KR970025173A - Quantization Method in Object-Centered Coding - Google Patents

Quantization Method in Object-Centered Coding Download PDF

Info

Publication number
KR970025173A
KR970025173A KR1019950037923A KR19950037923A KR970025173A KR 970025173 A KR970025173 A KR 970025173A KR 1019950037923 A KR1019950037923 A KR 1019950037923A KR 19950037923 A KR19950037923 A KR 19950037923A KR 970025173 A KR970025173 A KR 970025173A
Authority
KR
South Korea
Prior art keywords
quantization
size
region
quantization interval
qindex
Prior art date
Application number
KR1019950037923A
Other languages
Korean (ko)
Other versions
KR100493854B1 (en
Inventor
문주희
이상희
박광훈
유국렬
이진학
김재균
Original Assignee
김주용
현대전자산업 주식회사
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 김주용, 현대전자산업 주식회사 filed Critical 김주용
Priority to KR1019950037923A priority Critical patent/KR100493854B1/en
Publication of KR970025173A publication Critical patent/KR970025173A/en
Application granted granted Critical
Publication of KR100493854B1 publication Critical patent/KR100493854B1/en

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
    • H04N19/10—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
    • H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference

Abstract

본 발명은 물체중심 부호화등에서 영상내에서 임의의 형태를 지닌 물체를 부호화하는 알고리즘을 사용하는 시스템에 적용코자 하는 것으로, 물체중심 부호화에서 신호정보를 부호화할 때 물체의 특성에 따라 구분된 영역들인 배경, 드러난 배경, 움직임 보상 가능영역, 움직임 보상 불가능영역에 각각 다른 양자화 크기를 적용하여 부호화하고, 그때의 양자화 크기는 전송버퍼의 크기에 의해 정해진 양자화 기준값에 따라 정해진 양자화 간격크기를 적용토록 하여 영역별 양자화를 함으로써 화질이 개선되고 전송데이타를 줄일 수 있도록 함을 특징으로 하는 물체중심 부호화에서의 양자화 방법에 관한 것이다.The present invention is intended to be applied to a system using an algorithm for encoding an object having an arbitrary shape in an image, for example, in object-centric encoding. In this case, the quantization size is applied to the exposed background, the motion compensable region, and the motion compensable region, respectively. The present invention relates to a quantization method in object-oriented coding, characterized by improving image quality and reducing transmission data by quantization.

Description

물체중심 부호화에서의 양자화 방법Quantization Method in Object-Centered Coding

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음As this is a public information case, the full text was not included.

제2도는 양자화 기준값과 각 영역별 양자화 간격 크기와의 관계를 나타내는 그래프,2 is a graph showing the relationship between the quantization reference value and the quantization interval size of each region;

제3도는 양자화 기준값과 각 영역별 양자화 간격 크기와의 관계를 나타내는 테이블 예시도,3 is a table illustrating a relationship between a quantization reference value and a quantization interval size for each region;

제4도는 영상 크기 또는 전송속도와 가중치와의 관계를 나타내는 테이블 예시도이다.4 is a table illustrating a relationship between an image size or a transmission speed and a weight.

Claims (8)

