WO2004063992A1 - Video frame correlation for motion estimation - Google Patents

Video frame correlation for motion estimation Download PDF

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Publication number
WO2004063992A1
WO2004063992A1 PCT/CA2004/000093 CA2004000093W WO2004063992A1 WO 2004063992 A1 WO2004063992 A1 WO 2004063992A1 CA 2004000093 W CA2004000093 W CA 2004000093W WO 2004063992 A1 WO2004063992 A1 WO 2004063992A1
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WO
WIPO (PCT)
Prior art keywords
correlation
search window
pixels
window
frame
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.)
Ceased
Application number
PCT/CA2004/000093
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English (en)
French (fr)
Inventor
Patrick Rault
Zhihua Zeng
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.)
ViXS Systems Inc
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ViXS Systems Inc
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 ViXS Systems Inc filed Critical ViXS Systems Inc
Priority to AT04701876T priority Critical patent/ATE555457T1/de
Priority to EP04701876A priority patent/EP1584069B1/en
Priority to JP2006500441A priority patent/JP2006517069A/ja
Publication of WO2004063992A1 publication Critical patent/WO2004063992A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion

Definitions

  • the present disclosure relates generally to video processing, and more particularly to a method and system of encoding video data.
  • Encoding of digital video data is generally performed in order to compress the amount of data needed to represent a video stream. It is known in the art to encode a frame one set of pixels at a time. For example, each macroblock of a frame can be encoded by comparing the macroblock's pixels to the pixels of other macroblocks of a frame that has been previously displayed, or decoded. Once a set of pixels in the previous frame that corresponds closely to the set of pixels being encoded is found, a motion vector pointing to that set of pixels is identified. Once a motion vector to the set of pixels is identified, any information difference between the two sets of pixels can be quantified and efficiently compressed.
  • Known methods of encoding will correlate the set of pixels being encoded to sets of pixels in the previous frame or a portion of the previous frame until a correlation threshold is met. Once the correlation threshold is met, it is known that a pixel set in a previous frame that corresponds sufficiently close to the pixel set being encoded has been found. Due to the large amount of data associated with video streams, and video frames, the encoding process can be a very time-consuming process. Therefore, a system or method capable of more efficiently encoding pixels sets would be useful.
  • Figure 1 illustrates, in block diagram form, the graphical representation of a reference frame of video data in accordance with the present disclosure
  • Figure 2 illustrates, in flow diagram form, a method in accordance with the present disclosure
  • FIGURE 3 illustrates, in block diagram form, a system for implementing specific embodiments of the present disclosure.
  • a first window is selected in a reference frame of video data.
  • the first window contains one or more pixel sets, each that are to be correlated with a pixel set being encoded to determine a correlation factor.
  • a first threshold value is determined for the first search window.
  • the first threshold value is the value to which correlation factors are compared. For example, if a correlation factor between a specific pixel set of the first search window and the pixel set being encoded meets the first threshold value, a successful match between the two pixel sets has been found, and a corresponding motion vector can be assigned to the pixel set being encoded.
  • a second search window within the first frame is selected.
  • a second threshold value different than the first threshold value is determined for the second search window.
  • the second threshold value will be less stringent than the first threshold value.
  • the correlation factors for the pixel sets of the second search window that are correlated to the pixel set being encoded are compared to the second threshold value.
  • Figure 1 illustrates frames Fl 102 and F2 104.
  • Frame Fl 102 represents a reference frame with respect to the frame F2 104 that is being encoded.
  • Frame F 1 102 is a reference frame in that the pixel data associated with frame F 1 will be available, and used, at the time that pixel sets of frame F2 104 are being encoded or decoded. Therefore, during the encoding process each pixel set, such as a macroblock or a block, of frame F2 104 will be compared against a portion of Frame Fl 102 to determine whether a substantially similar set of pixels resides within Frame Fl 102.
  • a specific embodiment of the present disclosure will be further discussed with reference to the method of Figure 2 and frame data of FIG. 1.
  • a first search window size and location is determined.
  • the search window 111 is defined.
  • the search window 111 represents an area of frame F 1 102 that has one or more pixel sets that will be correlated to macroblock F2/52.
  • F2/52 refers to the macroblock at macroblock location 52 in frame F2 104, which is the macroblock being encoded.
  • the searches are not constrained by specific pixel sets, such as macroblock boundaries. In other words, the pixel sets identified within a search window can reside across encoding pixel set boundaries.
  • the first search window 111 contains a single pixel set to be searched. In other embodiments, multiple pixel sets are contained with the first search window.
  • the location of the first search window is generally be based upon a predicted motion vector. It will be appreciated that there are many method of predicting motion vectors, and how the initial location of the first search window is determined can be determined by a variety of methods.
  • a correlation threshold is set for the first window.
  • a correlation factor is determined. This correlation factor is compared to the correlation threshold of the first window to determine when a successful match between the pixel sets has been found.
