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WO2006110007A1 - Methode pour effectuer un codage dans un systeme de codage/decodage video multivision - Google Patents

Methode pour effectuer un codage dans un systeme de codage/decodage video multivision Download PDF

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Publication number
WO2006110007A1
WO2006110007A1 PCT/KR2006/001376 KR2006001376W WO2006110007A1 WO 2006110007 A1 WO2006110007 A1 WO 2006110007A1 KR 2006001376 W KR2006001376 W KR 2006001376W WO 2006110007 A1 WO2006110007 A1 WO 2006110007A1
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Prior art keywords
coding
gop
gomv
base
images
Prior art date
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PCT/KR2006/001376
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English (en)
Inventor
Kwang-Hoon Sohn
Yong-Tae Kim
Jung-Dong Seo
Chang-Seob Park
Jun-Yong Lee
Hyung-Gap Seo
Jae-Ho Lee
Seung-Jin Nam
Shin-Il Chung
Original Assignee
Industry-Academic Cooperation Foundation, Yonsei University
Korean Broadcasting System
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Publication date
Priority claimed from KR1020050030724A external-priority patent/KR100738867B1/ko
Priority claimed from KR1020060003289A external-priority patent/KR100811649B1/ko
Application filed by Industry-Academic Cooperation Foundation, Yonsei University, Korean Broadcasting System filed Critical Industry-Academic Cooperation Foundation, Yonsei University
Publication of WO2006110007A1 publication Critical patent/WO2006110007A1/fr

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    • 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
    • H04N19/189—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding
    • H04N19/196—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters
    • H04N19/198—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters including smoothing of a sequence of encoding parameters, e.g. by averaging, by choice of the maximum, minimum or median value
    • 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
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/103—Selection of coding mode or of prediction mode
    • H04N19/114—Adapting the group of pictures [GOP] structure, e.g. number of B-frames between two anchor frames
    • 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
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/124—Quantisation
    • H04N19/126—Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/146—Data rate or code amount at the encoder output
    • H04N19/149—Data rate or code amount at the encoder output by estimating the code amount by means of a model, e.g. mathematical model or statistical model
    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/146—Data rate or code amount at the encoder output
    • H04N19/152—Data rate or code amount at the encoder output by measuring the fullness of the transmission buffer
    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/157—Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
    • H04N19/159—Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
    • 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
    • H04N19/177—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 a group of pictures [GOP]
    • 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
    • H04N19/189—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding
    • H04N19/196—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters
    • 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
    • H04N19/597—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
    • 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
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/61—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding

Definitions

  • the present invention relates to a method for coding in a multiview video
  • HDTV High Definition Television
  • H.261, H.263, and H.264, etc. may be applied.
  • the fundamental basis in stereo image coding is disparity estimation, which is to
  • multiview images are required in which images are obtained from multiple positions.
  • the images are made different according to the
  • disparity estimation may be used to efficiently perform compression.
  • Fig. 1 is a structural diagram of a coding/decoding system for a multiview profile
  • time scalability is the technology of
  • encoders are for time scalability, and are interlayer encoders which create images
  • coding and decoding the left-side images separately may provide a regular video image, while coding and decoding the left-side and right-side images
  • Fig. 2 is a structural diagram of a stereo video coding/decoding system using an
  • base layers are coded using motion compensation
  • DCT discrete cosine transform
  • temporal auxiliary view encoder performs the function of temporal interlayer encoder
  • the temporal auxiliary view encoder includes a disparity and motion
  • the disparity compensation coding process requires a
  • the coding process includes DCT, quantization of DCT
  • the decoding process includes variable length decoding, reverse quantization, and reverse DCT processes, etc.
  • Fig. 3 is a schematic diagram illustrating prediction coding considering time
  • the left-side images are coded using the non-scalable
  • MPEG-2 encoder and the right-side images are coded using the MPEG-2 temporal
  • auxiliary view encoder based on the decoded left-side images. That is, they are coded
  • the forward mode prediction modes of forward, backward, and interpolated.
