US20040190610A1 - Method and apparatus for encoding and/or decoding moving pictures - Google Patents

Method and apparatus for encoding and/or decoding moving pictures Download PDF

Info

Publication number
US20040190610A1
US20040190610A1 US10/755,671 US75567104A US2004190610A1 US 20040190610 A1 US20040190610 A1 US 20040190610A1 US 75567104 A US75567104 A US 75567104A US 2004190610 A1 US2004190610 A1 US 2004190610A1
Authority
US
United States
Prior art keywords
input image
quantization
unit
quantization matrix
index information
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.)
Abandoned
Application number
US10/755,671
Other languages
English (en)
Inventor
Byung-cheol Song
Kang-wook Chun
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.)
Samsung Electronics Co Ltd
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
Assigned to SAMSUNG ELECTRONICS CO., LTD. reassignment SAMSUNG ELECTRONICS CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHUN, KANG-WOOK, SONG, BYUNG-CHEOL
Publication of US20040190610A1 publication Critical patent/US20040190610A1/en
Priority to US11/249,312 priority Critical patent/US8014448B2/en
Priority to US11/249,310 priority patent/US7978766B2/en
Priority to US11/249,374 priority patent/US7970053B2/en
Priority to US11/249,389 priority patent/US7970054B2/en
Priority to US11/249,340 priority patent/US7970051B2/en
Priority to US11/249,343 priority patent/US7970052B2/en
Priority to US11/645,692 priority patent/US7978767B2/en
Priority to US12/149,383 priority patent/US8345745B2/en
Priority to US12/149,382 priority patent/US8331440B2/en
Priority to US12/149,380 priority patent/US8340173B2/en
Priority to US13/709,713 priority patent/US8902975B2/en
Abandoned legal-status Critical Current

Links

Images

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
    • H04N19/10—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
    • 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
    • H04N19/117—Filters, e.g. for pre-processing or post-processing
    • 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
    • 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
    • H04N19/136—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
    • H04N19/134—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
    • H04N19/17—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
    • H04N19/186—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 colour or a chrominance component
    • 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
    • H04N19/44—Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder
    • 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
    • H04N19/46—Embedding additional information in the video signal during the compression process
    • 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
    • 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
    • H04N19/80—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation
    • 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
    • H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression

Definitions

  • the present invention relates to a method and apparatus for encoding and/or decoding moving pictures, and more particularly, to a method and an apparatus for encoding and/or decoding moving pictures which are capable of enhancing the efficiency of encoding moving pictures by adaptively selecting a quantization matrix in consideration of the characteristics of images input into a moving picture encoder.
  • FIG. 1 is a block diagram of an encoding unit 120 for encoding moving pictures and a decoding unit 140 for decoding encoded moving pictures.
  • the encoding unit 120 creates a bitstream encoded by a compression technique, and the decoding unit 140 restores original images from a bitstream input thereinto.
  • a discrete cosine transform (DCT) unit 122 carries out a DCT operation on image data input thereinto in the unit of an 8 ⁇ 8 pixel block in order to remove spatial correlation from the input image data.
  • a quantization unit (Q) 124 carries out highly efficient data loss compression by carrying out quantization on the input image data using a DCT coefficient obtained by the DCT unit 122 and representing the quantized data by several representative values.
  • An inverse quantization unit (IQ) 126 inversely quantizes the quantized image data provided by the quantization unit 124 .
  • An inverse discrete cosine transform (IDCT) unit 128 carries out an IDCT on the inversely quantized image data provided by the inverse quantization unit 126 .
  • a frame memory unit 130 stores the IDCT'ed image data provided by the IDCT unit 128 on a frame-by-frame basis.
  • a motion estimation and compensation unit (ME/MC) 132 estimates a motion vector (MV) for each macroblock and a sum of absolute difference (SAD), which correspond to a block matching error, by using the image data of a current frame inputted thereinto and the image data of a previous frame stored in the frame memory unit 130 .
  • MV motion vector
  • SAD sum of absolute difference
  • VLC variable length coding unit
  • a bitstream encoded by the encoding unit 120 is decoded by the decoding unit 140 .
  • the decoding unit 140 includes a variable length decoding unit (VLD) 142 , an inverse quantization unit 144 , an IDCT unit 146 , a frame memory unit 148 , and a motion estimation unit 150 .
  • VLD variable length decoding unit
  • U.S. Pat. No. 6 , 480 , 539 discloses an example of an apparatus for encoding moving pictures.
  • a set-top box which receives an analog terrestrial broadcast program and then encodes and stores the received program by using a data compression method such as MPEG2 or MPEG4, has recently been developed.
  • a data compression method such as MPEG2 or MPEG4
  • images arriving at a receiving terminal may be distorted due to channel noise.
  • an image may look as if white Gaussian noise were added thereto. If the image is compressed as it is, the efficiency of compressing the image may be very low due to the influence of the white Gaussian noise.
  • a pretreatment filter is provided at an input port of an encoder.
  • an additional calculation process for encoding moving pictures is needed.
  • a quantization matrix is determined irrespective of the characteristics of an input image, and quantization is carried out on the input image by applying the quantization matrix to the input image on a picture-by-picture basis, in which case the efficiency of encoding the inputted image is low.
  • the present invention provides a method and an apparatus for encoding and/or decoding moving pictures, which are capable of improving the efficiency and performance of compressing moving pictures.
  • the present invention also provides a method and an apparatus for encoding and/or decoding moving pictures, which are capable of removing noise without increasing the number of calculations performed.
  • a method of encoding moving pictures using a plurality of quantization matrices involves (a) selecting one of the plurality of quantization matrices in consideration of characteristics of an input image; (b) transforming the input image; and (c) quantizing the transformed input image using the selected quantization matrix.
  • a method of decoding moving pictures using a plurality of quantization matrices involves (a) carrying out variable length decoding on encoded image data; (b) extracting index information that specifies one of the plurality of quantization matrices, classified according to characteristics of an input image, from the variable-length-decoded image data; (c) selecting one of the plurality of quantization matrices based on the extracted index information; and (d) inversely quantizing each macroblock of the variable-length-decoded image data using the selected quantization matrix.
  • an apparatus for encoding moving pictures using a plurality of quantization matrices includes a quantization matrix determination unit that selects one of the plurality of quantization matrices for each macroblock in consideration of characteristics of an input image and generates index information indicating the selected quantization matrix for each macro block; a quantization matrix storage unit that stores a plurality of quantization matrices, which are classified according to the characteristics of the input image and outputs a quantization matrix for each macroblock according to the index information generated by the quantization matrix determination unit; an image transformation unit that transforms the input image; and a quantization unit that quantizes the transformed input image using the selected quantization matrix.
  • an apparatus for decoding moving pictures using a plurality of quantization matrices includes a variable length decoding unit that receives an encoded image stream, carries out variable length decoding on the input image stream, and extracts index information that specifies one of the plurality of quantization matrices, which are classified according to characteristics of an input image, from each macroblock of the variable-length-decoded image stream; a quantization matrix storage unit that stores the plurality of quantization matrices, selects one of the plurality of quantization matrices based on the extracted index information, and outputs the selected quantization matrix; and an inverse quantization unit that inversely quantizes each macroblock of the variable-length-decoded image stream using the quantization matrix output from the quantization matrix storage unit.
  • FIG. 1 is a block diagram of a conventional MPEG encoder and a conventional MPEG decoder
  • FIG. 2 is a block diagram of an approximated generalized Wiener filter processing an image whose average is not 0;
  • FIG. 3 is a block diagram of an approximated generalized Wiener filter processing an image whose average is not 0 in a DCT block;
  • FIGS. 4A through 4C are block diagrams of different types of approximated generalized Wiener filters used for intra-block encoding
  • FIG. 5 is a block diagram of a typical video encoder used for inter-block encoding
  • FIG. 6 is a block diagram of an apparatus for encoding moving pictures according to an embodiment of the present invention.
  • FIG. 7 is a block diagram of an apparatus for encoding moving pictures according to an embodiment of the present invention.
  • FIG. 8 is a block diagram of an apparatus for decoding moving pictures according to an embodiment of the present invention.
  • pre-treatment filtering is very important because it can increase the efficiency of encoding the moving pictures by removing noise from images. While a conventional pre-treatment filtering technique for removing noise from images is generally carried out in a spatial pixel block, in the present invention, a noise removal technique is carried out in a DCT block in an apparatus for encoding moving pictures.
  • an approximated generalized Weiner filtering method is used for removing noise from images.
  • Weiner filtering is realized by taking advantage of fast unitary transformation, such as a discrete cosine transform (DCT).
  • DCT discrete cosine transform
  • a filtering method other than the approximated generalized Weiner filtering method may be selectively used for carrying out filtering in a DCT block.
  • FIG. 2 is a block diagram of an approximated generalized Weiner filter processing image data whose average is not 0.
  • v represents an image block containing noise
  • z, 900 represents a row-ordered column vector of a filtered image block. Since the average of the image block v is not 0, an average estimation unit 210 estimates an average z, 901 of the image block v, and a subtraction unit 220 subtracts the estimated average z, 901 from the image block v.
  • An addition unit 240 adds the estimated average z, 901 of the image block v to the filtered data and then outputs desirably filtered data z, 900 as a result of the addition.
  • Equation (1) The approximated generalized Weiner filtering method for processing an image model whose average is 0 can be expressed by Equation (1) below.
  • Equation (1) can be rearranged into Equation (2) below.
  • Equation (3) Equation (3)
  • Equation (4) ⁇ (k, l) represents normalized elements placed along a diagonal line of AL A* T , and ⁇ 2 represents a variance value of an original image y.
  • ⁇ 2 cannot be known. Therefore, ⁇ 2 substituted by a result of subtracting the noise variance value ⁇ n 2 from a variance value of z.
  • Equation (3) approximated generalized Weiner filtering is carried out on an image block whose average is 0 by multiplying a two-dimensional DCT coefficient Z(k, l) by ⁇ tilde over (p) ⁇ (k, l).
  • z, 902 (m, n) is determined, a final, filtered image is obtained by adding z, 901 (m, n) to z, 902 (m, n).
  • Equation (3) an image block filtered in the DCT block can be represented by Equation (6) below.
  • F(k, l) in Equation (6) can be expressed by Equation (7) below.
  • Equation (6) the entire filtering process can be simplified into a multiplication of F(k, l).
  • Equation (7) shows that F(k, l) is determined by a signal-to-noise ratio (SNR), a covariance matrix, and an average matrix.
  • SNR signal-to-noise ratio
  • an approximated generalized Weiner filtering process can be carried out on an image block whose average is not 0 by multiplying the image block with a DCT value.
  • FIGS. 4A through 4C are block diagrams of different types of approximated generalized Weiner filters in an apparatus for encoding moving pictures. More specifically, FIGS. 4A through 4C illustrate the structure of an encoding apparatus that processes an intra block.
  • FIGS. 4A and 4B describe that an intra block is encoded by carrying out filtering on the intra block in a DCT block and carrying out quantization and variable length coding (VLC) on the filtered intra block without performing an inverse DCT on the filtered intra block.
  • VLC variable length coding
  • FIGS. 4A and 4B describe that filtering is completed by multiplying the DCT coefficient by F(k, l).
  • quantization is carried out by multiplying or dividing the DCT coefficient by a certain value with reference to a quantization table.
  • the filtering carried out by multiplying the DCT coefficient by F(k, l) and the quantization carried out by multiplying the DCT coefficient by a certain value can be integrated into a single operation, as described in FIG. 4C.
  • FIGS. 4A through 4C the concepts of the present invention, described in FIGS. 4A through 4C, can be directly applied to an occasion when an apparatus for encoding moving pictures processes an inter block, as long as the noise has been removed from the motion-compensated block information p(m, n).
  • a covariance value ⁇ (k, l) is determined depending on whether an input image block is an inter block or an intra block. Therefore, F(k, l) of FIG. 5 may be varied depending on whether the input image block is an inter block or an intra block.
  • Equation (9) a method of obtaining an estimated variance value of intra blocks or inter blocks, from each of which their average is subtracted, will be described in detail with reference to Equation (9) below.
  • Supposing that S represents an N ⁇ N (where N 8) block from which an average of the corresponding block has already been subtracted, a variance matrix of the N ⁇ N block can be obtained using Equation (9).
  • C ⁇ 1 2 ⁇ N 2 ⁇ trace ⁇ ( S T ⁇ S ) ⁇ ( S T ⁇ S + SS T ) ( 9 )
  • Equation (9) has been disclosed by W. Niehsen and M. Brunig in “Covariance Analysis of Motion-compensated Frame Differences”, IEEE Trans. Circ. Syst. for Video Technol., June 1999.
  • An estimated variance value can be obtained by applying Equation (9) to a variety of experimental images.
  • an original image block is an intra block
  • an original image is divided into 8 ⁇ 8 blocks, and then a variance value of each of the 8 ⁇ 8 blocks is calculated.
  • an estimated variance value is calculated by applying Equation (9) above to each image block that is determined as an inter block .
  • Equation (7) [0063] of Equation (7) will be described.
  • Equation (7) the noise variance value ⁇ n 2 can be obtained by using a noise estimator. Given that noise and original image pixels are independent random variables, an estimated value z, 907 2 of the variance ⁇ 2 of an original image can be calculated using Equation (10) below.
  • ⁇ z 2 represents a variance value of each macroblock (MB).
  • MB macroblock
  • ⁇ z 2 is calculated on a macroblock-by-macroblock basis.
  • 8 ⁇ 8 blocks in the same macroblock are supposed to have the same variance value. Therefore, there is no need to perform additional calculations to obtain a variance value of each of the 8 ⁇ 8 blocks.
  • FIG. 6 is a block diagram of an apparatus for encoding moving pictures according to an embodiment of the present invention that encodes an input image in consideration of the characteristics of the input image.
