JPH0440193A - Motion vector detection system for tv system conversion system - Google Patents
Motion vector detection system for tv system conversion systemInfo
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- JPH0440193A JPH0440193A JP2146204A JP14620490A JPH0440193A JP H0440193 A JPH0440193 A JP H0440193A JP 2146204 A JP2146204 A JP 2146204A JP 14620490 A JP14620490 A JP 14620490A JP H0440193 A JPH0440193 A JP H0440193A
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- 239000013598 vector Substances 0.000 title claims abstract description 106
- 238000001514 detection method Methods 0.000 title claims description 18
- 238000006243 chemical reaction Methods 0.000 title claims description 9
- 238000000034 method Methods 0.000 claims description 14
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
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Abstract
Description
【発明の詳細な説明】
（産業上の利用分野）
本発明は、ディジタル化したＴＶ（テレビジョン）信号
を用いたＴＶ方式変換装置における画像の動き情報即ち
動きベクトルを検出する方式に関するものである。DETAILED DESCRIPTION OF THE INVENTION (Industrial Application Field) The present invention relates to a method for detecting image motion information, that is, motion vector, in a TV format conversion device using digitized TV (television) signals. .
（従来の技術）
前述の動きベクトルを用いて動き補正を行なう技術は、
ＴＶ信号の高能率符号化におけるフレーム間符号化効率
を向上させる際や、ＴＶ方式変換（ＮＴＳＣ方式とＰＡ
Ｌ方式間の変換など）におけるフィールド数の変換によ
る動きの不連続性を軽減する際に用いられている。(Prior art) The technique of performing motion compensation using the above-mentioned motion vector is as follows.
When improving interframe coding efficiency in high-efficiency coding of TV signals, and when converting TV formats (NTSC and PA
It is used to reduce discontinuity in motion due to conversion of the number of fields (such as conversion between L formats).
この動きベクトルの検出に関しては、ＴＶ信号をｍ画素
Ｘｎライン（ｍ、ｎは整数）のブロックに細分化した後
ブロック毎に動きベクトルを検出する方法があり、特開
昭５５−１６２６８３号公報、１６２６８４号公報など
に見られるパクーンマッチング法と特開昭６０−１５８
７８ Ｇ号公報などに見られる反復勾配法がよく知られ
ている。Regarding detection of this motion vector, there is a method of subdividing the TV signal into blocks of m pixels x n lines (m and n are integers) and then detecting a motion vector for each block, as disclosed in Japanese Patent Application Laid-Open No. 162683/1983. Pakun matching method and Japanese Patent Application Laid-Open No. 162684, etc.
The iterative gradient method, which can be seen in Publication No. 78G, is well known.
第３図に従来の動きベクトル検出回路の例としてＴＶ方
式変換装置に用いられているものを示す。FIG. 3 shows an example of a conventional motion vector detection circuit used in a TV format conversion device.
（参考文献としては１９８９年テレビジョン学会全国大
会予稿集、２０−５、Ｐ５０１〜５０２）この動きベク
トルの検出は画素を８画素ｘ８ラインのブロックに細分
化し、ブロック毎に行なっている。同図の入力端子４１
からは現フィールドの輝度信号、４２からは前フィール
ドの輝度信号を入力し、二次元ＬＰＦ （ローパスフィ
ルタ）にてノイズの除去と高域成分の除去を行なう。そ
の除去された信号は初期偏位ベクトル選択回路４６と偏
位ベクトル検出回路４７に入力される。４５は動きベク
トルメモリであり、検出した動きベクトルを記憶する。(As a reference, Proceedings of the 1989 Television Society National Conference, 20-5, pp. 501-502) This motion vector detection is performed for each block by subdividing the pixels into blocks of 8 pixels x 8 lines. Input terminal 41 in the same figure
The luminance signal of the current field is inputted from 42, and the luminance signal of the previous field is inputted from 42, and a two-dimensional LPF (low pass filter) removes noise and high-frequency components. The removed signal is input to an initial deviation vector selection circuit 46 and a deviation vector detection circuit 47. A motion vector memory 45 stores detected motion vectors.