  • the correlation threshold for the first window would be set relatively high, compared to other correlation thresholds, because the number of pixels sets within the first window is relatively small. Because of the relatively small number pixel sets anticipated within the first window, a somewhat higher correlation factor can be used without affecting performance.
  • a search window pixel set is determined. With respect to Figure 1 a single search window pixel set may be present. Regardless, one pixel set within the search window will be identified.
  • a correlation factor is determined between the pixel set being encoded and the search window pixel set.
  • the correlation factor can be determined using any of a variety of correlation techniques. Such techniques can be as simple as subtracting one pixel set from the other to determine a difference between the pixel sets. Other techniques can be more complicated. For example, where the pixel set information represents spatial data, the correlation technique can perform a mathematical transform to convert the data to non-spatial pixel set data. For example, sub- sampling techniques and/or techniques that operate on frequency domain data can be used. Furthermore, it will be appreciated, that each application of the step 204, in the loop formed by steps 204-205-211-210, can apply the same correlation technique or different correlation techniques. For example, the first search window location can use a different correlation technique than a subsequent search window.
  • step 205 a determination is made whether or not the correlation factor meets the correlation threshold identified in step 202. If the correlation factor does meet the correlation threshold the flow proceeds to step 206 where a motion vector is used corresponding to the search window pixel set. If at step 205 the correlation factor does not meet the correlation threshold, the flow proceeds to step 211. Note that in an embodiment where the current window is to be the last window searched, the correlation threshold can be set so that it will never be met. This would allow the pixel set with the best correlation factor to be selected at step 221.
  • step 211 a determination is made whether or not more search window pixel sets exist in the current search window. If so, the flow proceeds to step 210, otherwise the flow proceeds to step 209.
  • a next search window pixel set is determined within the current window. Once the next search window pixel set is determined the flow proceeds to step 204; A loop including steps 204, 205, 211, and 210 continues until all of the search window pixel sets within the current window have been correlated to the pixel set being encoded, or until a successful correlation has occurred.
  • step 211 When no more search window pixel sets exist in the current search window the flow proceeds from step 211 to step 209. At step 209, a determination is made whether or not more search windows are to be identified. If not, the flow proceeds from step 209 to step 221 where the method of FIG. 2 selects the best pixel set location and/or terminates without a successful correlation being found. However, if additional search windows are to be identified, the flow proceeds to step 208.
  • a next search window size and location is determined.
  • a search window 112 is the next search window identified.
  • Step 207 a correlation threshold is set for the next search window 112.
  • a new correlation threshold value would be set for the window size 112. Because the window size 112 contains more pixel sets than the search window Ili a less stringent correlation factor will be tolerated. In other words, to avoid a long encode time, a tradeoff in the quality of correlation is allowed.
  • a new search window pixel set is identified. It will be appreciated that where the first search window 111 is a subset of the new search window 112, the correlation factors associated with the pixel sets of the first search window can be maintained, without re-correlating, and compared to the new threshold value. By saving the correlation factors for the first search window only the search window pixel sets that are unique to the second search window 112 would have to be correlated, thereby saving processing time.
  • the steps 204, 205, 211, and 210 will be repeated until either all of the search window pixel sets have been correlated against the pixel set being encoded, or a successful pixel set correlation has occurred.
  • search windows 111, 112, and 113 can each be searched for pixels sets meeting different correlation threshold values.
  • search windows 111, 112, and 113 can each be searched for pixels sets meeting different correlation threshold values.
  • tradeoffs between picture quality and the amount of processing time expected to be potentially spent can be dynamically maintained. It will be appreciated, that this is an advantage over the prior art, which would identify a single window and a single threshold value.
  • Figure 3 illustrates a system in accordance with a specific embodiment of the present disclosure.
  • Figure 3 illustrates a system 300 having a data processor 310, and a memory 320.
  • the data processor 310 accesses the memory 300 to execute program instructions 322 and to manipulate video data 324.
  • the video data 324 would generally include the video frame data of frames Fl 202 and F2 204 of Figure 1.
  • the video processor 310 would generally comprise an instruction execution unit for implementing the instructions.
  • the data processor 310 can include co-processors 312, which can include specific hardware accelerators and/or microcode engines, capable of implementing some or all of the encoding process described herein.
  • the information processor 300 of Figure 3 can be part of a general purpose computer, special purpose computer, or integrated as a portion of a larger system.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Image Analysis (AREA)
PCT/CA2004/000093 2003-01-16 2004-01-14 Video frame correlation for motion estimation Ceased WO2004063992A1 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
AT04701876T ATE555457T1 (de) 2003-01-16 2004-01-14 Videoeinzelbild korrelation zur bewegungsschätzung
EP04701876A EP1584069B1 (en) 2003-01-16 2004-01-14 Video frame correlation for motion estimation
JP2006500441A JP2006517069A (ja) 2003-01-16 2004-01-14 モーションベクトルの予測方法及びシステム