  • a level of noise contained in the input image is adaptively reflected in a quantization matrix.
  • the apparatus of FIG. 6 includes a discrete cosine transfer unit 610 , a quantization unit (Q) 620 , a variable length coding unit (VLC) 670 , an inverse quantization unit (IQ) 630 , an inverse DCT unit (IDCT) 640 , a frame memory unit 650 , and a motion estimation and compensation unit 660 , which correspond to the DCT unit 122 , the quantization unit 124 , the VLC unit 134 , the inverse quantization unit 126 , the inverse DCT unit 128 , the frame memory 130 , and the motion estimation and compensation unit 132 , respectively, of the encoding unit 120 of FIG. 1.
  • the apparatus further includes a noise estimation unit 680 , a quantization weight matrix determination unit 692 , and a quantization weight matrix storage unit 694 .
  • the DCT unit 610 Since the DCT unit 610 , the inverse DCT unit 640 , the frame memory unit 650 , and the motion estimation and compensation unit 660 serve the same functions as their respective counterparts of FIG. 1, their description will not be repeated .
  • the quantization weight matrix determination unit 692 determines a quantization weight matrix corresponding to a predetermined macroblock based on a noise variance value ⁇ n 2 received from the noise estimation unit 680 and the predetermined macroblock's variance value ⁇ z 2 received from the motion estimation and compensation unit 660 . Thereafter, the quantization weight matrix determination unit 692 sends index information corresponding to the determined quantization weight matrix to the quantization weight matrix storage unit 694 and the VLC unit 670 .
  • F(k, l) is determined by Equation (7). Once F(k, l) is determined, the DCT coefficient V(k, l) of an 8 ⁇ 8 block is multiplied by F(k, l), and the result of the multiplication z, 905 (k, l) is divided by a predetermined quantization weight matrix during a quantization process.
  • the apparatus of FIG. 6 integrates the process of multiplying F(k, l) by the DCT coefficient V(k, l) and the process of dividing z, 905 (k, l) by the quantization weight matrix into a single process and performs the single process.
  • a location component of (k, l) of a quantization weight matrix QT is represented by Q(k, l)
  • a location of (k, l) in a new quantization weight matrix QT′ is Q(k, l)/F(k, l).
  • F(k, l) is determined by S(k, l), ⁇ (k, l), and ⁇ n 2 ⁇ 2 .
  • Equation (8) S(k, l) is calculated using Equation (8), and ⁇ (k, l) is variably set depending on whether or not an input image is an inter block or an intra block. Therefore, there is only one variable left for determining F(k, l), i.e., ⁇ n 2 ⁇ 2
  • quantization weight matrix storage unit 694 stores quantization weight matrices QT′.
  • the quantization weight matrix determination unit 692 quantizes ⁇ n 2 ⁇ 2
  • quantization weight matrices stored in the quantization weight matrix storage unit 694 are classified into five different types according to ⁇ n 2 ⁇ 2 ,
  • [0086] is carried out in five levels, and the index information of each of the five quantization weight matrices is set to 0,1, 2, 3, or 4.
  • T cutoff has a value between 1 and 2.
  • the quantization weight matrix storage unit 694 transmits a quantization weight matrix corresponding to the index information received from the quantization weight matrix determination unit 692 to the quantization unit 620 and the inverse quantization unit 630 .
  • the quantization unit 620 quantizes the predetermined macroblock using the quantization weight matrix received from the quantization weight matrix storage unit 694 .
  • the inverse quantization unit 630 inversely quantizes the predetermined macroblock using the received quantization weight value.
  • the VLC unit 670 carries out VLC on input image data quantized by the quantization unit 620 and inserts the index information of the quantization weight matrix received from the quantization weight matrix determination unit 692 into a macroblock header.
  • the index information of the corresponding quantization weight matrix is inserted into the macroblock header and the macroblock header is transmitted. If there are ten quantization weight matrices stored in the quantization weight matrix storage unit 694 , then 4-bit data is required for each macroblock.
  • Adjacent macroblocks are supposed to have similar image characteristics and there is supposedly a correlation among their index values. Therefore, a difference between an index value of one macroblock and an index value of an adjacent macroblock may be used as index information.
  • the amount of index information to be transmitted can be considerably reduced in cases where a single quantization weight matrix is applied to an entire sequence.
  • a plurality of quantization weight matrices stored in the quantization weight matrix storage unit 694 should also be stored in a decoding unit. It may also be possible to use a plurality of quantization weight matrices transmitted to the decoding unit on a picture-by-picture basis using a picture extension header or transmitted to the decoding unit on a sequence-by-sequence basis using a sequence extension header.
  • noise removal has been described as being performed on a Y component of an input image block in a DCT block.
  • the noise removal can also be applied to a U or V component of the input image block, in which case additional quantization weight matrices are required exclusively for the U and V components of the input image block.
  • FIG. 7 is a block diagram of an apparatus for encoding moving pictures according to another preferred embodiment of the present invention that encodes an input image in consideration of the characteristics of the input image.
  • the edge characteristics of each macroblock of the input image are taken into consideration in the present embodiment.
  • an apparatus for encoding moving pictures includes a DCT unit 710 , a quantization unit 720 , a VLC unit 770 , an inverse quantization unit 730 , an inverse DCT unit 740 , a frame memory unit 750 , and a motion estimation and compensation unit 760 , which correspond to the DCT unit 122 , the quantization unit 124 , the VLC unit 134 , the inverse quantization unit 126 , the inverse DCT unit 128 , the frame memory 130 , and the motion estimation and compensation unit 132 , respectively, of the encoding unit 120 of FIG. 1.
  • the apparatus further includes a quantization matrix determination unit 780 and a quantization matrix storage unit 790 . Since the DCT unit 710 , the inverse DCT unit 740 , the frame memory unit 750 , the motion estimation and compensation unit 760 , and the VLC unit 770 serve the same functions as their respective counterparts of FIG. 1, their description will not be repeated .
  • the quantization matrix determination unit 780 selects an optimal quantization matrix for each macroblock in consideration of the characteristics of an input image and then transmits index information of the selected quantization matrix to the quantization matrix storage unit 790 and the VLC unit 770 .
  • the quantization matrix determination unit 780 takes the edge characteristics of each macroblock into consideration as a benchmark for selecting one out of a predetermined number of quantization matrices.
  • the quantization matrix determination unit 780 calculates the magnitude of a vertical edge and the magnitude of a horizontal edge using Equation (12) above and calculates the intensity and direction of an edge of the predetermined macroblock using the magnitude of the vertical and horizontal edges. Thereafter, the quantization matrix determination unit 780 selects one from among a predetermined number of quantization matrices in consideration of the intensity and direction of the edge of the predetermined macroblock and encoding efficiency. In other words, in a case where the predetermined macro block includes a horizontal or vertical edge, the quantization matrix determination unit 780 selects a quantization matrix that can enable quantization in full consideration of the horizontal or vertical edge of the predetermined macro block.
  • the intensity and direction of an edge included in the predetermined macroblock can also be obtained using such an edge detector as a sobel operator.
  • a sobel detector is used for computing the intensity and direction of an edge included in the predetermined macroblock.
  • a spatial filter such as a differential filter or a Robert's filter, can also be used for computing the intensity and direction of the edge included in the predetermined macroblock.
  • a quantization matrix is selected in consideration of the edge characteristics of the predetermined macroblock.
  • other characteristics of the predetermined macroblock that can affect encoding efficiency or the quality of an output image can be taken into consideration in adaptively selecting an optimal quantization matrix for the predetermined macroblock.
  • the quantization matrix storage unit 790 selects a quantization matrix based on the index information received from the quantization matrix determination unit 780 and transmits the selected quantization matrix to the quantization unit 720 and the inverse quantization unit 730 .
  • the quantization unit 720 carries out quantization using the quantization matrix received from the quantization matrix storage unit 790 .
  • the inverse quantization unit 730 carries out inverse quantization using the quantization matrix received from the quantization matrix storage unit 790 .
  • the VLC unit 770 carries out VLC on quantized input image data, received from the quantization unit 720 , and index information of a quantization matrix corresponding to the predetermined macroblock, received from the quantization weight matrix determination unit 780 .
  • the index information is inserted into a macroblock header.
  • index information of a quantization weight matrix corresponding to a predetermined macroblock is inserted into a header of the predetermined macroblock and then transmitted.
  • a difference between an index value of one macroblock and an index value of an adjacent macroblock may be used as index information.
  • a plurality of quantization weight matrices stored in the quantization matrix storage unit 790 are also stored in a decoding unit .
  • FIG. 8 is a block diagram of an apparatus for decoding moving pictures according to an embodiment of the present invention.
  • the apparatus includes a variable length decoding unit 810 , an inverse quantization unit 820 , an inverse DCT unit 830 , a frame memory unit 840 , and a motion compensation unit 850 , which correspond to the variable length decoding unit 142 , the inverse quantization unit 144 , the inverse DCT unit 146 , the frame memory unit 148 , and the motion compensation unit 150 , respectively, of the decoding unit 140 of FIG. 1.
  • the apparatus further includes a quantization weight matrix storage unit 860 .
  • the inverse DCT unit 830 , the frame memory unit 840 , and the motion compensation unit 850 serve the same functions as their respective counterparts of FIG. 1, and thus their description will not be repeated here.
  • variable length decoding unit 810 carries out variable length decoding on an input stream, extracts index information of a quantization weight matrix corresponding to a predetermined macroblock of the input stream from a header of the predetermined macroblock, and outputs the extracted index information to the quantization weight matrix storage unit 860 .
  • the quantization weight matrix storage unit 860 outputs a quantization weight matrix corresponding to the index information received from the variable length decoding unit 810 to the inverse quantization unit 820 .
  • the quantization weight matrix storage unit 860 stores a plurality of quantization weight matrices, which are classified according to the characteristics of an input image processed by an encoding unit, for example, a noise variance value as a ratio between an input image variance value and the edge characteristics of the input image.
  • the plurality of quantization weight matrices stored in the quantization weight matrix storage unit 860 can be transmitted on a picture-by-picture basis using a picture extension header or transmitted to the decoding unit on a sequence-by-sequence basis using a sequence extension header.
  • the plurality of quantization weight matrices are transmitted from the variable length decoding unit 810 to the quantization weight matrix storage unit 860 , as marked by a dotted line in FIG. 8.
  • the present invention can be applied to different types of methods and apparatuses for encoding and/or decoding moving pictures, such as MPEG-1, MPEG-2, or MPEG-4.
  • the present invention can be realized as computer-readable codes written on a computer-readable recording medium.
  • the computer-readable recording medium includes any type of recording device on which data can be written in a computer-readable manner.
  • the computer-readable recording medium includes ROM, RAM, CD-ROM, a magnetic tape, a hard disk, a floppy disk, flash memory, an optical data storage, and a carrier wave (such as data transmission through the Internet).
  • the computer-readable recording medium can be distributed over a plurality of computer systems which are connected to one another in a network sort of way so that computer-readable codes are stored on the computer-readable recording medium in a decentralized manner.
  • a quantization matrix is adaptively applied to each macroblock of an input image in consideration of the characteristics of the input image.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
US10/755,671 2003-01-14 2004-01-13 Method and apparatus for encoding and/or decoding moving pictures Abandoned US20040190610A1 (en)