初期偏位ベクトル選択回路４６は動きベクトルメモリ回
路４５から被検出ブロックの近傍のブロックでの気構出
動きベクトルを数種類読み出し、この中から最適なもの
を選び出す。その最適の判定は以下のように行なう。即
ち、各々の動きベクトル分だけブロックの座標を偏位さ
せ、そのフィールド間差分値の絶対値を求め、それをブ
ロック内で累計した値が最も小さくなるブロックを与え
る動きベクトルを最適と判定する。そのようにして選出
された動きベクトルは偏位ベクトル検出回路４７に与え
られ、該検出回路４７では初期偏位ベクトル分ブロック
の座標を偏位した後、反復勾配法を用いてベクトルの検
出を行なう。この偏位ベクトルと前記の初期偏位ベクト
ルとを加算回路４８で加算してか求める動きベクトルと
する。そしてその動きベクトルを動きベクトルメモリ回
路４５に記憶させる。The initial deviation vector selection circuit 46 reads out several types of eccentric motion vectors for blocks in the vicinity of the detected block from the motion vector memory circuit 45, and selects the optimal one from among them. The optimum determination is made as follows. That is, the coordinates of the block are shifted by the amount of each motion vector, the absolute value of the inter-field difference value is determined, and the motion vector that gives the block with the smallest accumulated value within the block is determined to be optimal. The motion vector selected in this way is given to a deviation vector detection circuit 47, which detects the vector by using an iterative gradient method after deviation of the coordinates of the block by the initial deviation vector. . This deviation vector and the above-mentioned initial deviation vector are added in an adder circuit 48 to obtain a motion vector. Then, the motion vector is stored in the motion vector memory circuit 45.
（発明が解決しようとする課題）
以上述べた従来の方式では何れにしろ輝度信号のみを用
いて動きベクトルを検出しているので、輝度信号のレベ
ル変化、動きがなくても色差信号にレベル変化や動きが
ある場合、その動きベクトルは検出されない。従って動
きベクトルを用いた動き内挿画像に画像歪みが生じる。(Problems to be Solved by the Invention) In any case, the conventional methods described above detect motion vectors using only the luminance signal, so even if there is no movement, the level of the luminance signal will change, and the level of the color difference signal will change even if there is no movement. If there is any movement, the motion vector will not be detected. Therefore, image distortion occurs in motion interpolated images using motion vectors.
例えば第４図に示すような画像の場合、つまり輝度信号
は一定レベルの信号であるのに対し、色差信号（図では
Ｒ−Ｙ信号）が図のようにウィンド信号が動いている場
合は動きベクトルは０となるのでこの動きは検出されな
い。For example, in the case of an image as shown in Figure 4, the luminance signal is a constant level signal, whereas the color difference signal (RY signal in the figure) is a moving window signal as shown in the figure. Since the vector becomes 0, this movement is not detected.
本発明はこの不十分な動きベクトルの検出を解決し、動
きに忠実な動きベクトルを検出できる方式を提供するも
のである。The present invention solves this problem of insufficient motion vector detection and provides a method that can detect motion vectors that are faithful to motion.
（発明を解決するための手段）
本発明は前記課題を解決するため、動きベクトルの検出
を輝度信号と色差信号とでそれぞれ別個に行ない、輝度
信号の画像勾配演算結果が閾値以上であれば輝度信号で
検出した動きベクトルを、求める動きベクトルとし、前
記画像勾配演算結果が閾値未満の場合は色差信号で検出
した動きベクトルを、求める動きベクトルとするように
した方式である。また、色差信号が複数種、一般には２
種（Ｒ−Ｙ、Ｂ−Ｙ）ある場合は、前記閾値未満で色差
信号の方が選ばれる際、その２種のうち大きい方を選ぶ
。(Means for Solving the Invention) In order to solve the above-mentioned problems, the present invention performs motion vector detection separately for a luminance signal and a color difference signal, and if the image gradient calculation result of the luminance signal is equal to or greater than a threshold, the luminance In this method, a motion vector detected from a signal is used as the desired motion vector, and when the image gradient calculation result is less than a threshold value, a motion vector detected from a color difference signal is used as the desired motion vector. In addition, there are multiple types of color difference signals, generally two types.
If there are two types (R-Y, B-Y), when the color difference signal is selected below the threshold value, the larger one of the two types is selected.
（作用）
本発明は以上のような方式としたため、画像の動きに忠
実な動きベクトルを検出することができる。即ち、輝度
信号のレベル変化、動きがな（て色差信号にレベル変化
や動きがある場合でも、その動きベクトルが検出される
ので画像歪みが十分に解消される。(Operation) Since the present invention employs the method described above, a motion vector that is faithful to the motion of an image can be detected. That is, even if there is no level change or movement in the luminance signal (and there is a level change or movement in the color difference signal), the motion vector is detected, so image distortion can be sufficiently eliminated.