  • the forward mode prediction modes of forward, backward, and interpolated.
  • backward mode represents the disparity predicted from the left-side image immediately
  • prediction coding considering disparity only, and basically, the encoder estimates two disparity vectors for each frame of the right-side images, while
  • the decoder uses the two disparity vectors to decode the right-side images from the left ⁇
  • Fig. 4 is a schematic diagram illustrating prediction coding using disparity vectors
  • bidirectional prediction as in Fig. 3 uses one disparity estimation and one motion
  • prediction provides three prediction modes of forward, backward, and interpolated.
  • the forward mode represents motion prediction from decoded right-side images
  • the backward mode represents disparity prediction from decoded left-side images.
  • MPEG-2 provides a standard for the coding and decoding of video
  • Fig. 5 is a schematic diagram illustrating a picture form specified by MPEG-2.
  • MPEG-2 specifies three kinds of pictures, the I-picture, the I-picture, and
  • the P- (predictive coded) picture performs coding via motion estimation/compensation
  • MPEG-2 pictures are structured such as B, B, T, B, B, P, ..., where the pictures from
  • GOP group of pictures
  • N the number of pictures in a GOP is N, and the number of pictures between an I-picture and
  • a P-picturc or between a P-picture and a P-picture is defined as M.
  • the quality of disparity estimation may be
  • the present invention aims to solve the aforementioned problems.
  • video images in a simpler and more efficient manner and may restore images from a variety of viewpoints according to the status of the decoder.
  • Another object of the present invention is to provide an inter-view balanced
  • Another object of the present invention is to provide a method of
  • Another object of the present invention is to provide a bit rate control
  • an aspect of the present invention provides a
  • group of multiviews which is a set of a number of multiview images of the
  • Another aspect of the present invention provides a coding method of a
  • multiview video coding/decoding system for performing coding for a group of
  • GOMV multiviews
  • GOP 's along a viewpoint axis performing coding for a frame of at least one or more
  • GOPB 's which are GOP's including at least one or more P-pictures- using the base
  • a further aspect of the present invention provides an inter-view balanced
  • Yet another aspect of the present invention provides a coding method for coding a
  • operation (b) may perform coding by a disparity estimation technique for a
  • operation (b) may perform coding by a disparity estimation technique for
  • Still another aspect of the present invention provides a coding method for
  • Another aspect of the present invention provides a bit rate control
  • method comprising (a) determining bit rate in units of GGOP, and (b) determining bit rate in units of GOMV.
  • operation (a) may comprise (c) renewing residual bit amount; (d) renewing
  • Operation (b) may comprise (f) determining quantization parameters for a GOMV
  • operation (f) may comprise (h) determining a target bit for a P GOMV by determining a
  • P GOMV GOMV
  • the target bit of the operation (h) may preferably be determined by a
  • Fig. 1 is a structural diagram of a coding/decoding system for a multiview profile
  • Fig. 2 is a structural diagram of a stereo video coding/decoding system using an
  • Fig. 3 is a schematic diagram illustrating prediction coding considering time
  • FIG. 4 is a schematic diagram illustrating prediction coding using disparity vectors
  • Fig. 5 is a schematic diagram illustrating a picture form specified by MPEG-2
  • Fig. 6 is a structural diagram of an embodiment of a GOMV defined according to
  • Embodiment 1 of the present invention is a diagrammatic representation of Embodiment 1 of the present invention.
  • Fig. 7 is a structural diagram of an embodiment of a GGOP defined according to
  • Embodiment 1 of the present invention is a diagrammatic representation of Embodiment 1 of the present invention.
  • Fig. 8 is a structural diagram of an embodiment for illustrating GOP B 'S in Fig. 7;
  • Fig. 9 is a structural diagram of an embodiment for illustrating GOPc's in Fig. 7;
  • Fig. 10 is a structural diagram of an embodiment for illustrating the bit stream
  • Embodiment 1 of the present invention is a diagrammatic representation of Embodiment 1 of the present invention.