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US10/345,847 US7408989B2 (en) 2003-01-16 2003-01-16 Method of video encoding using windows and system thereof
US10/345,847 2003-01-16

Publications (1)

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WO2004063992A1 true WO2004063992A1 (en) 2004-07-29

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US (1) US7408989B2 (cg-RX-API-DMAC7.html)
EP (1) EP1584069B1 (cg-RX-API-DMAC7.html)
JP (1) JP2006517069A (cg-RX-API-DMAC7.html)
CN (1) CN100359535C (cg-RX-API-DMAC7.html)
AT (1) ATE555457T1 (cg-RX-API-DMAC7.html)
WO (1) WO2004063992A1 (cg-RX-API-DMAC7.html)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100370808C (zh) * 2005-06-13 2008-02-20 北京中星微电子有限公司 一种运动检测方法
US8296662B2 (en) * 2007-02-05 2012-10-23 Brother Kogyo Kabushiki Kaisha Image display device
WO2008137432A2 (en) * 2007-05-01 2008-11-13 Dyyno Sharing of information and formatting information for transmission over a communication network
WO2009026803A1 (en) 2007-08-27 2009-03-05 Yuvad Technologies Co., Ltd. A method for identifying motion video content
US8488835B2 (en) 2008-05-21 2013-07-16 Yuvad Technologies Co., Ltd. System for extracting a fingerprint data from video/audio signals
WO2009140819A1 (en) 2008-05-21 2009-11-26 Yuvad Technologies Co., Ltd. A system for facilitating the search of video content
US8370382B2 (en) 2008-05-21 2013-02-05 Ji Zhang Method for facilitating the search of video content
US8577077B2 (en) 2008-05-22 2013-11-05 Yuvad Technologies Co., Ltd. System for identifying motion video/audio content
US8027565B2 (en) * 2008-05-22 2011-09-27 Ji Zhang Method for identifying motion video/audio content
WO2009140822A1 (en) 2008-05-22 2009-11-26 Yuvad Technologies Co., Ltd. A method for extracting a fingerprint data from video/audio signals
KR101559754B1 (ko) * 2008-11-04 2015-10-13 삼성전자주식회사 노이즈 판별 장치 및 방법
CN101996398B (zh) * 2009-08-12 2012-07-04 睿励科学仪器（上海）有限公司 用于晶圆对准的图像匹配方法及设备
CN102378002B (zh) * 2010-08-25 2016-05-04 无锡中感微电子股份有限公司 动态调整搜索窗的方法及装置、块匹配方法及装置
TW201409994A (zh) * 2012-08-30 2014-03-01 Novatek Microelectronics Corp 立體視訊的編碼方法與編碼裝置
US9984472B2 (en) 2013-06-17 2018-05-29 A9.Com, Inc. Image processing and motion compensation

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0896300A2 (en) * 1997-08-07 1999-02-10 Matsushita Electric Industrial Co., Ltd. Device and method for motion vector detection

