EP2617197A1 - Procédé et dispositif d'établissement d'une valeur de prédiction - Google Patents

Procédé et dispositif d'établissement d'une valeur de prédiction

Info

Publication number
EP2617197A1
EP2617197A1 EP12700628.6A EP12700628A EP2617197A1 EP 2617197 A1 EP2617197 A1 EP 2617197A1 EP 12700628 A EP12700628 A EP 12700628A EP 2617197 A1 EP2617197 A1 EP 2617197A1
Authority
EP
European Patent Office
Prior art keywords
value
image
image value
trajectory
prediction
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP12700628.6A
Other languages
German (de)
English (en)
Inventor
Peter Amon
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Original Assignee
Siemens AG
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 Siemens AG filed Critical Siemens AG
Publication of EP2617197A1 publication Critical patent/EP2617197A1/fr
Withdrawn legal-status Critical Current

Links

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
    • 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
    • H04N19/11—Selection of coding mode or of prediction mode among a plurality of spatial predictive coding modes
    • 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
    • H04N19/136—Incoming video signal characteristics or properties
    • H04N19/14—Coding unit complexity, e.g. amount of activity or edge presence estimation
    • 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
    • H04N19/10—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
    • H04N19/182—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 pixel
    • 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
    • H04N19/593—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
    • 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 invention relates to methods and apparatus for forming a prediction value.
  • image and video coding for example when compressing images of a video, some images of the image sequence are coded without reference to at least image parts of other images. This is necessary, for example, at the beginning of a picture sequence since there is no previously coded picture content. Furthermore, this is necessary for groups of pictures GOPs (GOP - Group Of Pictures) which are to be independently decodable.
  • GOPs GOPs
  • An image or video encoding that does not access the image content ei ⁇ nes already encoded in the past image back is referred to as INTRA coding.
  • INTRA coding Even with Bil ⁇ countries that could access for on such image content, it can make an INTRA coding be advantageous, if not a good predictor of time can be found in one of a previously encoded image reference image. This occurs, for example, during scene change or exposure of new image content in the image.
  • FIG. 2 shows an image region with 5x5 pixels.
  • a coordinate system has been introduced in FIG. 2, horizontally with the values 0, 1, 2, 3, 4 and vertically with the values a, b, c, d, e.
  • FIG. 2 shows a hatched image area and a non-hatched image area.
  • the hatched image area comprises only reconstructed pixels, ie pixels which have already been coded and decoded and are thus available in a reconstructed form for the INTRA coding, such as the pixels aO to a4, b0, c0, d0 and e0.
  • the unshaded area embodied here as a 4x4 block, describes a prediction picture area to which, for example, the intra-prediction mode 4, ie a diagonal prediction direction, see FIG. 1, is to be applied.
  • the prediction is versinnsent ⁇ light in Figure 2 by small arrows.
  • the image value W of a pixel describes, as well as the prediction value, an amp ⁇ litudenwert for a brightness and / or color value of the jewei ⁇ time pixel.
  • the prediction value is, for example, based on a subtraction for determining a difference value RES (.)
  • a respective prediction is determined ⁇ for all the image values within the pronounceschraffier- th area.
  • the respective difference picture value is quantized and coded.
  • the coded image values yield a coded image data stream. After decoding, inverse quantization of the coded image values and addition with the prediction value, the reconstructed image values result.
  • the invention relates to a method for forming a prediction value for a first image value of a first image ⁇ point of an image based on a second image value/2017in- least one reconstructed pixel of the image with ⁇ follow the steps of: Forming at least one trajectory having a third image value, wherein along the respective trajectory an image value corresponds to the respective third image value and the respective trajectory has a shape which is not a straight line;
  • Assigning the second image value to the respective third image value Determining at least one of the trajectories as an auxiliary trajectory having a distance to a position of the first image value, the distance having a shortest distance to the position; Ektorie generating the prediction value on the basis of the third Schmwer ⁇ tes the Hilfstraj.
  • the present method has the advantage that a more accurate recuperative ⁇ on is carried out in a ⁇ due to the non-straight prediction directions, which is operated by the respective trajectory. This results in improved image quality for the same bit rate of a coded Since ⁇ tenstroms or at constant image quality deortzstromes a reductive ⁇ tion of the bit rate or the memory space of the encoded Vi-.
  • the reason for this improvement is the fact that a more accurate estimate of the predictive value to be encoded first image value is made possible by the more accurate prediction and thus created for a Differenzcodie ⁇ tion a smaller to be compressed difference value.
  • a local position of the trajectories can either be fixed, for example by a selection of possible trajectory positions or forms, or can result from already encoded and reconstructed image values or pixels.
  • an environment of the first image value to be coded can be analyzed and from this a calculation rule for a position or form of the trajectories to be formed can be determined.