  • Fig. 11 is a flowchart of an embodiment for illustrating an inter- view balanced
  • Embodiment 1 of the present invention is a diagrammatic representation of Embodiment 1 of the present invention.
  • Fig. 12 is a structural diagram of a stereo video coding/decoding system using a
  • Fig. 13 is an exemplary diagram illustrating classes of multiview image coding to
  • Fig. 14 is an exemplary diagram illustrating the compression of a GOMV along the time axis according to a conventional coding method
  • Figs. 15 to 17 are exemplary diagrams illustrating GOMVs in a 1 -dimensional
  • Figs. 18 to 20 are exemplary diagrams illustrating GOMVs in a 3x5 array
  • Fig. 21 is another exemplary diagram illustrating a GOMV in a 3x5 array
  • Fig. 22 is another exemplary diagram illustrating a GOMV in a 3x5 array
  • Figs. 23 and 24 are exemplary diagrams illustrating GOMVs in an NxM array
  • Fig. 25 is an exemplary diagram illustrating a GOMV in a cross-shape multiview
  • Fig. 26 is an exemplary diagram illustrating quantization parameters of the I- and
  • Embodiment 1 bit rate control during
  • Embodiment 2 multiview video coding will be described as Embodiment 2.
  • GOMV group of multiviews
  • the present invention proposes
  • a GOMV structure for simplifying the structure of the encoder while maximizing
  • Fig. 6 is a structural diagram of an embodiment of a GOMV defined for inter- view
  • GOP a structure extending GOP's along a viewpoint axis
  • GGOP GGOP
  • Fig. 7 is a structural diagram of an embodiment of a GGOP defined according to
  • Embodiment 1 of the present invention is a diagrammatic representation of Embodiment 1 of the present invention.
  • the coding method along the time axis is identical to a
  • FIGs. 8 and 9 are structural diagrams of embodiments for illustrating GOP B 'S and
  • the frame of a base GOP is coded as in
  • GOP's including at least one or more P-pictures.
  • GOPs which are GOP's composed only of B-picturcs. Disparity estimation is
  • bidirectional disparity estimation may be
  • the disparity estimation also had to select only one direction, but as
  • Fig. 10 is a structural diagram of an embodiment for illustrating the bit stream
  • Embodiment 1 of the present invention where in this case, N equals 8.
  • the base GOP in the GGOP structure of Fig. 7 becomes a reference image for
  • the decoder can
  • the base GOP is transmitted through a base layer.
  • the decoder is thus able to restore
  • the decoder after receiving transmission from the base layer and enhancement layers #1 and #2, can restore an N/2 number of viewpoints. Frames
  • a set of coordinates in a 3 -dimensional space is
  • the luminance and chrominance values must be equal at these mapped points.
  • a greater part of multiview video encoder performance is based on the removal of
  • Fig. 11 is a flowchart of an embodiment for illustrating an inter- view balanced
  • IBDE disparity estimation
  • a balanced disparity estimation method based on the a b present invention obtains the values of overall balance parameters s and s .
  • the initial balance parameters * and * are positioned in particular intervals with respect to the overall balance parameters and considering image
  • compression stage separately.
  • present invention basically uses this theory in the calculation of overall balance
  • a reference viewpoint converted by pre-processing procedures is generated, by
  • m ⁇ and re ⁇ represent the luminance component value of the original reference image and the luminance component of the balanced reference image, respectively, and a and b are balance parameters.
  • This technique is identically applied to the chrominance component. However, this technique is used only for the overall balance parameters of the luminance components
  • Equation 7 Equation 7
  • ⁇ 7 represents luminance components from 0 to 255. For all luminance
  • Equation 9 reduces the amount of calculation while providing the same performance as with Equation 8.