Family Cites Families (79)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4866395A (en) * 1988-11-14 1989-09-12 Gte Government Systems Corporation Universal carrier recovery and data detection for digital communication systems
US5115812A (en) * 1988-11-30 1992-05-26 Hitachi, Ltd. Magnetic resonance imaging method for moving object
GB2231227B (en) * 1989-04-27 1993-09-29 Sony Corp Motion dependent video signal processing
GB2248361B (en) * 1990-09-28 1994-06-01 Sony Broadcast & Communication Motion dependent video signal processing
US5093847A (en) * 1990-12-21 1992-03-03 Silicon Systems, Inc. Adaptive phase lock loop
US5696531A (en) * 1991-02-05 1997-12-09 Minolta Camera Kabushiki Kaisha Image display apparatus capable of combining image displayed with high resolution and image displayed with low resolution
SE469866B (sv) * 1991-04-12 1993-09-27 Dv Sweden Ab Metod för estimering av rörelseinnehåll i videosignaler
FR2680619B1 (fr) * 1991-08-21 1993-12-24 Sgs Thomson Microelectronics Sa Predicteur d'image.
US5253056A (en) * 1992-07-02 1993-10-12 At&T Bell Laboratories Spatial/frequency hybrid video coding facilitating the derivatives of variable-resolution images
US5614952A (en) * 1994-10-11 1997-03-25 Hitachi America, Ltd. Digital video decoder for decoding digital high definition and/or digital standard definition television signals
JP3486427B2 (ja) * 1993-01-18 2004-01-13 キヤノン株式会社 制御装置および制御方法
JP3332443B2 (ja) * 1993-01-18 2002-10-07 キヤノン株式会社 情報処理装置および情報処理方法
PT2334083E (pt) * 1993-03-24 2013-09-30 Sony Corp Método para codificar e descodificar vetores de movimento e respetivo dispositivo e método para codificar e descodificar sinais de imagem e respetivo dispositivo
KR970009302B1 (en) * 1993-08-17 1997-06-10 Lg Electronics Inc Block effect reducing apparatus for hdtv
JPH07107484A (ja) * 1993-10-01 1995-04-21 Mitsubishi Electric Corp 画像伝送装置
US5764698A (en) 1993-12-30 1998-06-09 International Business Machines Corporation Method and apparatus for efficient compression of high quality digital audio
JPH07210670A (ja) 1994-01-21 1995-08-11 Fuji Xerox Co Ltd 画像処理装置
US5732391A (en) * 1994-03-09 1998-03-24 Motorola, Inc. Method and apparatus of reducing processing steps in an audio compression system using psychoacoustic parameters
US5940130A (en) * 1994-04-21 1999-08-17 British Telecommunications Public Limited Company Video transcoder with by-pass transfer of extracted motion compensation data
DE4416967A1 (de) * 1994-05-13 1995-11-16 Thomson Brandt Gmbh Verfahren und Vorrichtung zur Transcodierung von Bitströmen mit Videodaten
EP1701552B1 (en) * 1994-06-08 2008-07-30 Matsushita Electric Industrial Co., Ltd. Image conversion apparatus
KR0148154B1 (ko) * 1994-06-15 1998-09-15 김광호 움직임크기에 따른 동영상데이타의 부호화방법 및 장치
US5602589A (en) * 1994-08-19 1997-02-11 Xerox Corporation Video image compression using weighted wavelet hierarchical vector quantization
KR0178231B1 (ko) * 1995-08-10 1999-05-01 배순훈 계층적인 움직임 추정 기법을 이용하는 움직임 벡터 검출 방법 및 장치
US5644361A (en) * 1994-11-30 1997-07-01 National Semiconductor Corporation Subsampled frame storage technique for reduced memory size
US5652749A (en) * 1995-02-03 1997-07-29 International Business Machines Corporation Apparatus and method for segmentation and time synchronization of the transmission of a multiple program multimedia data stream
JPH08275160A (ja) * 1995-03-27 1996-10-18 Internatl Business Mach Corp <Ibm> 離散余弦変換方法
US5559889A (en) * 1995-03-31 1996-09-24 International Business Machines Corporation System and methods for data encryption using public key cryptography
EP0739138A3 (en) 1995-04-19 1997-11-05 AT&T IPM Corp. Method and apparatus for matching compressed video signals to a communications channel
JP3994445B2 (ja) * 1995-12-05 2007-10-17 ソニー株式会社 動きベクトル検出装置及び動きベクトル検出方法
DE19615490A1 (de) * 1996-04-19 1997-10-23 Philips Patentverwaltung Verfahren zur fraktalen Bildkodierung sowie Anordnung zur Durchführung des Verfahrens
GB9608271D0 (en) * 1996-04-22 1996-06-26 Electrocraft Lab Video compession