（実施例）
第１図に本発明の第１の実施例の動きベクトル回路図を
示す。本図はＴＶ方式変換装置における動きベクトル検
出として、ＴＶ信号を従来の技術の項で記述したのと同
様８画素×８ラインのブロックに細分化した後ブロック
毎に検出する方式である。(Embodiment) FIG. 1 shows a motion vector circuit diagram of a first embodiment of the present invention. This figure shows a method for detecting motion vectors in a TV format conversion apparatus, in which a TV signal is subdivided into blocks of 8 pixels x 8 lines and then detected for each block, as described in the section of the prior art.
１は現フィールドの輝度信号、２は前フィールドの輝度
信号、３は現フィールドの色差信号Ｒ−Ｙ、４は前フィ
ールドのＲ−Ｙ、５は現フィールドのＢ−Ｙ、６は前フ
ィールドのＢ−Ｙであり、これらの信号を入力とする。1 is the luminance signal of the current field, 2 is the luminance signal of the previous field, 3 is the color difference signal R-Y of the current field, 4 is RY of the previous field, 5 is B-Y of the current field, 6 is the luminance signal of the previous field B-Y, and these signals are input.
その入力された信号はそれぞれ二次元ＬＰＦ （ローパ
スフィルタ）７〜１２でノイズの除去と画像の高域成分
の低減を行ない、それぞれ対応した初期偏位ベクトル選
択回路１４〜１６、勾配性演算回路１７〜１９に入力す
る。また、現フィールドの輝度信号ｌの二次元ＬＰＦ７
の出力は画像勾配演算回路２７にも入力する。The input signals are subjected to two-dimensional LPF (low-pass filters) 7 to 12 to remove noise and reduce high-frequency components of the image, and to corresponding initial deviation vector selection circuits 14 to 16 and gradient calculation circuit 17. Enter ~19. In addition, the two-dimensional LPF 7 of the luminance signal l of the current field
The output is also input to the image gradient calculation circuit 27.
１３は動きベクトルメモリであり従来の技術の項で記載
したと同様検出された動きベクトル４０を記憶する。A motion vector memory 13 stores detected motion vectors 40 in the same manner as described in the prior art section.
初期偏位ベクトル選択回路１４〜１６も従来の技術の項
で述べた機能と同様の回路で、前記メモリ１３から被検
出ブロック近傍のブロックでの気構出動きベクトルを数
種読み出し、その中から最適なものを選び出す。偏位ベ
クトル検出回路１７〜１９も従来のものと同様、反復勾
配法で演算する機能の回路である。この両回路１４と１
７．１５と１８．１６と１９のそれぞれの出力を加算回
路２０〜２２で加算して動きベクトル２３〜２５を得る
。このうち色差信号で検出された動きベクトル２４（Ｒ
−Ｙの分）と２５（Ｂ−Ｙの分）はその動きベクトルの
大きい方を選択する動きベクトル比較回路２６に入力す
る。選択された動きベクトル２９は動きベクトル選択回
路２８に入力されるーまた動きベクトル選択回路２８に
は、輝度信号で検出された動きベクトル２３と前述の画
像勾配演算回路２７の出力３０が入力される。因みにそ
の画像勾配演算回路２７での演算は次の式に従って求め
る。The initial deviation vector selection circuits 14 to 16 also have the same function as that described in the prior art section, and read out several kinds of motion vectors for blocks near the detected block from the memory 13 and select one of them. Choose the best one. The deflection vector detection circuits 17 to 19 are also circuits having a function of calculating using the iterative gradient method, similar to the conventional ones. Both circuits 14 and 1
The respective outputs of 7.15, 18.16 and 19 are added by adder circuits 20-22 to obtain motion vectors 23-25. Among these, motion vector 24 (R
-Y) and 25 (B-Y) are input to a motion vector comparison circuit 26 which selects the larger motion vector. The selected motion vector 29 is input to a motion vector selection circuit 28 - the motion vector 23 detected from the luminance signal and the output 30 of the image gradient calculation circuit 27 described above are also input to the motion vector selection circuit 28 . Incidentally, the calculation in the image gradient calculation circuit 27 is calculated according to the following formula.