Priority Applications (11)

Application Number Priority Date Filing Date Title
US11/249,343 US7970052B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,340 US7970051B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,389 US7970054B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,310 US7978766B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,374 US7970053B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,312 US8014448B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/645,692 US7978767B2 (en) 2003-01-14 2006-12-27 Method and apparatus for encoding and/or decoding moving pictures
US12/149,383 US8345745B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US12/149,382 US8331440B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US12/149,380 US8340173B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US13/709,713 US8902975B2 (en) 2003-01-14 2012-12-10 Method and apparatus for encoding and/or decoding moving pictures

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR2003-2371 2003-01-14
KR20030002371A KR100584552B1 (ko) 2003-01-14 2003-01-14 동영상 부호화 및 복호화 방법과 그 장치

Related Child Applications (7)

Application Number Title Priority Date Filing Date
US11/249,343 Continuation US7970052B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,389 Continuation US7970054B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,374 Continuation US7970053B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,340 Continuation US7970051B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,310 Continuation US7978766B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,312 Continuation US8014448B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/645,692 Continuation US7978767B2 (en) 2003-01-14 2006-12-27 Method and apparatus for encoding and/or decoding moving pictures

Publications (1)

Publication Number Publication Date
US20040190610A1 true US20040190610A1 (en) 2004-09-30

Family

ID=36154833

Family Applications (12)

Application Number Title Priority Date Filing Date
US10/755,671 Abandoned US20040190610A1 (en) 2003-01-14 2004-01-13 Method and apparatus for encoding and/or decoding moving pictures
US11/249,389 Expired - Fee Related US7970054B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,310 Expired - Fee Related US7978766B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,340 Expired - Fee Related US7970051B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,343 Expired - Fee Related US7970052B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,374 Expired - Fee Related US7970053B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,312 Expired - Fee Related US8014448B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/645,692 Expired - Fee Related US7978767B2 (en) 2003-01-14 2006-12-27 Method and apparatus for encoding and/or decoding moving pictures
US12/149,382 Active 2026-12-11 US8331440B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US12/149,380 Active 2027-01-15 US8340173B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US12/149,383 Active 2026-12-29 US8345745B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US13/709,713 Expired - Fee Related US8902975B2 (en) 2003-01-14 2012-12-10 Method and apparatus for encoding and/or decoding moving pictures

Family Applications After (11)