JP3423835B2 (ja) 1996-05-01 2003-07-07 沖電気工業株式会社 スクランブル付き圧縮符号化装置及びその伸長再生装置
US6141693A (en) * 1996-06-03 2000-10-31 Webtv Networks, Inc. Method and apparatus for extracting digital data from a video stream and using the digital data to configure the video stream for display on a television set
US6222886B1 (en) * 1996-06-24 2001-04-24 Kabushiki Kaisha Toshiba Compression based reduced memory video decoder
US6215821B1 (en) * 1996-08-07 2001-04-10 Lucent Technologies, Inc. Communication system using an intersource coding technique
US5850443A (en) * 1996-08-15 1998-12-15 Entrust Technologies, Ltd. Key management system for mixed-trust environments
FR2752655B1 (fr) * 1996-08-20 1998-09-18 France Telecom Procede et equipement pour affecter a un programme de television deja en acces conditionnel un acces conditionnel complementaire
US6366614B1 (en) * 1996-10-11 2002-04-02 Qualcomm Inc. Adaptive rate control for digital video compression
SE515535C2 (sv) * 1996-10-25 2001-08-27 Ericsson Telefon Ab L M En transkoder
US6480541B1 (en) * 1996-11-27 2002-11-12 Realnetworks, Inc. Method and apparatus for providing scalable pre-compressed digital video with reduced quantization based artifacts
US6005624A (en) * 1996-12-20 1999-12-21 Lsi Logic Corporation System and method for performing motion compensation using a skewed tile storage format for improved efficiency
JP3328532B2 (ja) 1997-01-22 2002-09-24 シャープ株式会社 デジタルデータの符号化方法
JPH10275080A (ja) * 1997-01-24 1998-10-13 Texas Instr Inc <Ti> マイクロプロセッサ
WO1998038798A1 (fr) 1997-02-26 1998-09-03 Mitsubishi Denki Kabushiki Kaisha Dispositif, systeme et procede pour distribuer des donnees video
KR100234264B1 (ko) * 1997-04-15 1999-12-15 윤종용 타겟윈도우 이동을 통한 블록 매칭방법
US6014694A (en) * 1997-06-26 2000-01-11 Citrix Systems, Inc. System for adaptive video/audio transport over a network
US6144402A (en) * 1997-07-08 2000-11-07 Microtune, Inc. Internet transaction acceleration
JP2001501072A (ja) * 1997-07-22 2001-01-23 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ ビデオシーケンス間の切換方法及び対応する装置
JP4016227B2 (ja) * 1998-01-07 2007-12-05 ソニー株式会社 画像処理装置および方法、並びに記録媒体
US6310919B1 (en) 1998-05-07 2001-10-30 Sarnoff Corporation Method and apparatus for adaptively scaling motion vector information in an information stream decoder
US6385248B1 (en) * 1998-05-12 2002-05-07 Hitachi America Ltd. Methods and apparatus for processing luminance and chrominance image data
DE69924922T2 (de) * 1998-06-15 2006-12-21 Matsushita Electric Industrial Co., Ltd., Kadoma Audiokodierungsmethode und Audiokodierungsvorrichtung
US6584509B2 (en) * 1998-06-23 2003-06-24 Intel Corporation Recognizing audio and video streams over PPP links in the absence of an announcement protocol
BR9815964A (pt) * 1998-07-27 2001-06-05 Webtv Networks Inc Processo de acesso a computador remoto, sistema servidor de computação remota, processo de transmissão de vìdeo, gerador de monitor de multi-cabeças, processos para gerar um fluxo de vìdeo compactado, de estimativa de movimento para compactação de fluxo de imagem, para mudar a detecção para compactação de fluxo de imagem, para gerar um catálogo, e de navegação na internet, programa de software para projeto de página www, software modificado por compactação para realizar pelo menos uma função e para gerar pelo menos um vìdeo, processos de controle de vìdeo, de processamento de imagem, de compactação de vìdeo, de compactação de fluxo de vìdeo assìncrona, para armazenar a taxa de enquadramento, para personalizar publicidade, de publicidade, de acúmulo de débito, de tv interativa, para alocação de largura de faixa para um fluxo de vìdeo compactado, para alocação de largura de faixa para transmitir vìdeo em um rede de cabo, para gerar uma pluralidade de vìdeos, para transmitir uma pluralidade de canais de vìdeo compactados similares, de multiplexação estatìstica de bits, para gerar uma pluralidade de fluxos de imagem não-relacionados, para gerar uma pluralidade de fluxos de áudio não-relacionados, e para produzir diferentes representações de vìdeo em uma pluralidade de locais remotos
US6167084A (en) * 1998-08-27 2000-12-26 Motorola, Inc. Dynamic bit allocation for statistical multiplexing of compressed and uncompressed digital video signals
US6219358B1 (en) * 1998-09-11 2001-04-17 Scientific-Atlanta, Inc. Adaptive rate control for insertion of data into arbitrary bit rate data streams
US6259741B1 (en) * 1999-02-18 2001-07-10 General Instrument Corporation Method of architecture for converting MPEG-2 4:2:2-profile bitstreams into main-profile bitstreams
US6625211B1 (en) 1999-02-25 2003-09-23 Matsushita Electric Industrial Co., Ltd. Method and apparatus for transforming moving picture coding system
JP3677165B2 (ja) * 1999-04-23 2005-07-27 株式会社東芝 動画像符号化装置および動画像符号化方法
US6263022B1 (en) * 1999-07-06 2001-07-17 Philips Electronics North America Corp. System and method for fine granular scalable video with selective quality enhancement
DE19946267C2 (de) 1999-09-27 2002-09-26 Harman Becker Automotive Sys Digitales Transcodiersystem
FR2800222B1 (fr) * 1999-10-26 2001-11-23 Mitsubishi Electric Inf Tech Procede de mise en conformite a un contrat de trafic d'un flux de paquets d'un reseau de transport de paquets a longueur variable
US6714202B2 (en) * 1999-12-02 2004-03-30 Canon Kabushiki Kaisha Method for encoding animation in an image file
US6300973B1 (en) * 2000-01-13 2001-10-09 Meir Feder Method and system for multimedia communication control
US6647061B1 (en) 2000-06-09 2003-11-11 General Instrument Corporation Video size conversion and transcoding from MPEG-2 to MPEG-4
US6438168B2 (en) * 2000-06-27 2002-08-20 Bamboo Media Casting, Inc. Bandwidth scaling of a compressed video stream
JP2002051340A (ja) * 2000-08-01 2002-02-15 Matsushita Electric Ind Co Ltd 動画像圧縮装置及びその方法
FR2813742A1 (fr) * 2000-09-05 2002-03-08 Koninkl Philips Electronics Nv Methode de conversion de flux binaires
JP2002135784A (ja) * 2000-10-19 2002-05-10 Matsushita Electric Ind Co Ltd ビデオ符号化方法
US6748020B1 (en) * 2000-10-25 2004-06-08 General Instrument Corporation Transcoder-multiplexer (transmux) software architecture
US6608792B2 (en) * 2000-11-09 2003-08-19 Texas Instruments Incorporated Method and apparatus for storing data in an integrated circuit
JP4517495B2 (ja) * 2000-11-10 2010-08-04 ソニー株式会社 画像情報変換装置及び画像情報変換方法並びに符号化装置及び符号化方法
KR100433516B1 (ko) * 2000-12-08 2004-05-31 삼성전자주식회사 트랜스코딩 방법
CN1156168C (zh) * 2001-01-12 2004-06-30 北京航空航天大学 快速视频运动估计方法
US6549561B2 (en) * 2001-02-21 2003-04-15 Magis Networks, Inc. OFDM pilot tone tracking for wireless LAN
US8107524B2 (en) 2001-03-30 2012-01-31 Vixs Systems, Inc. Adaptive bandwidth footprint matching for multiple compressed video streams in a fixed bandwidth network
US6993647B2 (en) * 2001-08-10 2006-01-31 Hewlett-Packard Development Company, L.P. Method and apparatus for booting an electronic device using a plurality of agent records and agent codes
US7403564B2 (en) * 2001-11-21 2008-07-22 Vixs Systems, Inc. System and method for multiple channel video transcoding

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0896300A2 (en) * 1997-08-07 1999-02-10 Matsushita Electric Industrial Co., Ltd. Device and method for motion vector detection

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
LIANG-WEI LEE: "DYNAMIC SEARCH-WINDOW ADJUSTMENT AND INTERLACED SEARCH FOR BLOCK- MATCHING ALGORITHM", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, IEEE INC. NEW YORK, US, vol. 3, no. 1, 1 February 1993 (1993-02-01), pages 85 - 87, XP000334581, ISSN: 1051-8215 *
OH H-S ET AL.: "Real-Time Imaging", vol. 6, October 2000, ACADEMIC PRESS LIMITED, article "Block matching algorithm based on an adaptive reduction of the search area for motion estimation", pages: 407 - 414
OH H-S ET AL: "Block-matching algorithm based on an adaptive reduction of the search area for motion estimation", REAL-TIME IMAGING, ACADEMIC PRESS LIMITED, GB, vol. 6, no. 5, October 2000 (2000-10-01), pages 407 - 414, XP004419498, ISSN: 1077-2014 *

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ATE555457T1 (de) 2012-05-15
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