  • that second image value which minimizes a distance between the second image value and the trajectory associated with the third image value can be selected.
  • the drit ⁇ th image value can be a reconstructed image value is obtained by encoding and decoding of the first image value, are generated.
  • a modification of the third pixel may be carried out after carrying out the formation of the prediction value, wherein for the formation of the prediction value for ei ⁇ NEN further first image value then the second image value, genes ⁇ riert is used by a reconstruction of the first image value after encoding and decoding. That a second image value of a reconstructed image point is used as the third image value of the respective trajectory through these Extension C ⁇ conclusions of the process is achieved, is the good Aussich ⁇ th for a good determination of the prediction value. Thus, for example, it is achieved by the minimization that the second image value is assigned to the third image value which, due to its local position, is most similar to the third image value.
  • known or standardized image or video compression methods can be used, such as, for example, ITU H.263, H.264 or MPEG2 (ITU - International Telecommunications Union, MPEG - Motion Picture Expert Group).
  • At least two auxiliary paths are determined in such a way that the distance between the respective Hilfstra ektorie and the position of the first image value comprises a shortest distance on ⁇ .
  • the prediction value in this case is formed by the third image values of the at least two auxiliary vectors.
  • the prediction value is formed by the third image values of the at least two auxiliary vectors so as to take into account those auxiliary vectors which are selected from the set of all available
  • the prediction value is represented by a weighted averaging of the third image values of the at least two Hilfstraj ektorien gebil ⁇ det. This ensures that the prediction value of the first image value can be estimated mög ⁇ lichst accurately with respect.
  • the weighted averaging can take into account the distances as reciprocal values. This is advantageous ⁇ way, since the third value of the Hilfstraj ektorie, which is closer to the first image value is greater consideration than that ektorie third value of a further Hilfstraj which lies further away. In general, more than two
  • Hilfstraj ectorien be used. This is a weighted averaging that is more than two selected
  • Hilfstraj ektorien for example, according to their distances or the reciprocal of their distances taken into account.
  • a new trajectory formed such ⁇ that the new trajectory is positioned by the position of the first image value is assigned to a third value of the new Tra ⁇ jektorie the prediction or the first image value or a reconstructed image value of the first image value.
  • a more accurate estimate of the respective first image value is made possible in the formation of a prediction value for white ⁇ tere pixels within the image is achieved.
  • the third image value of the new trajectory can be formed either by the prediction value itself, the first image value or a reconstructed image value of the first image value.
  • This extension can be added that the new trajectory is arranged such ektorien between two Hilfstraj that in any point on the new trajectory, a ratio of the shortest distances between the belie ⁇ -lived point and the two Hilfstraj ektorien to a ratio of the distances of is identical to both auxiliary fields of the first image value.
  • This extension describes a possible position and thus a possible form of the new trajec ⁇ torie. It is advantageous that the new situation of the new Hilfstraj ektorie can be determined in a simple manner.
  • the invention also relates to an apparatus for forming a prediction value for a first image value of a ers ⁇ th image point of an image based on a second image value of at least one reconstructed pixel of the image with the following units: first unit for forming at least a trajectory, each having a third Having image value, wherein along the respective trajectory an image value corresponds to the respective third image value and the respective trajectory has a shape which is not a straight line;
  • Second unit for assigning the second image value to said each ⁇ bib third image value;
  • Third unit for determining at least one of the trajectories as Hilfstra ektorie having a distance to a position of the first image value, wherein the distance has a shortest distance to the position;
  • Fourth unit for generating the prediction value on the basis of the third image value of the auxiliary vector.
  • the method can be realized and executed.
  • the advantages are analogous to the corresponding method.
  • the device may comprise at least one further unit, wherein with the further unit individual process steps of the previous developments or alternative imple mentation forms are executable.
  • the advantages are analogous to the description of the illustrated embodiments.
  • Figure 4 embodiment for forming a new Traj ektorie based on two existing trajectories
  • FIG. 7 Device for determining a prediction value.
  • Figures 1 and 2 have been explained in detail in the introduction, so that is dispensed with a more detailed description of the ⁇ ser point.
  • Figure 3 shows a picture B with 352x288 pixels. Pixels are organized into image blocks BB, for example in a size 4x4 pixels. The pixels each have an image value, each representing a color value and / or a brightness value, for example in the form of an 8-bit resolution.
  • Each square within the image block BB represents a pixel, such as a first pixel, BP1 and a corresponding first image value Wl.
  • FIG. 3 shows a hatched region with reconstructed pixels BR1, BR2 and the associated second pixel values W21, W22.
  • the reconstructed pixels were encoded at an early stage and are in their decoded, i. reconstructed form, to form the prediction value available.