Application Number Title Priority Date Filing Date
US11/249,389 Expired - Fee Related US7970054B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,310 Expired - Fee Related US7978766B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,340 Expired - Fee Related US7970051B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,343 Expired - Fee Related US7970052B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,374 Expired - Fee Related US7970053B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/249,312 Expired - Fee Related US8014448B2 (en) 2003-01-14 2005-10-14 Method and apparatus for encoding and/or decoding moving pictures
US11/645,692 Expired - Fee Related US7978767B2 (en) 2003-01-14 2006-12-27 Method and apparatus for encoding and/or decoding moving pictures
US12/149,382 Active 2026-12-11 US8331440B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US12/149,380 Active 2027-01-15 US8340173B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US12/149,383 Active 2026-12-29 US8345745B2 (en) 2003-01-14 2008-04-30 Method and apparatus for encoding and/or decoding moving pictures
US13/709,713 Expired - Fee Related US8902975B2 (en) 2003-01-14 2012-12-10 Method and apparatus for encoding and/or decoding moving pictures

Country Status (5)

Country Link
US (12) US20040190610A1 (enrdf_load_stackoverflow)
EP (13) EP1624697A1 (enrdf_load_stackoverflow)
JP (14) JP4601966B2 (enrdf_load_stackoverflow)
KR (1) KR100584552B1 (enrdf_load_stackoverflow)
CN (7) CN1756367A (enrdf_load_stackoverflow)

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060029132A1 (en) * 2003-01-14 2006-02-09 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US20070116124A1 (en) * 2005-11-18 2007-05-24 Apple Computer, Inc. Regulation of decode-side processing based on perceptual masking
US20070237236A1 (en) * 2006-04-07 2007-10-11 Microsoft Corporation Estimating sample-domain distortion in the transform domain with rounding compensation
US20070248164A1 (en) * 2006-04-07 2007-10-25 Microsoft Corporation Quantization adjustment based on texture level
WO2007130580A3 (en) * 2006-05-05 2008-02-14 Microsoft Corp Flexible quantization
US20080192838A1 (en) * 2004-01-30 2008-08-14 Tao Chen Picture Coding Method, Picture Decoding Method, Picture Coding Apparatus, Picture Decoding Apparatus, and Program Thereof
US20080317377A1 (en) * 2007-06-19 2008-12-25 Katsuo Saigo Image coding apparatus and image coding method
US20090067492A1 (en) * 2005-04-12 2009-03-12 Peter Amon Method and Device for Minimizing a Quantization Errror
US7801383B2 (en) 2004-05-15 2010-09-21 Microsoft Corporation Embedded scalar quantizers with arbitrary dead-zone ratios
US7974340B2 (en) 2006-04-07 2011-07-05 Microsoft Corporation Adaptive B-picture quantization control
US20110228843A1 (en) * 2008-11-27 2011-09-22 Matthias Narroschke Video decoding method, video encoding method, video decoder, video encoder, program, and integrated circuit
US8130828B2 (en) 2006-04-07 2012-03-06 Microsoft Corporation Adjusting quantization to preserve non-zero AC coefficients
US8189933B2 (en) 2008-03-31 2012-05-29 Microsoft Corporation Classifying and controlling encoding quality for textured, dark smooth and smooth video content
US8238424B2 (en) 2007-02-09 2012-08-07 Microsoft Corporation Complexity-based adaptive preprocessing for multiple-pass video compression
US8243797B2 (en) 2007-03-30 2012-08-14 Microsoft Corporation Regions of interest for quality adjustments
US8331438B2 (en) 2007-06-05 2012-12-11 Microsoft Corporation Adaptive selection of picture-level quantization parameters for predicted video pictures
US8422546B2 (en) 2005-05-25 2013-04-16 Microsoft Corporation Adaptive video encoding using a perceptual model
US8442337B2 (en) 2007-04-18 2013-05-14 Microsoft Corporation Encoding adjustments for animation content
US8498335B2 (en) 2007-03-26 2013-07-30 Microsoft Corporation Adaptive deadzone size adjustment in quantization
US8503536B2 (en) 2006-04-07 2013-08-06 Microsoft Corporation Quantization adjustments for DC shift artifacts
US20140211039A1 (en) * 2013-01-31 2014-07-31 Inview Technology Corporation Efficient Transforms and Efficient Row Generation for Kronecker Products of Hadamard Matrices
US20140327737A1 (en) * 2013-05-01 2014-11-06 Raymond John Westwater Method and Apparatus to Perform Optimal Visually-Weighed Quantization of Time-Varying Visual Sequences in Transform Space
US8897359B2 (en) 2008-06-03 2014-11-25 Microsoft Corporation Adaptive quantization for enhancement layer video coding
JP2015176161A (ja) * 2014-03-12 2015-10-05 株式会社メガチップス 画像処理装置及び画像処理方法
US20160021379A1 (en) * 2012-04-13 2016-01-21 Mitsubishi Electric Corporation Image encoding device, image decoding device, image encoding method, and image decoding method
US9706205B2 (en) 2011-02-10 2017-07-11 Velos Media, Llc Image processing device and image processing method
US20170257649A1 (en) * 2014-08-22 2017-09-07 Nova Southeastern University Data adaptive compression and data encryption using kronecker products
CN112565769A (zh) * 2020-12-02 2021-03-26 浙江大华技术股份有限公司 块划分方法、帧间预测方法、视频编码方法及相关装置
US12309391B2 (en) 2020-12-02 2025-05-20 Zhejiang Dahua Technology Co., Ltd. Systems and method for inter prediction based on a merge mode