Δ）（＝ （Ａ、、、、−Ａ、、、、）／２ΔＹ＝（Ａ
、、や１、−Ａゎ、、−、’） ／２Ａゎ、はｎ画素、
ｍラインの画像信号レベルを示す。そしてこの△Ｘ、Δ
Ｙが閾値以上かそうでないか（未満）を判定する。その
結果３０を出力し動きベクトル選択回路２８に与えるの
である。Δ)(= (A, , , -A, , , )/2ΔY=(A
,,ya1,-Aゎ,,-,')/2Aゎ is n pixels,
The image signal level of m lines is shown. And this △X, Δ
It is determined whether Y is greater than or equal to the threshold (less than). The result 30 is output and given to the motion vector selection circuit 28.
動きベクトル選択回路２８では、その人力３０が前記閾
値以上との情報ならば輝度信号での動きベクトルを求め
る動きベクトルとして出力する。In the motion vector selection circuit 28, if the information indicates that the human power 30 is greater than or equal to the threshold value, the motion vector in the luminance signal is output as a motion vector to be determined.
（４０）また閾値未満であれば色差信号で検出選択され
た動きベクトル２９を出力する。（４０）この出力４０
は同時に動きベクトルメモリ１３に記憶する。(40) If it is less than the threshold, the motion vector 29 detected and selected using the color difference signal is output. (40) This output 40
are simultaneously stored in the motion vector memory 13.
以上の説明の通り、輝度信号と色差信号両方の動きベク
トルをそれぞれ別個に検出して、画像勾配演算の結果に
よって選択するようにしたので、画像の動きに極めて忠
実な動きベクトルを検出できる。As explained above, since the motion vectors of both the luminance signal and the color difference signal are detected separately and selected based on the result of image gradient calculation, it is possible to detect motion vectors that are extremely faithful to the motion of the image.
第２図は本発明の第２の実施例である。同図の記号１−
１２．１３．１４．１７は第１図と同じものであるので
説明は省略する。第１の実施例と同様６つの信号１〜６
は人力されると対応した二？’Ｋ ７ＣＬ Ｐ Ｆ ７
〜１２でノイズと高域成分の除去がされる。そしてその
出力のうち現フィールドの分の信号は対応した画像勾配
演算回路３１〜３３に入力する。つまり第１の実施例と
異なるのはまずここで前記信号を受けて画像勾配を演算
する。演算は第１の実施例で説明したのと同じである。FIG. 2 shows a second embodiment of the invention. Symbol 1- in the same figure
12, 13, 14, and 17 are the same as those shown in FIG. 1, so their explanation will be omitted. Six signals 1 to 6 as in the first embodiment
Is it compatible with human power? 'K 7CL P F 7
~12, noise and high frequency components are removed. Of the outputs, the signals for the current field are input to the corresponding image gradient calculation circuits 31-33. That is, the difference from the first embodiment is that the signal is first received here and the image gradient is calculated. The calculations are the same as those described in the first embodiment.
その演算結果は信号選択回路３４に入力する。なおこの
人力は現フィールドの信号であることは説明は要しない
であろう。また信号選択回路３４には前記二次元ＬＰＦ
７〜１２の出力も入力される。The calculation result is input to the signal selection circuit 34. It is unnecessary to explain that this human power is a signal from the current field. Further, the signal selection circuit 34 includes the two-dimensional LPF.
Outputs 7 to 12 are also input.
従ってこの信号選択回路３４で画像勾配演算回路３１〜
３３からの入力、即ちその演算結果により信号選択をす
る。選択方法は現フィールドの輝度信号ｌの演算結果（
３１の出力）が閾値以上であれば輝度信号を選択し、そ
うでなければ色差信号側（３２，３３）の大きい方の信
号を選ぶ。ただし色差信号側の演算結果（３２，３３）
がともに閾値以下のときは輝度信号の方（３１）が閾値
未満でも輝度信号を選択する。Therefore, in this signal selection circuit 34, the image gradient calculation circuits 31-
The signal is selected based on the input from 33, that is, the result of the calculation. The selection method is based on the calculation result of the luminance signal l of the current field (
If the output (output of 31) is equal to or greater than the threshold value, the luminance signal is selected, and if not, the larger signal on the color difference signal side (32, 33) is selected. However, the calculation results on the color difference signal side (32, 33)
When both are below the threshold, the luminance signal is selected even if the luminance signal (31) is less than the threshold.
３５は１ブロツクのシフト回路であり、初期−位ベクト
ル選択回路１４の演算時間が１ブロツクとして信号を１
ブロツク遅延させるものである。Reference numeral 35 designates a one-block shift circuit, in which the calculation time of the initial-order vector selection circuit 14 is one block, and the signal is converted into one block.
This is a block delay.
