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    • 2. 发明公开
    • Half pel motion estimation method for B pictures
    • Halbpel-BewegungsschätzungsmethodefürB-Bilder
    • EP0735769A2
    • 1996-10-02
    • EP96102036.9
    • 1996-02-13
    • International Business Machines Corporation
    • Ngai, Agnes YeeSvec, Ronald Steven
    • H04N7/26H04N7/36H04N7/50
    • H04N19/523H04N19/577
    • Disclosed is a method of forming a bidirectionally coded picture, i.e., a B frame, from two reference pictures, e.g. I or P frame pictures. The method utilizes a single memory fetch of each reference picture, and interpolation of the estimated motion of each picture. This is accomplished by identifying a full pixel closest match from three full pixel boundary searches, calculating half pixel reference picture data therefrom, interpolating the half pixels to form bidirectionally coded pictures, and finding the closest match at the half pixel boundary. The intermediate results are stored in an 18 x 18 x 11 bit buffer holding a 7 bit partial sum for each pixel, said partial sum formed by adding the six most significant bits of corresponding I and P frame pixels. In this buffer four bits of each word in the buffer are the two Least Significant Bits of the corresponding I and P frame pixels.
    • 公开了一种从两个参考图像(例如,B帧)形成双向编码图像,即B帧的方法。 我或P帧图片。 该方法利用每个参考图像的单个存储器获取,以及每个图像的估计运动的插值。 这是通过从三个全像素边界搜索中识别完整像素最接近的匹配来实现的,从其中计算半像素参考图像数据,内插半像素以形成双向编码图像,并且在半像素边界处找到最接近的匹配。 中间结果存储在一个18×18×11比特缓冲器中,每个像素保持7位部分和,所述部分和通过相加I和P帧像素的六个最高有效位相加形成。 在该缓冲器中,缓冲器中每个字的四位是对应的I和P帧像素的两个最低有效位。
    • 4. 发明公开
    • System and method for compression of digital images using motion estimation
    • 系统和Verfahren zur digitalen Bildkompression mitBewegungsschätzung
    • EP0790580A2
    • 1997-08-20
    • EP97300913.7
    • 1997-02-13
    • INTERNATIONAL BUSINESS MACHINES CORPORATION
    • Butter, Adrian StephenStein, Charles JohnSvec, Ronald Steven
    • G06T9/00
    • H04N19/86H04N19/105H04N19/112H04N19/137H04N19/139H04N19/146H04N19/149H04N19/152H04N19/159H04N19/172H04N19/176H04N19/196H04N19/197H04N19/503H04N19/51H04N19/527H04N19/61
    • Abstract A method of and apparatus for identifying a Dual Prime motion estimation best match and generating motion vectors pertaining thereto for inter-picture video compression in a motion picture having images of F1 and F2 parities. The Dual Prime method of motion estimation described herein includes a method of generating motion vectors. The motion vectors point from a macroblock in a current field to a macroblock in a past field for inter-picture video compression in a motion picture having images of F1 and F2 parities. The first step in the method is defining a macroblock in a parity field of the current picture. Next, the preceding field of the same or opposite parity is searched to find a first best match macroblock in the preceding field. Once a best match macroblock is found, a vector is formed from the current macroblock in the current parity field to the first best match macroblock in the preceding parity field. This vector is scaled so that it refers to a second dual prime macroblock in the opposite parity field, that is the parity field of opposite parity with respect to the first best match macroblock which defines the center of a dual prime search window. Then, the average of the first best match macroblock and the set of second dual prime macroblocks in the dual prime search window is taken and the search window is searched to determine the best match dual prime macroblock. The search is typically conducted at half pixel locations inside a four square pixel dual prime search window. The appropriate dual prime motion vector and differential motion vector (dmv) are formed. These are motion vectors which point to both the first best match macroblock and the best match dual prime macroblock.
    • 摘要用于识别双重素质运动估计的方法和装置在具有F1和F2奇偶校验的图像的运动图像中最佳匹配并产生用于图像间视频压缩的运动矢量。 本文描述的双重运动估计方法包括产生运动矢量的方法。 在具有F1和F2奇偶校验的图像的运动图像中,运动矢量从当前场中的宏块指向用于画面间视频压缩的过去场中的宏块。 该方法的第一步是定义当前图像的奇偶校验字段中的宏块。 接下来,搜索相同或相反奇偶校验的前一个字段以在前一字段中找到第一最佳匹配宏块。 一旦找到了最佳匹配宏块,则从当前奇偶校验字段中的当前宏块到先前奇偶校验字段中的第一最佳匹配宏块形成向量。 该向量被缩放,使得其指向相对奇偶校验字段中的第二双优先宏块,即相对于定义双重搜索窗口的中心的第一最佳匹配宏块的相对奇偶校验的奇偶校验字段。 然后,获取双重搜索窗口中的第一最佳匹配宏块和第二双优先宏块的平均值,并搜索搜索窗口以确定最佳匹配双优先宏块。 搜索通常在四平方像素双重搜索窗口内的半个像素位置进行。 形成适当的双质量运动矢量和微分运动矢量(dmv)。 这些是指向第一最佳匹配宏块和最佳匹配双优先宏块的运动矢量。