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100708118B1 (ko) * 2005-01-07 2007-04-16 삼성전자주식회사 복수개의 변형 곱셈 테이블을 이용한 동영상 부호화 및복호화 장치와 그 방법, 및 이를 구현하기 위한프로그램이 기록된 기록 매체
US7433516B2 (en) * 2005-03-02 2008-10-07 Primax Electronics Ltd. Method of extracting a textual area in a digital image
US7684632B2 (en) * 2005-05-16 2010-03-23 Hewlett-Packard Development Company, L.P. Estimating image compression quantization parameter values
US8532176B2 (en) * 2006-07-10 2013-09-10 Sharp Laboratories Of America, Inc. Methods and systems for combining layers in a multi-layer bitstream
JP4993676B2 (ja) * 2006-09-01 2012-08-08 キヤノン株式会社 画像符号化装置及び画像符号化方法
CN101523441B (zh) * 2006-09-29 2012-01-18 汤姆逊许可证公司 空间活动量度和用于评价空间活动量度的方法
FR2919943B1 (fr) * 2007-08-07 2010-02-26 Dxo Labs Procede de traitement d'objet numerique et systeme associe
EP2046053A1 (en) * 2007-10-05 2009-04-08 Thomson Licensing Method and device for adaptively quantizing parameters for image coding
US8208745B2 (en) * 2008-01-31 2012-06-26 Analog Devices, Inc. Spatial domain video enhancement/scaling system and method
KR101456487B1 (ko) * 2008-03-04 2014-10-31 삼성전자주식회사 부화소 단위의 움직임 예측을 이용한 영상 부호화, 복호화방법 및 그 장치
JP4768779B2 (ja) * 2008-06-02 2011-09-07 株式会社東芝 動画像符号化／復号化の方法及び装置
CN105791861B (zh) * 2009-04-20 2018-12-04 杜比实验室特许公司 定向内插和数据后处理
FR2948845A1 (fr) * 2009-07-30 2011-02-04 Thomson Licensing Procede de decodage d'un flux representatif d'une sequence d'images et procede de codage d'une sequence d'images
US20130058410A1 (en) 2010-05-13 2013-03-07 Sharp Kabushiki Kaisha Encoding device, decoding device, and data structure
US9378185B2 (en) 2010-09-30 2016-06-28 Texas Instruments Incorporated Transform and quantization architecture for video coding and decoding
MX346765B (es) * 2011-12-19 2017-03-31 Sony Corp Dispositivo y metodo de procesamiento de imagenes.
EP2801194B1 (en) * 2012-01-09 2021-10-27 Huawei Technologies Co., Ltd. Quantization matrix (qm) coding based on weighted prediction
CN109194958B (zh) 2012-01-20 2021-08-20 韩国电子通信研究院 使用量化矩阵的视频编解码装置
DK3300370T3 (da) * 2012-02-29 2019-05-20 Sony Corp Anordning og fremgangsmåde til billedbehandling
JP5624576B2 (ja) * 2012-03-14 2014-11-12 株式会社東芝 画像圧縮コントローラ及び画像圧縮装置
WO2013158669A1 (en) * 2012-04-16 2013-10-24 Huawei Technologies Co., Ltd. Method and apparatus of quantization matrix coding
CN111147852B (zh) 2012-04-16 2022-05-31 韩国电子通信研究院 图像解码方法和图像编码方法
CN104683801B (zh) * 2013-11-29 2018-06-05 华为技术有限公司 图像压缩方法和装置
TWI561060B (en) * 2015-01-15 2016-12-01 Mstar Semiconductor Inc Signal processing apparatus and signal processing method including quantization or inverse-quantization process
AU2018217336B2 (en) 2018-08-17 2025-04-24 Canon Kabushiki Kaisha Method, apparatus and system for encoding and decoding a transformed block of video samples
AU2018217333B2 (en) * 2018-08-17 2025-04-24 Canon Kabushiki Kaisha Method, apparatus and system for encoding and decoding a transformed block of video samples
JP2023011955A (ja) * 2019-12-03 2023-01-25 シャープ株式会社 動画像符号化装置、動画像復号装置
CN112055203B (zh) * 2020-08-22 2024-04-12 浙江大华技术股份有限公司 帧间预测方法、视频编码方法及其相关装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5214507A (en) * 1991-11-08 1993-05-25 At&T Bell Laboratories Video signal quantization for an mpeg like coding environment
US5610729A (en) * 1994-02-22 1997-03-11 Kokusai Denshin Denwa Kabushiki Kaisha Noise reduction apparatus for reducing noise in decoding of moving picture sequence
US6421386B1 (en) * 1999-12-29 2002-07-16 Hyundai Electronics Industries Co., Ltd. Method for coding digital moving video including gray scale shape information
US6480539B1 (en) * 1999-09-10 2002-11-12 Thomson Licensing S.A. Video encoding method and apparatus

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05316364A (ja) 1992-05-13 1993-11-26 Oki Electric Ind Co Ltd 画像の直交変換符号化方式
JP2935320B2 (ja) 1992-11-25 1999-08-16 日本電気株式会社 画像圧縮伸長装置
JPH06217278A (ja) 1993-01-13 1994-08-05 Fujitsu Ltd 画像データ符号化装置
US5737022A (en) * 1993-02-26 1998-04-07 Kabushiki Kaisha Toshiba Motion picture error concealment using simplified motion compensation
US5565921A (en) * 1993-03-16 1996-10-15 Olympus Optical Co., Ltd. Motion-adaptive image signal processing system
JPH0775102A (ja) 1993-07-19 1995-03-17 Sharp Corp 画像符号化装置
JP2768260B2 (ja) 1994-02-24 1998-06-25 日本電気株式会社 画像符号化制御方式
US5500678A (en) * 1994-03-18 1996-03-19 At&T Corp. Optimized scanning of transform coefficients in video coding
US5654760A (en) * 1994-03-30 1997-08-05 Sony Corporation Selection of quantization step size in accordance with predicted quantization noise
US5650829A (en) * 1994-04-21 1997-07-22 Sanyo Electric Co., Ltd. Motion video coding systems with motion vector detection
US5737481A (en) * 1994-06-22 1998-04-07 Matsushita Electric Industrial Co., Ltd. Information recording method, information recording apparatus and information recording medium
US5786856A (en) * 1996-03-19 1998-07-28 International Business Machines Method for adaptive quantization by multiplication of luminance pixel blocks by a modified, frequency ordered hadamard matrix
JP3769467B2 (ja) 1997-02-08 2006-04-26 松下電器産業株式会社 伝送方法
JP4081727B2 (ja) 1997-02-24 2008-04-30 ソニー株式会社 画像符号化装置および画像符号化方法、並びに記録装置および記録方法
US6097757A (en) * 1998-01-16 2000-08-01 International Business Machines Corporation Real-time variable bit rate encoding of video sequence employing statistics
US6285774B1 (en) 1998-06-08 2001-09-04 Digital Video Express, L.P. System and methodology for tracing to a source of unauthorized copying of prerecorded proprietary material, such as movies
US6999511B1 (en) * 1999-02-23 2006-02-14 International Business Machines Corporation Dynamically switching quant matrix tables within an MPEG-2 encoder
JP3395892B2 (ja) 1999-05-06 2003-04-14 日本電気株式会社 動画像符号化装置
JP2001204025A (ja) 2000-01-20 2001-07-27 Nippon Hoso Kyokai <Nhk> 高能率符号化装置
JP4010752B2 (ja) 2000-07-26 2007-11-21 株式会社リコー 画像処理装置と画像処理方法及びコンピュータ読み取り可能な記録媒体
JP2002247373A (ja) 2001-02-13 2002-08-30 Nec Access Technica Ltd 画像読取・出力方法並びに装置
JP2003009151A (ja) 2001-06-19 2003-01-10 Ricoh Co Ltd 画像処理装置、方法、記録媒体及びプログラム
KR20040058929A (ko) * 2002-12-27 2004-07-05 삼성전자주식회사 Ｄｔｃ 기반의 개선된 동영상 부호화 방법 및 그 장치
KR100584552B1 (ko) 2003-01-14 2006-05-30 삼성전자주식회사 동영상 부호화 및 복호화 방법과 그 장치

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5214507A (en) * 1991-11-08 1993-05-25 At&T Bell Laboratories Video signal quantization for an mpeg like coding environment
US5610729A (en) * 1994-02-22 1997-03-11 Kokusai Denshin Denwa Kabushiki Kaisha Noise reduction apparatus for reducing noise in decoding of moving picture sequence
US6480539B1 (en) * 1999-09-10 2002-11-12 Thomson Licensing S.A. Video encoding method and apparatus
US6421386B1 (en) * 1999-12-29 2002-07-16 Hyundai Electronics Industries Co., Ltd. Method for coding digital moving video including gray scale shape information