  • a first step at least two trajectories TO, Tl, T2, T3, T4 are formed. These trajectories are drawn in the first embodiment as quarter circles and thus do not represent a straight line.
  • an image value corresponds to a respective third image value W31, W32.
  • the respective rigid tet trajectory in the second image value corresponding to exactly the third image value of the respective trajectory ⁇ ent.
  • two auxiliary trajectories HT1, HT2 are determined from the set of available trajectories TO, T1, T2, T3, T4 such that a respective distance A1, A2 between the auxiliary trajectories HT1, HT2 to be determined and the position PI of the first image value Wl is minimal, ie in each case has a shortest distance.
  • FIG. 3 shows the respective distance A2 of the trajectory T2 from the position T1 and AI of the trajectory T1 between trajectory T1 and position PI. Since it is the shortest distance, the distance of the respective trajectory forms a 90 ° angle to the position PI.
  • FIG. 4 shows a detail of FIG. 3 with the auxiliary fields eH1 and HT2, as well as the first image value W1 and the position PI.
  • the prediction PRW ent ⁇ speaks a weighted averaging of the third image values W31, W32 of the trajectories Tl, T2.
  • a new trajectory T5 between the existing ones will be added Trajectories T1 and T2, referred to below as T5, are generated.
  • the new trajectory T5 runs at least by the first image value Wl at the position PI.
  • the new trajectory T5 between the Hilfstra ektorien HT1, HT2 run such that at any point on the new trajectories, a ratio of the shortest distances between the arbitrary point and the two Hilfstraj ektorien to a ratio of the distances AI, A2 in the first image value is identical.
  • a third image value W35 of the new trajectory T5 is equal to the prediction value PRW for the first image value.
  • a reconstructed image value WR can also be determined for the third image value W35 of the new trajectory T5.
  • a difference value from the first image and the value W refdik ⁇ tion value PRW may first be formed into
  • RES (BP1) Wl - PRW
  • the difference value is encoded quantized, for example, with a Huffman coding deco ⁇ diert and inverse quantized.
  • Several difference values can optionally additionally be transformed before the quantization and transformed back after the inverse quantization.
  • a reconstructed difference value results
  • This reconstructed image value is taken as the third image value W35 of the new trajectory T5 in subsequent formations of a further prediction value, e.g. for PBX, see heading C3.
  • each of the trajectories is a non-linear Form has.
  • the trajectories start in each case in one of the second image values W22 and therefore have the second image value W22 as the third image value W32.
  • the first pixel BP1 is at position c3.
  • the trajectories have been constructed in such a way that they lie exactly at a position of the respective image value.
  • only one auxiliary vector eH2 is determined, in which the distance A2 is zero.
  • mixed forms may also occur in which one or more of the positions are not on a trajectory or
  • the trajectory T2 is chosen as the auxiliary vector eh2 since the distance A2 between the auxiliary vector HT2 and the position of the first image value is zero.
  • the prediction value PRW is equal to the third image value W32 of the trajectory T2, this third image value W32 being equal to the second image value W22 of the reconstructed pixel BR2.
  • a prediction is carried out stepwise, wherein after passing through a prediction a prediction direction for a subsequent prediction is adaptively adaptable.
  • a first line of first image values see in the coordinate system associated pixels at the positio ⁇ nen bl, b2, b3, b4, by the directly above the second Image values W21, W22, W23, W24 of the reconstructed pixels PR1, PR2, PR3, PR4 predicts.
  • a second line of first image values is predicted by a diagonal from top left to bottom right leading prediction direction. This corresponds, for example, to the prediction direction 4 from FIG. 1.
  • this prediction direction is also carried out for the first image values with first pixels at the positions d1 and el.
  • a downward prediction takes place, marked with the numbers 3 and 4 in FIG. 6.
  • the trajectory Tl leads from al, bl, c2, d2 to e2.
  • Analog as ⁇ to the trajectories T2 and T3 are formed.
  • a second image value of the reconstructed pixel is used, for example for generating a prediction value for a first image value at position e2 the second image value W21 of the reconstructed pixel BR1.
  • reconstructed pixels ge ⁇ Häss the hatched pixels are used in Fig. 6
  • an associated reconstructed image value WR can be determined and used for the subsequent prediction step .
  • a prediction value is determined for the first image value at the posi tion ⁇ bl.
  • a second image value for the pixel at position reconstructed BL is generated.
  • This second image value is then used for determining a prediction value for the first image value at the position ⁇ c2, instead of the second image value of the reconstructed pixel from the position al.
  • This approach can be used for other encode ⁇ de first pixels along the respective trajectory is ⁇ applies analogously. This procedure can also be used for other embodiments .
  • the described embodiments can be implemented and executed by means of specific devices, see FIG. 7.
  • the devices VOR have units E1, E2, E3, E4, EW which implement and execute individual steps of the embodiments.
  • the units can be implemented and executed in software, hardware and / or in a combination of software and hardware.
  • the units can run on a processor, wherein individual steps of the method can be stored in a memory and loaded into the processor.
  • the image values such as the first, second and third image values and further information about the image, as well as further process steps for coding and decoding image values, can be stored in the memory.
  • JTC1 / SC29 / WG11 MPEG
  • ITU-T SG16 Q.6 VCEG