  • disparity vector information was
  • Equation 4 is applied in the same manner as for the luminance component so
  • the method is used of inferring using the luminance
  • Fig. 12 is a structural diagram of a stereo video coding/decoding system using a
  • the base layers are coded using discrete cosine
  • DCT transforms
  • compensation prediction may be used here, and just as with the encoder and decoder of
  • the encoding of the enhancement layers includes a disparity and motion
  • the disparity compensation coding process requires a
  • the coding process includes DCT, quantization of DCT coefficients, and variable length coding, etc. of the predicted images, original images,
  • the GGOP which is the unit by which coding is
  • GOMV group of multiviews
  • Fig. 13 is an exemplary diagram illustrating classes of multiview image coding to
  • Embodiment 2 of the present invention is applied. As depicted in the figure, a
  • multiview image coding method based on the present invention has a structure in which
  • a GOMV is a set of multivicw images for a viewpoint, and for a simple illustration
  • the multiview image coding method based on the present invention includes
  • a GOMV class may be modified, and the modified
  • structure may be supported even if the structure of the multiview image is changed.
  • the present invention proposes a coding method for a typical multiview
  • camera structures include a 1 -dimensional structure arranged horizontally or vertically,
  • Fig. 14 is an exemplary diagram illustrating the compression of a GOMV along the
  • GOMV is basically a set of multivicw images on the same time axis, all of the frames in
  • a GOMV at one time are coded, and then the next GOMV is coded.
  • a GOMV at one time are coded, and then the next GOMV is coded.
  • Figs. 15 to 17 arc exemplary diagrams illustrating GOMVs in a I -dimensional
  • Fig. 15 is an example of a GOMV structure for 8 viewpoints
  • Fig. 16 is
  • Fig. 17 is an example of a
  • the frame that is first compressed without a reference frame is defined
  • this I-frame is defined as the P-frame, and a frame for which bidirectional estimation is
  • the GOP of the 4th viewpoint is configured to be the base viewpoint
  • the 1st, 6th, and 8th viewpoints are configured to be GOPB 's predicted from the base viewpoint (i.e. the final frame in a square region divided into predetermined
  • the remaining viewpoints are configured to be GOPCs coded by performing
  • the order of coding is to first code the base viewpoint and then code a
  • GOPB The order of coding GOPB 's is such that proceeds in a direction away
  • Coding is performed for the GOPCs after the corresponding
  • GOPB is coded.
  • Fig. 16 is an example of a GOMV possible for 16 viewpoints, the procedures for
  • Fig. 17 is an example of a typical GOMV structure of a 1 -dimensional N viewpoint
  • GOPB is set to M. As has already been explained, the position of the base viewpoint
  • the base viewpoint does not necessarily have to be the middle viewpoint, and the base viewpoint may be the base viewpoint.
  • GOPB 's are allotted to have intervals of M, where the minimum value of M is 1 and the
  • N maximum value is N.
  • M 1
  • coding is performed with all of the viewpoints besides the base viewpoint allotted as GOPB 's.
  • viewpoints in-between are made to be GOPCs, to perform coding with respect to two
  • Figs. 18 to 20 arc exemplary diagrams illustrating GOMVs in a 3x5 array
  • a coding method based on the present invention performs
  • each of the frames is coded by the disparity estimation
  • the GOPC between the GOPB and the base viewpoints are coded.
  • Fig. 21 may be configured according to the number and position of the base viewpoints. Fig. 21
  • FIG. 1 is another exemplary diagram illustrating a GOMV in a 3x5 array multiview camera
  • Fig. 22 is another
  • a coding method based on the present invention codes
  • intra frame coding is performed for the base viewpoints, and as the
  • GOPCs and GOPB's the GOP's in-between base viewpoints are
  • coding is performed using bidirectional disparity estimation using
  • Figs. 23 and 24 are exemplary diagrams illustrating GOMVs in an NxM array multiview camera structure composed according to Embodiment 2 of the present
  • FIG. 23 illustrates the case where two base viewpoints are positioned
  • Fig. 24 illustrates the case where two base viewpoints are positioned
  • intra frame coding is performed for the base viewpoints
  • Fig. 25 is an exemplary diagram illustrating a GOMV in a cross-shape multiview
  • the base viewpoint is set to be the GOMV positioned in
  • the user may set which of the four directions
  • intra frame coding is performed for the GOMV of the base
  • bit rate control is performed in units of GOMVs.