Cited By (71)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7970052B2 (en) 2003-01-14 2011-06-28 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US20060034372A1 (en) * 2003-01-14 2006-02-16 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US7978766B2 (en) 2003-01-14 2011-07-12 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US8014448B2 (en) 2003-01-14 2011-09-06 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US20060029132A1 (en) * 2003-01-14 2006-02-09 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US7970053B2 (en) 2003-01-14 2011-06-28 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US7970051B2 (en) 2003-01-14 2011-06-28 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US7970054B2 (en) 2003-01-14 2011-06-28 Samsung Electronics Co., Ltd. Method and apparatus for encoding and/or decoding moving pictures
US8401074B2 (en) 2004-01-30 2013-03-19 Panasonic Corporation Picture coding method, picture decoding method, picture coding apparatus, picture decoding apparatus, and program thereof
US20080192838A1 (en) * 2004-01-30 2008-08-14 Tao Chen Picture Coding Method, Picture Decoding Method, Picture Coding Apparatus, Picture Decoding Apparatus, and Program Thereof
US7630435B2 (en) * 2004-01-30 2009-12-08 Panasonic Corporation Picture coding method, picture decoding method, picture coding apparatus, picture decoding apparatus, and program thereof
US7801383B2 (en) 2004-05-15 2010-09-21 Microsoft Corporation Embedded scalar quantizers with arbitrary dead-zone ratios
US8559502B2 (en) * 2005-04-12 2013-10-15 Siemens Aktiengesellschaft Method and device for minimizing a quantization error
US20090067492A1 (en) * 2005-04-12 2009-03-12 Peter Amon Method and Device for Minimizing a Quantization Errror
US8422546B2 (en) 2005-05-25 2013-04-16 Microsoft Corporation Adaptive video encoding using a perceptual model
US8780997B2 (en) * 2005-11-18 2014-07-15 Apple Inc. Regulation of decode-side processing based on perceptual masking
US20070116124A1 (en) * 2005-11-18 2007-05-24 Apple Computer, Inc. Regulation of decode-side processing based on perceptual masking
US8503536B2 (en) 2006-04-07 2013-08-06 Microsoft Corporation Quantization adjustments for DC shift artifacts
US8249145B2 (en) 2006-04-07 2012-08-21 Microsoft Corporation Estimating sample-domain distortion in the transform domain with rounding compensation
US7995649B2 (en) 2006-04-07 2011-08-09 Microsoft Corporation Quantization adjustment based on texture level
US8059721B2 (en) 2006-04-07 2011-11-15 Microsoft Corporation Estimating sample-domain distortion in the transform domain with rounding compensation
US8130828B2 (en) 2006-04-07 2012-03-06 Microsoft Corporation Adjusting quantization to preserve non-zero AC coefficients
US20070237236A1 (en) * 2006-04-07 2007-10-11 Microsoft Corporation Estimating sample-domain distortion in the transform domain with rounding compensation
US8767822B2 (en) 2006-04-07 2014-07-01 Microsoft Corporation Quantization adjustment based on texture level
US20070248164A1 (en) * 2006-04-07 2007-10-25 Microsoft Corporation Quantization adjustment based on texture level
US7974340B2 (en) 2006-04-07 2011-07-05 Microsoft Corporation Adaptive B-picture quantization control
RU2476000C2 (ru) * 2006-05-05 2013-02-20 Майкрософт Корпорейшн Гибкое квантование
US9967561B2 (en) 2006-05-05 2018-05-08 Microsoft Technology Licensing, Llc Flexible quantization
US8184694B2 (en) 2006-05-05 2012-05-22 Microsoft Corporation Harmonic quantizer scale
US8711925B2 (en) 2006-05-05 2014-04-29 Microsoft Corporation Flexible quantization
US8588298B2 (en) 2006-05-05 2013-11-19 Microsoft Corporation Harmonic quantizer scale
WO2007130580A3 (en) * 2006-05-05 2008-02-14 Microsoft Corp Flexible quantization
US8238424B2 (en) 2007-02-09 2012-08-07 Microsoft Corporation Complexity-based adaptive preprocessing for multiple-pass video compression
US8498335B2 (en) 2007-03-26 2013-07-30 Microsoft Corporation Adaptive deadzone size adjustment in quantization
US8576908B2 (en) 2007-03-30 2013-11-05 Microsoft Corporation Regions of interest for quality adjustments
US8243797B2 (en) 2007-03-30 2012-08-14 Microsoft Corporation Regions of interest for quality adjustments
US8442337B2 (en) 2007-04-18 2013-05-14 Microsoft Corporation Encoding adjustments for animation content
US8331438B2 (en) 2007-06-05 2012-12-11 Microsoft Corporation Adaptive selection of picture-level quantization parameters for predicted video pictures
US20080317377A1 (en) * 2007-06-19 2008-12-25 Katsuo Saigo Image coding apparatus and image coding method
US8189933B2 (en) 2008-03-31 2012-05-29 Microsoft Corporation Classifying and controlling encoding quality for textured, dark smooth and smooth video content
US9185418B2 (en) 2008-06-03 2015-11-10 Microsoft Technology Licensing, Llc Adaptive quantization for enhancement layer video coding
US10306227B2 (en) 2008-06-03 2019-05-28 Microsoft Technology Licensing, Llc Adaptive quantization for enhancement layer video coding
US9571840B2 (en) 2008-06-03 2017-02-14 Microsoft Technology Licensing, Llc Adaptive quantization for enhancement layer video coding
US8897359B2 (en) 2008-06-03 2014-11-25 Microsoft Corporation Adaptive quantization for enhancement layer video coding
US20110228843A1 (en) * 2008-11-27 2011-09-22 Matthias Narroschke Video decoding method, video encoding method, video decoder, video encoder, program, and integrated circuit
US11196996B2 (en) 2011-02-10 2021-12-07 Velos Media, Llc Image processing device and image processing method
US9967564B2 (en) 2011-02-10 2018-05-08 Velos Media, Llc Image processing device and image processing method
US11825089B2 (en) 2011-02-10 2023-11-21 Sony Group Corporation Image processing device and image processing method
US11831873B2 (en) 2011-02-10 2023-11-28 Sony Group Corporation Image processing device and image processing method
US9706205B2 (en) 2011-02-10 2017-07-11 Velos Media, Llc Image processing device and image processing method
US11166024B2 (en) 2011-02-10 2021-11-02 Velos Media, Llc Image processing device and image processing method
US10257515B2 (en) 2011-02-10 2019-04-09 Velos Media, Llc Image processing device and image processing method
US10225554B2 (en) 2011-02-10 2019-03-05 Velos Media, Llc Image processing device and image processing method
US9986241B2 (en) 2011-02-10 2018-05-29 Velos Media, Llc Image processing device and image processing method
US12184857B2 (en) 2011-02-10 2024-12-31 Sony Group Corporation Image processing device and image processing method
US10674153B2 (en) 2011-02-10 2020-06-02 Velos Media, Llc Image processing device and image processing method
US10531089B2 (en) 2011-02-10 2020-01-07 Velos Media, Llc Image processing device and image processing method
US10009616B2 (en) * 2012-04-13 2018-06-26 Mitsubishi Electric Corporation Image encoding device, image decoding device, image encoding method, and image decoding method
US20160021379A1 (en) * 2012-04-13 2016-01-21 Mitsubishi Electric Corporation Image encoding device, image decoding device, image encoding method, and image decoding method
US9081731B2 (en) * 2013-01-31 2015-07-14 Inview Technology Corporation Efficient transforms and efficient row generation for Kronecker products of Hadamard matrices
US20140211039A1 (en) * 2013-01-31 2014-07-31 Inview Technology Corporation Efficient Transforms and Efficient Row Generation for Kronecker Products of Hadamard Matrices
US10070149B2 (en) 2013-05-01 2018-09-04 Zpeg, Inc. Method and apparatus to perform optimal visually-weighed quantization of time-varying visual sequences in transform space
US10021423B2 (en) * 2013-05-01 2018-07-10 Zpeg, Inc. Method and apparatus to perform correlation-based entropy removal from quantized still images or quantized time-varying video sequences in transform
US20160309190A1 (en) * 2013-05-01 2016-10-20 Zpeg, Inc. Method and apparatus to perform correlation-based entropy removal from quantized still images or quantized time-varying video sequences in transform
US20140327737A1 (en) * 2013-05-01 2014-11-06 Raymond John Westwater Method and Apparatus to Perform Optimal Visually-Weighed Quantization of Time-Varying Visual Sequences in Transform Space
JP2015176161A (ja) * 2014-03-12 2015-10-05 株式会社メガチップス 画像処理装置及び画像処理方法
US10397622B2 (en) * 2014-08-22 2019-08-27 Nova Southeastern University Data adaptive compression and data encryption using kronecker products
US10070158B2 (en) * 2014-08-22 2018-09-04 Nova Southeastern University Data adaptive compression and data encryption using kronecker products
US20170257649A1 (en) * 2014-08-22 2017-09-07 Nova Southeastern University Data adaptive compression and data encryption using kronecker products
CN112565769A (zh) * 2020-12-02 2021-03-26 浙江大华技术股份有限公司 块划分方法、帧间预测方法、视频编码方法及相关装置
US12309391B2 (en) 2020-12-02 2025-05-20 Zhejiang Dahua Technology Co., Ltd. Systems and method for inter prediction based on a merge mode