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Compression Of Band Width Or Redundancy In Fax (AREA)

Abstract

L'invention concerne un procédé et un dispositif d'établissement d'une valeur de prédiction. Ce procédé comprend la description locale d'une direction de prédiction au moyen de trajectoires qui ne sont pas rectilignes, cette direction de prédiction étant utilisable dans le cadre de l'établissement d'une valeur de prédiction. L'invention a pour avantage de permettre l'établissement d'une prédiction avec une précision accrue. Les domaines d'application de l'invention sont la compression d'images ou de séquences d'images.
EP12700628.6A 2011-01-14 2012-01-05 Procédé et dispositif d'établissement d'une valeur de prédiction Withdrawn EP2617197A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102011002732 2011-01-14
DE102011006036A DE102011006036B4 (de) 2011-01-14 2011-03-24 Verfahren und Vorrichtungen zur Bildung eines Prädiktionswertes
PCT/EP2012/050133 WO2012095350A1 (fr) 2011-01-14 2012-01-05 Procédé et dispositif d'établissement d'une valeur de prédiction

Publications (1)

Publication Number Publication Date
EP2617197A1 true EP2617197A1 (fr) 2013-07-24

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US (1) US9225985B2 (fr)
EP (1) EP2617197A1 (fr)
JP (1) JP5746370B2 (fr)
KR (1) KR20140005232A (fr)
CN (1) CN103283232B (fr)
DE (1) DE102011006036B4 (fr)
WO (1) WO2012095350A1 (fr)

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JP5597968B2 (ja) * 2009-07-01 2014-10-01 ソニー株式会社 画像処理装置および方法、プログラム、並びに記録媒体
US9467692B2 (en) * 2012-08-31 2016-10-11 Qualcomm Incorporated Intra prediction improvements for scalable video coding
KR20180054693A (ko) 2015-10-13 2018-05-24 엘지전자 주식회사 비디오 신호의 인코딩, 디코딩 방법 및 그 장치
EP3301931A1 (fr) * 2016-09-30 2018-04-04 Thomson Licensing Procédé et appareil de codage vidéo omnidirectionnel avec prédiction adaptative interne
US10791327B2 (en) * 2017-06-30 2020-09-29 Telefonaktiebolaget Lm Ericsson (Publ) Encoding and decoding a picture block
EP3709643A1 (fr) 2019-03-11 2020-09-16 InterDigital VC Holdings, Inc. Partitionnement de mode de prédiction intra

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JP2006005438A (ja) 2004-06-15 2006-01-05 Sony Corp 画像処理装置およびその方法
KR101380580B1 (ko) 2006-08-02 2014-04-02 톰슨 라이센싱 비디오 인코딩을 위한 적응형 기하학적 파티셔닝 방법 및 장치
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Publication number Publication date
DE102011006036A1 (de) 2012-07-19
CN103283232B (zh) 2016-04-13
DE102011006036B4 (de) 2012-12-27
CN103283232A (zh) 2013-09-04
KR20140005232A (ko) 2014-01-14
US9225985B2 (en) 2015-12-29
US20130301718A1 (en) 2013-11-14
JP2014507857A (ja) 2014-03-27
WO2012095350A1 (fr) 2012-07-19
JP5746370B2 (ja) 2015-07-08

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