of distortion between the reference block 902 and the current block 903 using an error function given by equation 1.
  • Er(l,k) indicates the degree of distortion between a reference block and a current block at a current position (l,k)
  • RB indicates the reference block
  • CB indicates the current block
  • (i j) indicates a pixel position
  • BSy indicates a block size in the y- direction
  • BSx indicates a block size in the x-direction.
  • the error function measures the degree of distortion using SADs between two blocks from a center, i.e., the current position (l,k).
  • the first error matching unit 320 obtains an SAD corresponding to each of the search points that are allocated as in FIGS. 5 through 8 and determines the position (l,k) having the minimum SAD to be an initial motion vector of a block.
  • the second error matching unit 332 re-attempts motion estimation for the current block by applying initial motion vectors determined by the first error matching unit 320 to the current block.
  • initial motion vectors determined by the first error matching unit 320
  • blocks since blocks have initial motion vectors determined using different search points, they have different initial motion vectors.
  • an appropriate motion vector for the current block can be estimated by applying the initial motion vectors of adjacent blocks to the current block.
  • a current block (i,j) has the motion vector MV4.
  • Blocks (i,j-l), (i-lj-1), and (i-1 j) adjacent to the current block (ij) have the motion vectors MVl, MV2, and MV3, respectively.
  • an error function between the reference block and the current block is performed by applying the motion vectors MVl, MV2, and MV3 of the adjacent blocks and the motion vector MV4 of the current block to the current block.
  • the second error matching unit 332 generates four SADs; SADl, SAD2, SAD3, and S AD4, for the current block using the error function.
  • the weight multiplying unit 334 applies weights Wl, W2, W3, and W4 to the four
  • the weight multiplying unit 334 may applies different weights to SADs according to various motion information such as the amount of motion or the spatial position of a block referred to by the current block.
  • the minimum value selecting unit 336 selects the motion vector having the minimum SAD from among the four SADs to which the weights are applied by the weight multiplying unit 334 as a final motion vector.
  • FlG. 11 is a flowchart illustrating a method of block-based motion estimation according to an embodiment of the present invention.
  • operation 1110 two video frames that are temporally adjacent to each other, i.e., occur sequentially in time, are input.
  • the two video frames include a current frame and a reference frame that is temporally adjacent to the current frame.
  • operation 1120 the reference frame is divided into a plurality of block groups and different search points for searching for motions of different sizes are allocated for blocks in each block group.
  • the degree of block distortion between the current frame and the reference frame is measured in the allocated search point for each block.
  • a candidate motion vector of each block is estimated using the degree of block distortion measured in operation 1130.
  • the degree of block distortion is measured using an SAD.
  • motion estimation is re-attempted by applying candidate motion vectors of adjacent blocks to a current block. For example, the degree of distortion is measured by applying four candidate motion vectors to the current block, thereby obtaining four
  • the different weights are applied to the obtained SADs according to motion directions.
  • the candidate motion vector having the minimum SAD is determined to be a final motion vector of the current block.
  • the present invention can also be embodied as a computer-readable code on a computer-readable recording medium.
  • the computer-readable recording medium is any data storage device that can store data which can be thereafter read by a computer system. Examples of computer-readable recording media include read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and carrier waves.
  • ROM read-only memory
  • RAM random-access memory
  • CD-ROMs compact discs, digital versatile discs, digital versatile discs, and Blu-rays, and Blu-rays, and Blu-rays, etc.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

L'invention concerne un procédé et un appareil d'estimation de mouvement à base de bloc, dans lequel un vecteur de mouvement est estimé par affectation de points de recherche différents à des blocs de trame comprenant plusieurs groupes de blocs. Un procédé d'estimation de mouvement vidéo consiste: à affecter des points de recherche différents à des blocs dans chaque groupe de blocs d'une trame vidéo d'entrée; à estimer des vecteurs de mouvement candidats pour les blocs par mesure du degré de distorsion de bloc entre des trames au niveau de chacun des points de recherche attribué; et à mesurer le degré de distorsion de bloc auquel chacun des vecteurs de mouvement candidat estimé est appliqué par application des vecteurs de mouvement candidats estimés à un bloc courant, et par détermination du vecteur de mouvement candidat présentant le degré de distorsion de bloc minimum comme étant un vecteur de mouvement final du bloc courant.
PCT/KR2006/004689 2006-02-02 2006-11-10 Procédé et appareil d'estimation de mouvement à base de bloc WO2007089068A1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP06812523A EP1980113A4 (fr) 2006-02-02 2006-11-10 Procédé et appareil d'estimation de mouvement à base de bloc
JP2008553143A JP5089610B2 (ja) 2006-02-02 2006-11-10 ブロック基盤の動き推定方法及び装置
CN2006800296659A CN101243691B (zh) 2006-02-02 2006-11-10 用于基于块的运动估计的方法和设备

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020060010053A KR101217627B1 (ko) 2006-02-02 2006-02-02 블록 기반의 움직임 추정 방법 및 장치
KR10-2006-0010053 2006-02-02

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WO2007089068A1 true WO2007089068A1 (fr) 2007-08-09

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EP (1) EP1980113A4 (fr)
JP (1) JP5089610B2 (fr)
KR (1) KR101217627B1 (fr)
CN (1) CN101243691B (fr)
WO (1) WO2007089068A1 (fr)

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US20120307905A1 (en) * 2009-11-18 2012-12-06 Sk Telecom Co., Ltd. Method and apparatus for encoding/decoding a motion vector by selecting a set of predicted candidate motion vectors, and method and apparatus for image encoding/decoding using the same
CN104469380A (zh) * 2014-12-25 2015-03-25 中国电子科技集团公司第四十一研究所 基于h.264/avc标准的视频图像预测搜索方法

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KR101036552B1 (ko) * 2009-11-02 2011-05-24 중앙대학교 산학협력단 적응적 탐색 영역 및 부분 정합 오차 기반의 고속 움직임 추정 장치 및 방법
KR101678654B1 (ko) * 2010-06-11 2016-11-22 에스케이 텔레콤주식회사 효율적인 움직임 벡터 부호화/복호화를 위한 적응적 경쟁기반 움직임 후보 벡터 산출 기법 및 이를 이용한 움직임 벡터 부/복호화 장치
KR101280298B1 (ko) * 2011-07-07 2013-07-01 에스케이하이닉스 주식회사 블록 기반의 움직임 추정 방법
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CN104469380B (zh) * 2014-12-25 2019-05-03 中国电子科技集团公司第四十一研究所 基于h.264/avc标准的视频图像预测搜索方法

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JP2009525663A (ja) 2009-07-09
KR101217627B1 (ko) 2013-01-02
CN101243691A (zh) 2008-08-13
KR20070079411A (ko) 2007-08-07
EP1980113A4 (fr) 2009-04-29
EP1980113A1 (fr) 2008-10-15
JP5089610B2 (ja) 2012-12-05
CN101243691B (zh) 2011-04-13

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