以上のようにしてまず信号を選択してから、初期偏位ベ
クトル選択回路１４と偏位ベクトル検出回路１７に入力
してその出力を加算回路２０で加算して動きベクトル２
３を得るようにしたものである。第１の実施例より回路
は簡単になる。After first selecting a signal as described above, the signal is inputted to the initial deviation vector selection circuit 14 and the deviation vector detection circuit 17, and the outputs thereof are added by the addition circuit 20 to obtain a motion vector.
3. The circuit is simpler than the first embodiment.
第１、第２の実施例ともフィールドを基準とした動きベ
クトル検出で示したが、これをフレームに置き換えても
実施できることは説明を要しないであろう。また色差信
号もＲ−Ｙ、Ｂ−Ｙで説明し、だが、無論１．ＱでもＵ
、Ｖでも同じようにできるし、色差信号が１種の場合で
も当然同じようにできる。後１者の場合、色差信号の中
での選択がないだけ、より簡単な回路となることは論を
待たないであろう。Although both the first and second embodiments have been shown using motion vector detection based on fields, it is unnecessary to explain that this can also be implemented by replacing this with frames. Color difference signals are also explained using R-Y and B-Y, but of course 1. Q but U
, V can be used in the same way, and even when there is only one type of color difference signal, the same can be done. In the latter case, it is obvious that the circuit is simpler because there is no selection among the color difference signals.
（発明の効果）
以上説明したように、本発明では輝度信号と色差信号の
両方での動きベクトルを検出する方式としたので、輝度
信号のレベル変化、動きがな（、色差信号のレベル変化
、動きがある場合、その動きベクトルを検出できるので
、画像の動きに極めて忠実な動きベクトルが検出できる
と言える。従って、動きベクトルを用いたＴＶ方式変換
装置では極めて画像歪みの少ない画像を得られる。(Effects of the Invention) As explained above, the present invention employs a method of detecting motion vectors for both the luminance signal and the color difference signal. If there is movement, the motion vector can be detected, so it can be said that a motion vector that is extremely faithful to the movement of the image can be detected.Therefore, a TV system conversion device using motion vectors can obtain an image with extremely little image distortion.
第１図は本発明の第１の実施例の動きベクトル検出回路
、第２図は本発明の第２の実施例の動きベクトル検出回
路、第３図は従来の動きベクトル検出回路、第４図は色
差信号のみの動き説明図である。
１−−−−−一現フイールドの輝度信号、２−−−−−
一前フイールドの輝度信号、３−−−−−一現フイール
ドの色差信号（Ｒ−Ｙ）４−−−−−一前フイールドの
色差信号（Ｒ−Ｙ）５−−−−−一現フイールドの色差
信号（Ｂ−Ｙ）６−−−−−−前フィールドの色差信号
（Ｂ−Ｙ）７〜１２−−−−−一二次元ＬＰＦ。
１３−−−−−−−−−一動きベクトルメモリ、１４〜
１６−−−−−−初期偏位ベクトル選択回路、■７〜１
９−−−−−−勾配法演算回路、２０〜２２−−−−−
一加算回路、
２６−−−−−−−−−−動きベクトル比較回路、２７
．３１〜３３−−−一画像勾配演算回路、２８−一一一
一一一一一一動きベクトル選択回路、３４−−−−−−
−−−一信号選択回路、３５−−−−−−−−−−１ブ
ロックシフト回路、４０−−−−−−−−−一動きベク
トル信号。
４１：現フィールドの輝度信号
４２°前フイールドの輝度信号
４３．４４：二次元ＬＰＦ
４５：動きベクトルメモリ
４６：初期偏位ベクトル選択回路
４７：偏位ベクトル検出回路
４８：加算回路
従来の動きベクトル検出回路
第３図
ＴＶ面画
像差信号のみの動き説明図
第４図FIG. 1 shows a motion vector detection circuit according to a first embodiment of the present invention, FIG. 2 shows a motion vector detection circuit according to a second embodiment of the present invention, FIG. 3 shows a conventional motion vector detection circuit, and FIG. is a motion explanatory diagram of only color difference signals. 1 ------- Luminance signal of one current field, 2 -------
Luminance signal of previous field, 3 ---- Color difference signal of current field (R-Y) 4 ---- Color difference signal of previous field (R-Y) 5 ------- Current field Color difference signal (B-Y) 6 of previous field Color difference signal (B-Y) 7 to 12 ---- One-two-dimensional LPF. 13------One motion vector memory, 14~
16-----Initial deviation vector selection circuit, ■7-1
9------Gradient method calculation circuit, 20-22------
1 addition circuit, 26--Motion vector comparison circuit, 27
．． 31 to 33---1 image gradient calculation circuit, 28-11111111 motion vector selection circuit, 34------
--- One signal selection circuit, 35 --- One block shift circuit, 40 --- One motion vector signal. 41: Luminance signal of current field 42° Luminance signal of previous field 43. 44: Two-dimensional LPF 45: Motion vector memory 46: Initial deviation vector selection circuit 47: Displacement vector detection circuit 48: Addition circuit Conventional motion vector detection Circuit diagram 3 Diagram explaining the movement of only the TV screen image difference signal Figure 4
Claims (2)
信号を用いて動きベクトルを検出する方式において、輝
度信号と色差信号とで動きベクトルの検出をそれぞれ別
個に行なうとともに、輝度信号の画像勾配演算を行ない
、該演算結果が閾値以上の場合は求める動きベクトルを
輝度信号を用いて検出した動きベクトルとし、前記演算
結果が閾値未満の場合は求める動きベクトルを色差信号
を用いて検出した動きベクトルとすることを特徴とする
ＴＶ方式変換装置の動きベクトル検出方式。(1) In a method of detecting motion vectors using two or more fields of digital TV signals, motion vectors are detected separately for luminance signals and color difference signals, and image gradient calculations for luminance signals are performed. If the calculation result is above the threshold value, the motion vector to be sought is set as the motion vector detected using the luminance signal, and if the calculation result is less than the threshold value, the motion vector to be sought is set to the motion vector detected using the color difference signal. A motion vector detection method for a TV format conversion device, characterized in that:
を色差信号を用いて検出した動きベクトルとするとき、
該複数種の各色差信号を用いて検出した動きベクトルの
うち大きいものを、求める動きベクトルとすることを特
徴とする請求項１記載のＴＶ方式変換装置の動きベクト
ル検出方式。(2) When there are multiple types of color difference signals, when the motion vector to be sought is the motion vector detected using the color difference signals,
2. The motion vector detection method for a TV format conversion apparatus according to claim 1, wherein a larger motion vector among the motion vectors detected using each of the plurality of types of color difference signals is used as the motion vector to be determined.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP14620490A JP2837925B2 (en) | 1990-06-06 | 1990-06-06 | Motion vector detection method of TV converter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP14620490A JP2837925B2 (en) | 1990-06-06 | 1990-06-06 | Motion vector detection method of TV converter |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH0440193A true JPH0440193A (en) | 1992-02-10 |
| JP2837925B2 JP2837925B2 (en) | 1998-12-16 |
Family
ID=15402479
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP14620490A Expired - Lifetime JP2837925B2 (en) | 1990-06-06 | 1990-06-06 | Motion vector detection method of TV converter |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2837925B2 (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05252501A (en) * | 1992-03-04 | 1993-09-28 | Mitsubishi Electric Corp | Method and device for moving vector extraction |
| US5767898A (en) * | 1994-06-23 | 1998-06-16 | Sanyo Electric Co., Ltd. | Three-dimensional image coding by merger of left and right images |
| US5963673A (en) * | 1995-12-20 | 1999-10-05 | Sanyo Electric Co., Ltd. | Method and apparatus for adaptively selecting a coding mode for video encoding |
| JP5804138B1 (en) * | 2014-05-21 | 2015-11-04 | カシオ計算機株式会社 | Detection apparatus, detection method, and program |
-
1990
- 1990-06-06 JP JP14620490A patent/JP2837925B2/en not_active Expired - Lifetime
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05252501A (en) * | 1992-03-04 | 1993-09-28 | Mitsubishi Electric Corp | Method and device for moving vector extraction |
| US5767898A (en) * | 1994-06-23 | 1998-06-16 | Sanyo Electric Co., Ltd. | Three-dimensional image coding by merger of left and right images |
| US6075556A (en) * | 1994-06-23 | 2000-06-13 | Sanyo Electric Co., Ltd. | Three-dimensional image coding by merger of left and right images |
| US5963673A (en) * | 1995-12-20 | 1999-10-05 | Sanyo Electric Co., Ltd. | Method and apparatus for adaptively selecting a coding mode for video encoding |
| JP5804138B1 (en) * | 2014-05-21 | 2015-11-04 | カシオ計算機株式会社 | Detection apparatus, detection method, and program |
| JP2015220725A (en) * | 2014-05-21 | 2015-12-07 | カシオ計算機株式会社 | Detection device, detection method, and program |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2837925B2 (en) | 1998-12-16 |
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