  • bit rate control is performed
  • bit rate control is performed in units of GOMVs.
  • bit rate control in units of GOMVs is described.
  • GGOP's are used which are groups of GOP's, and this GGOP is the greatest
  • bit rate control is performed assuming a GOMV as
  • a GGOP may be assumed as a GOP of a 2-dimensional image encoder.
  • Equation 10 initialization of the residual bit amount jV / may be performed by Equation 10.
  • i and j represent the i-th GGOP of the j-th GOMV
  • bit rate represents the actual bit rate generated in the j-th GOMV.
  • bit rate represents the bit rate generated in the j-th GOMV.
  • bit rate according to the present invention refers to the bit rate of the overall
  • bit usage rate represents the entire amount of bits generated in
  • bit rate control is performed assuming one GOMV as one picture.
  • Fig. 26 is an exemplary diagram illustrating quantization parameters of the
  • GOMV is composed of one I-picture and seven P-pictures when an 8 viewpoint image
  • I GOMV is defined as follows.
  • QP 1 (1 ) max ⁇ QP ⁇ 1 (I ) - 3. mm ⁇ QP ⁇ 1 (I ) + ⁇ , N ( ⁇ _ ⁇ ) 1 ⁇ ⁇
  • Sd K J represents the quantization parameters of an I GOMV of the i-th GGOP
  • Z_ j v P ⁇ * represents the sum of quantization parameters of a P GOMV in the
  • r is a variable value and varies according to image characteristics, which may be obtained by the following equation.
  • a MAD value of r that is far from the average MAD value represents high complexity of the image.
  • bit rate control at the level of GOMV units will be described below.
  • the pre-coding operation is to calculate the quantization parameters for the GOMV
  • the quantization parameters arc configured in the above bit rate control at the
  • multiview image encoder is identical to the conventional process of calculating
  • P GOMVs parameters of P GOMVs are divided into setting the target bits for the P GOMVs
  • the bit rate control method based on the
  • present invention determines the target buffer levels for the P GOMVs.
  • the target buffer levels for the P GOMVs are calculated using the bit amount of previously coded images and the complexity of the GOMV to be coded. The detailed
  • Equation 14 the values for the remaining P GOMV's
  • Equation 1 o f Equation 15 represents the mean
  • the target bits for the P GOMV's are calculated, where the calculation
  • target bit amounts obtained by Equation 17 are values calculated taking
  • the current buffer status and residual bit amount are
  • Equation 19 Equation 19
  • T 1 O) pxtjj) + ⁇ i- ⁇ y- ⁇ ij)
  • lV/ and w iV/ represent the lower limit value and the upper limit value, which may be obtained by the following Equations 21 and 22.
  • bit rate-distortion optimization are performed, where the quantization parameters
  • ⁇ i (j) a ⁇ > ( ⁇ i (j ⁇ l-L) + a 2
  • 1 and ⁇ 2 are coefficients renewed by the linear regression method after a
  • QP 1 (J) VUn(QP 1 (J-L-I) + S, max®P t (j-L-l) - S, QP&)))
  • multiview video coding may be used.
  • the present invention may effectively remove correlation between multiview
  • coding may be performed with no differences in picture quality between
  • the present invention makes it possible to obtain results that precisely
  • the present invention allows a more general and efficient compression for

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Abstract

L'invention concerne une méthode d'estimation de disparités équilibrée intervision et une méthode de commande de débit binaire. La méthode d'estimation de disparités considère un manque d'homogénéité intervision et consiste à effectuer un codage pour la trame d'un groupe d'images (GOP) de base (qui est un GOP comprenant des images I) au niveau d'un groupe de GOP (GGOP) étendant un GOP à partir d'un axe de point de vue; à effectuer un codage pour une trame d'au moins un GOPB (qui est un GOP comprenant au moins une image P) à l'aide du GOP de base; et à effectuer un codage en effectuant une estimation de disparités bidirectionnelle pour une trame de GOPC (qui est un GOP comprenant des images B uniquement) existant entre le GOP de base et le GOPB, à l'aide du GOP de base et du GOPB. Simultanément, des opérations de détermination du débit binaire sont effectuées dans des unités de GGOP et dans des unités de groupes multivision GOMV.
PCT/KR2006/001376 2005-04-13 2006-04-13 Methode pour effectuer un codage dans un systeme de codage/decodage video multivision WO2006110007A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR10-2005-0030724 2005-04-13
KR1020050030724A KR100738867B1 (ko) 2005-04-13 2005-04-13 다시점 동영상 부호화/복호화 시스템의 부호화 방법 및시점간 보정 변이 추정 방법
KR10-2006-0003289 2006-01-11
KR1020060003289A KR100811649B1 (ko) 2006-01-11 2006-01-11 다시점 부호화 방법과 그에 사용되는 비트율 제어 방법

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WO2007081117A1 (fr) * 2006-01-07 2007-07-19 Electronics And Telecommunications Research Institute Procédé et appareil pour référence d'entre-vues dans un codage vidéo à multiples points de vue
WO2008088497A3 (fr) * 2006-12-21 2008-10-30 Thomson Licensing Procédés et appareil permettant d'améliorer la signalisation à l'aide d'une syntaxe de haut niveau pour le codage et décodage vidéo multivue
WO2009127164A1 (fr) * 2008-04-18 2009-10-22 华为技术有限公司 Procédé et dispositif de codage et de décodage d'image vidéo à points de vue multiples
CN102006469A (zh) * 2010-08-24 2011-04-06 吉林大学 基于立体元图像多等级混合预测编码结构的并行实现方法
EP2589926A1 (fr) 2011-11-04 2013-05-08 OBE Ohnmacht & Baumgärtner GmbH & Co. KG Dispositif et procédé de mesure optique de la forme d'un objet mobile
US8798356B2 (en) 2009-02-04 2014-08-05 Samsung Electronics Co., Ltd. Apparatus and method for encoding and decoding multi-view image

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007081117A1 (fr) * 2006-01-07 2007-07-19 Electronics And Telecommunications Research Institute Procédé et appareil pour référence d'entre-vues dans un codage vidéo à multiples points de vue
WO2008088497A3 (fr) * 2006-12-21 2008-10-30 Thomson Licensing Procédés et appareil permettant d'améliorer la signalisation à l'aide d'une syntaxe de haut niveau pour le codage et décodage vidéo multivue
TWI455596B (zh) * 2006-12-21 2014-10-01 Thomson Licensing 使用多視界視頻編碼及解碼之高階語法之改良式發信的方法與裝置
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WO2009127164A1 (fr) * 2008-04-18 2009-10-22 华为技术有限公司 Procédé et dispositif de codage et de décodage d'image vidéo à points de vue multiples
US8798356B2 (en) 2009-02-04 2014-08-05 Samsung Electronics Co., Ltd. Apparatus and method for encoding and decoding multi-view image
CN102006469A (zh) * 2010-08-24 2011-04-06 吉林大学 基于立体元图像多等级混合预测编码结构的并行实现方法
EP2589926A1 (fr) 2011-11-04 2013-05-08 OBE Ohnmacht & Baumgärtner GmbH & Co. KG Dispositif et procédé de mesure optique de la forme d'un objet mobile

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