물체중심 부호화에서, 신호정보를 부호화할때 물체의 특성에 따라 양자화 간격을 다르게 조절하는 것을 특징으로 하는 물체중심 부호화에서의 양자화 방법.In the object center coding, when the signal information is encoded, the quantization method in the object center coding characterized in that the quantization interval is adjusted differently according to the characteristics of the object. 제1항에 있어서, 배경, 드러난 배경, 움직임 보상가능영역, 움직임 보상 불가능영역에 따라 양자화 크기를 조절하여 신호정보를 부호화하고, 그 정보를 버퍼에 전송하는 것을 특징으로 하는 물체중심 부호화에서의 양자화 방법.2. The quantization according to claim 1, wherein signal information is encoded by adjusting a quantization size according to a background, an exposed background, a motion compensable region, and a motion compensable region, and transmitting the information to a buffer. Way. 제2항에 있어서, 전송버퍼의 크기에 따라 양자화 기준값을 선택하고, 선택된 기준값에는 정해준 양자화 간격크기를 적용하는 것을 특징으로 하는 물체중심 부호화에서의 양자화 방법.The quantization method of claim 2, wherein the quantization reference value is selected according to the size of the transmission buffer, and the quantization interval size determined is applied to the selected reference value. 제2항에 있어서, 움직임 보상 불가능영역의 양자화 간격크기(QMF)는 다른 영역의 양자화 간격크기(QMC,QUB, QNF)에 비해서 양자화 기준값(Qindex)에 따른 양자화 간격크기의 변화가 작고, 배경의 양자화 간격 크기(QBK)는 다른 영역의 양자화 간격의 크기에 비해서 양자화 기준값에 따른 양자화 간격 크기의 변화가 크도록 조절하는 것을 특징으로 하는 물체중심 부호화에서의 양자화 방법.The quantization interval size (Q MF ) of the non-motion compensation region has a change in quantization interval size according to the quantization reference value (Qindex) compared to the quantization interval sizes (Q MC , Q UB , Q NF ) of another region. A small quantization interval size (Q BK ) of the background quantization method in the object-oriented coding, characterized in that the change in the quantization interval size according to the quantization reference value is larger than the size of the quantization interval of the other region. 제4항에 있어서, 각 영역별로 양자화 간격 크기를·조절하는 방범으로 하기식과 같은 수식을 이용하는 것을 특징으로 하는 물체중심 부호화에서의 양자화 방법.5. The quantization method according to claim 4, wherein the following equation is used as a crime prevention method for adjusting the quantization interval size for each region. 하기식 :Formula: QMF= a # Qindex AQ MF = a # Qindex A QMC= b # Qindex + BQ MC = b # Qindex + B QUB= c # Qindex + CQ UB = c # Qindex + C QBK= d # Qindex + DQ BK = d # Qindex + D (여기서 a, b, c, d는 Qindex에 대한 양자화크기의 변화비율을 나타내고, A, B, C, D는 양자화 크기를 보정하는 파라메타를 나타낸다.)(Where a, b, c, and d represent the rate of change of the quantization size with respect to Qindex, and A, B, C, and D represent parameters for correcting the quantization size.) 제4항에 있어서, 움직임 보상 불가능 영역의 양자화 간격크기 QMF, 움직임 물체의 양자화 간격크기 QMC, 드러난 배경의 양자화 간격크기 QUB, 배경의 양자화 간격크기 QBK사이의 관계를 선형 혹은 비선형으로 정하도록 하는 것을 특징으로 하는 물체중심 부호화에서의 양자화 방법.5. The method of claim 4, wherein the relationship between the quantization interval size Q MF of the non-motion compensation region, the quantization interval size Q MC of the moving object, the quantization interval size Q UB of the exposed background, and the quantization interval size Q BK of the background is linear or nonlinear. A quantization method in object-oriented coding, characterized in that. 제6항에 있어서, 버퍼크기에 따라 양자화 관계를 정하고, 양자화 단계별로 양자화 간격 크기를 다르게 함을 특징으로 하는 물체중심 부호화에서의 양자화 방법.7. The quantization method of claim 6, wherein the quantization relationship is determined according to the buffer size, and the quantization interval size is changed for each quantization step. 제1항에 있어서, 각 영역별 양자화 간격 크기는, 처리되는 영상의 크기와 전송속도에 따른 가중치를 사용하는 것을 특징으로 하는 물체중심 부호화에서의 양자화 방법.The quantization method of claim 1, wherein the quantization interval size of each region uses weights according to the size of the processed image and the transmission speed.
KR1019950037923A 1995-10-26 1995-10-26 Quantization Method in Object-Centered Encoding KR100493854B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1019950037923A KR100493854B1 (en) 1995-10-26 1995-10-26 Quantization Method in Object-Centered Encoding

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1019950037923A KR100493854B1 (en) 1995-10-26 1995-10-26 Quantization Method in Object-Centered Encoding

Publications (2)

Publication Number Publication Date
KR970025173A true KR970025173A (en) 1997-05-30
KR100493854B1 KR100493854B1 (en) 2005-08-04

Family

ID=37303999

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1019950037923A KR100493854B1 (en) 1995-10-26 1995-10-26 Quantization Method in Object-Centered Encoding

Country Status (1)

Country Link
KR (1) KR100493854B1 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20000023278A (en) * 1998-09-18 2000-04-25 구자홍 Method for selecting intra-frame quantizer for video compression
KR100624404B1 (en) * 2002-01-05 2006-09-18 삼성전자주식회사 Adaptive coding method and apparatus considering human visual characteristics
KR100643453B1 (en) * 2001-11-17 2006-11-10 엘지전자 주식회사 Bit rate control based on object

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2940304B2 (en) * 1992-06-15 1999-08-25 松下電器産業株式会社 High efficiency coding apparatus, high efficiency coding method, and decoding apparatus for high efficiency coding apparatus
KR950005653B1 (en) * 1992-10-31 1995-05-27 삼성전자주식회사 Data quantization rate control method and apparatus
KR950011201B1 (en) * 1992-11-24 1995-09-29 삼성전자주식회사 Buffer control method and apparatus of video telephone
KR0157465B1 (en) * 1993-12-16 1998-11-16 김광호 Quantization level decision method and device according to image characteristic
KR960009732A (en) * 1994-08-31 1996-03-22 배순훈 Contour encoding device
KR0170937B1 (en) * 1994-12-14 1999-03-20 배순훈 Image data encoder

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20000023278A (en) * 1998-09-18 2000-04-25 구자홍 Method for selecting intra-frame quantizer for video compression
KR100643453B1 (en) * 2001-11-17 2006-11-10 엘지전자 주식회사 Bit rate control based on object
KR100624404B1 (en) * 2002-01-05 2006-09-18 삼성전자주식회사 Adaptive coding method and apparatus considering human visual characteristics

Also Published As

Publication number Publication date
KR100493854B1 (en) 2005-08-04

Similar Documents

Publication Publication Date Title
CA1251276A (en) Method and arrangement of coding digital image signals utilizing interframe correlation
CA2176591A1 (en) System and method for facsimile data transmission
JPS62230281A (en) Picture transmission system
CA2146048A1 (en) Adaptive Video Coder with Dynamic Bit Allocation
CA2093801A1 (en) Signal coding
JPH0879748A (en) Quantization step size controller using neuro-network
EP0935396A3 (en) Video coding method and apparatus
Xuan et al. Method for detecting all-zero DCT coefficients ahead of discrete cosine transformation and quantisation
JP2780864B2 (en) Image processing system
KR930024519A (en) Motion Estimation Method and Apparatus Considering Variable Coding
KR950035401A (en) Variable length code and method of differential weight vector value using improved differential weight code table and its apparatus
KR970025173A (en) Quantization Method in Object-Centered Coding
SE9503950D0 (en) Method of motion estimation
GB2380351A (en) Encoder with means to adjust a quantisation step size
JP2825821B2 (en) Video encoding processing method
JPH0681308B2 (en) Quantization noise suppression method in interframe coding
JPH09200778A (en) Method and device for encoding video signal
Cai et al. Variable step search algorithm for motion estimation
JPH0324889A (en) Inter-frame encoder
JPH10224803A (en) Motion adaptive nonlinear quantizer and motion compensated inter-frame coder using the same
KR950016360A (en) Video encoding device
JPS62195989A (en) Encoding and decoding device between frames
KR960006605A (en) Adaptive Quantization Method
KR970057961A (en) Motion Vector Compression Method of Image Encoder
KR930017445A (en) Digital Data Compression Restoration Processor in Digital Processing System and Its Processing Method

Legal Events

Date Code Title Description
A201 Request for examination
N231 Notification of change of applicant
E902 Notification of reason for refusal
AMND Amendment
E601 Decision to refuse application
J201 Request for trial against refusal decision
AMND Amendment
B601 Maintenance of original decision after re-examination before a trial
J301 Trial decision

Free format text: TRIAL DECISION FOR APPEAL AGAINST DECISION TO DECLINE REFUSAL REQUESTED 20030627

Effective date: 20050331

Free format text: TRIAL NUMBER: 2003101002487; TRIAL DECISION FOR APPEAL AGAINST DECISION TO DECLINE REFUSAL REQUESTED 20030627

Effective date: 20050331

S901 Examination by remand of revocation
GRNO Decision to grant (after opposition)
GRNT Written decision to grant
FPAY Annual fee payment

Payment date: 20100423

Year of fee payment: 6

LAPS Lapse due to unpaid annual fee