Also Published As

Publication number Publication date
JP4677002B2 (ja) 2011-04-27
JP4601966B2 (ja) 2010-12-22
EP1624700A1 (en) 2006-02-08
JP4602220B2 (ja) 2010-12-22
US20080205517A1 (en) 2008-08-28
JP2008219913A (ja) 2008-09-18
US20080205528A1 (en) 2008-08-28
EP1624699A1 (en) 2006-02-08
US7978767B2 (en) 2011-07-12
US20060029132A1 (en) 2006-02-09
US8345745B2 (en) 2013-01-01
EP1763249A2 (en) 2007-03-14
US7978766B2 (en) 2011-07-12
EP1439706A3 (en) 2005-10-12
EP1971149A2 (en) 2008-09-17
EP1971151A3 (en) 2008-10-08
US20130101026A1 (en) 2013-04-25
CN1758765A (zh) 2006-04-12
JP2008193727A (ja) 2008-08-21
US8902975B2 (en) 2014-12-02
US20060029131A1 (en) 2006-02-09
EP1986438A2 (en) 2008-10-29
JP2008178145A (ja) 2008-07-31
US8014448B2 (en) 2011-09-06
JP4677000B2 (ja) 2011-04-27
JP4676999B2 (ja) 2011-04-27
JP4677001B2 (ja) 2011-04-27
JP4602219B2 (ja) 2010-12-22
EP1988719A3 (en) 2009-09-09
CN1232122C (zh) 2005-12-14
JP2007143181A (ja) 2007-06-07
JP4602360B2 (ja) 2010-12-22
JP2006115523A (ja) 2006-04-27
JP4677003B2 (ja) 2011-04-27
JP2006109496A (ja) 2006-04-20
EP1624698A1 (en) 2006-02-08
JP2008178143A (ja) 2008-07-31
KR20040065406A (ko) 2004-07-22
EP1624697A1 (en) 2006-02-08
EP1624701A1 (en) 2006-02-08
US8340173B2 (en) 2012-12-25
CN1527607A (zh) 2004-09-08
JP2006109497A (ja) 2006-04-20
US20060034371A1 (en) 2006-02-16
JP2008178144A (ja) 2008-07-31
JP2006074824A (ja) 2006-03-16
EP1988719A2 (en) 2008-11-05
CN1758766A (zh) 2006-04-12
JP2006074823A (ja) 2006-03-16
US7970053B2 (en) 2011-06-28
US7970051B2 (en) 2011-06-28
EP1971149A3 (en) 2008-10-08
US20060029130A1 (en) 2006-02-09
EP1763249A3 (en) 2009-09-02
EP1971150A2 (en) 2008-09-17
CN1758764A (zh) 2006-04-12
US20080205516A1 (en) 2008-08-28
KR100584552B1 (ko) 2006-05-30
CN1758762A (zh) 2006-04-12
US20060034372A1 (en) 2006-02-16
EP1439706A2 (en) 2004-07-21
US7970054B2 (en) 2011-06-28
JP4677004B2 (ja) 2011-04-27
US20070104270A1 (en) 2007-05-10
CN1756367A (zh) 2006-04-05
US7970052B2 (en) 2011-06-28
JP4602221B2 (ja) 2010-12-22
JP4602222B2 (ja) 2010-12-22
JP2004222288A (ja) 2004-08-05
EP1971151A2 (en) 2008-09-17
JP2008219912A (ja) 2008-09-18
EP1986438A3 (en) 2009-09-02
US8331440B2 (en) 2012-12-11
JP2006074825A (ja) 2006-03-16
CN1758763A (zh) 2006-04-12
US20060029283A1 (en) 2006-02-09
EP1971150A3 (en) 2008-10-08
EP1624696A1 (en) 2006-02-08

Similar Documents

Publication Publication Date Title
US7978767B2 (en) Method and apparatus for encoding and/or decoding moving pictures
US20060153464A1 (en) Method and apparatus for encoding and decoding moving images using a plurality of modified MF tables, and recording medium storing program for executing the method
KR100677616B1 (ko) 동영상 부호화 및 복호화 방법과 그 장치
KR100622305B1 (ko) 동영상 복호화 방법과 그 장치
KR100584622B1 (ko) 동영상 부호화 및 복호화 방법과 그 장치
KR100622306B1 (ko) 동영상 복호화 방법과 그 장치
KR100622304B1 (ko) 동영상 복호화 방법과 그 장치
KR20050098217A (ko) 동영상 부호화 및 복호화 방법과 그 장치

Legal Events

Date Code Title Description
AS Assignment

Owner name: SAMSUNG ELECTRONICS CO., LTD., KOREA, REPUBLIC OF

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SONG, BYUNG-CHEOL;CHUN, KANG-WOOK;REEL/FRAME:015399/0707

Effective date: 20040517

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION