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1. 发明申请

WO2007084062A8 IMAGE PROCESSING 审中-公开
标题翻译：图像处理
公开(公告)号：WO2007084062A8
公开(公告)日：2008-01-17
申请号：PCT/SE2007000053
申请日：2007-01-22
申请人： ERICSSON TELEFON AB L M , AKENINE-MOELLER TOMAS , MUNKBERG JACOB , CLARBERG PETRIK , HASSELGREN JON , STROEM JACOB
发明人： AKENINE-MOELLER TOMAS , MUNKBERG JACOB , CLARBERG PETRIK , HASSELGREN JON , STROEM JACOB
IPC分类号： H04N7/26 , G06T9/00
CPC分类号： G06T9/00 , H04N19/103 , H04N19/176 , H04N19/90
摘要： First (710) and (720) second codewords are determined, based on first feature vector components of the image elements (610) in an image block (600), as representations of a first (10) and second (12) component value. Third (730) and fourth (740) codewords are determined, based on second vector components, as representations of a third (20) and fourth (22) component value. First N1 and second N2 resolution numbers are selected based on the relation of a distribution of the first vector components and a distribution of the second vector components. N1 additional component values are generated based on the first (10) and second (12) component values and N2 additional component values are generated based on the third (20) and fourth (22) component values. Component indices indicative of the generated component values (750, 760) are then provided for the different image elements (610).
摘要翻译：基于图像块（600）中的图像元素（610）的第一特征向量分量来确定第一（710）和（720）第二码字，作为第一（10）和第二（12）分量值的表示。基于第二矢量分量，确定第三（730）和第四（740）码字作为第三（20）和第四（22）分量值的表示。基于第一矢量分量的分布和第二矢量分量的分布的关系来选择第一N1和第二N2分辨率数。基于第一（10）和第二（12）分量值产生N1个附加分量值，并且基于第三（20）和第四（22）分量值产生N2个附加分量值。然后为不同的图像元素（610）提供指示所生成的分量值（750,760）的分量指数。

2. 发明申请

WO2007084062A3 IMAGE PROCESSING 审中-公开
标题翻译：图像处理
公开(公告)号：WO2007084062A3
公开(公告)日：2007-09-13
申请号：PCT/SE2007000053
申请日：2007-01-22
申请人： ERICSSON TELEFON AB L M , AKENINE-MOELLER TOMAS , MUNKBERG JACOB , CLARBERG PETRIK , HASSELGREN JON , STROEM JACOB
发明人： AKENINE-MOELLER TOMAS , MUNKBERG JACOB , CLARBERG PETRIK , HASSELGREN JON , STROEM JACOB
IPC分类号： H04N7/26 , G06T9/00
CPC分类号： G06T9/00 , H04N19/103 , H04N19/176 , H04N19/90
摘要： First (710) and (720) second codewords are determined, based on first feature vector components of the image elements (610) in an image block (600), as representations of a first (10) and second (12) component value. Third (730) and fourth (740) codewords are determined, based on second vector components, as representations of a third (20) and fourth (22) component value. First N1 and second N2 resolution numbers are selected based on the relation of a distribution of the first vector components and a distribution of the second vector components. N1 additional component values are generated based on the first (10) and second (12) component values and N2 additional component values are generated based on the third (20) and fourth (22) component values. Component indices indicative of the generated component values (750, 760) are then provided for the different image elements (610).
摘要翻译：基于图像块（600）中的图像元素（610）的第一特征向量分量来确定第一（710）和（720）第二码字，作为第一（10）和第二（12）分量值的表示。基于第二矢量分量，确定第三（730）和第四（740）码字作为第三（20）和第四（22）分量值的表示。基于第一矢量分量的分布和第二矢量分量的分布的关系来选择第一N1和第二N2分辨率数。基于第一（10）和第二（12）分量值产生N1个附加分量值，并且基于第三（20）和第四（22）分量值产生N2个附加分量值。然后为不同的图像元素（610）提供指示所生成的分量值（750,760）的分量指数。

3. 发明申请

WO2010048093A3 GRAPHICS PROCESSING USING CULLING ON GROUPS OF VERTICES 审中-公开
标题翻译：使用变量组的Culling进行图形处理
公开(公告)号：WO2010048093A3
公开(公告)日：2010-07-22
申请号：PCT/US2009061183
申请日：2009-10-19
申请人： INTEL CORP , HASSELGREN JON , MUNKBERG JACOB , CLARBERG PETRIK , AKENINE-MOELLER TOMAS , MIETTINEN VILLE
发明人： HASSELGREN JON , MUNKBERG JACOB , CLARBERG PETRIK , AKENINE-MOELLER TOMAS , MIETTINEN VILLE
IPC分类号： G06T1/00 , G06T1/20
CPC分类号： G06T15/40 , G06T11/40
摘要： A first representation of a group of vertices may be received and a second representation of said group of vertices may be determined based on said first representation. A first set of instructions may be executed on said second representation of the group of vertices for providing a third representation of said group of vertices. The first set of instructions is associated with vertex position determination. The third representation of the group of vertices is subjected to a culling process.
摘要翻译：可以接收一组顶点的第一表示，并且可以基于所述第一表示来确定所述顶点组的第二表示。第一组指令可以在顶点组的所述第二表示上执行以提供所述顶点组的第三表示。第一组指令与顶点位置确定相关联。顶点组的第三个表示经过剔除过程。

4. 发明申请

WO2009093956A8 METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IMPROVED GRAPHICS PERFORMANCE 审中-公开
标题翻译：用于改进图形性能的方法，装置和计算机程序产品
公开(公告)号：WO2009093956A8
公开(公告)日：2010-09-10
申请号：PCT/SE2009000022
申请日：2009-01-23
申请人： INTEL CORP , HASSELGREN JON , MUNKBERG JACOB , CLARBERG PETRIK , AKENINE-MOELLER TOMAS
发明人： HASSELGREN JON , MUNKBERG JACOB , CLARBERG PETRIK , AKENINE-MOELLER TOMAS
IPC分类号： G06T15/40
CPC分类号： G06T15/405 , G06T1/60 , G06T15/005 , G06T15/40 , G06T15/80 , G06T2200/24
摘要： A method for improving performance of generation of digitally represented graphics. The method comprises: receiving a first representation of a base primitive; providing a set of instructions associated with vertex position determination; executing said retrieved set of instructions on said first representation of said base primitive using bounded arithmetic for providing a second representation of said base primitive, and subjecting said second representation of said base primitive to a culling process. A corresponding apparatus and computer program product are also presented.
摘要翻译：一种用于提高数字代表图形生成性能的方法。该方法包括：接收基本原语的第一表示; 提供与顶点位置确定相关联的一组指令; 在所述基本原语的所述第一表示上使用有界运算来执行所述检索的指令集，以提供所述基本基元的第二表示，以及对所述基本基元的所述第二表示进行剔除处理。还提出了相应的装置和计算机程序产品。

5. 发明专利

IN807DEN2015A Image Processing 未知
公开(公告)号：IN807DEN2015A
公开(公告)日：2015-07-10
申请号：IN807DEN2015
申请日：2015-01-31
申请人： ERICSSON TELEFON AB L M
发明人： AKENINE-MÖLLER TOMAS , MUNKBERG JACOB , CLARBERG PETRIK , HASSELGREN JON , STRÖM JACOB
IPC分类号： G06K9/62
摘要： First (710) and (720) second codewords are determined, based on first feature vector components of the image elements (610) in an image block (600), as representations of a first (10) and second (12) component value. Third (730) and fourth (740) codewords are determined, based on second vector components, as representations of a third (20) and fourth (22) component value. First N1 and second N2 resolution numbers are selected based on the relation of a distribution of the first vector components and a distribution of the second vector components. N1 additional component values are generated based on the first (10) and second (12) component values and N2 additional component values are generated based on the third (20) and fourth (22) component values. Component indices indicative of the generated component values (750, 760) are then provided for the different image elements (610).

6. 发明专利

CA2573911C FEATURE BLOCK COMPRESSION/DECOMPRESSION 未知
公开(公告)号：CA2573911C
公开(公告)日：2014-04-08
申请号：CA2573911
申请日：2007-01-12
申请人： ERICSSON TELEFON AB L M
发明人： AKENINE-MOELLER TOMAS , HASSELGREN JON , CLARBERG PETRIK , MUNKBERG JACOB
IPC分类号： G06T9/00
摘要： A compressor for compressing a block of feature vectors representing a feature associated with image elements, includes means (20, 22) for determining the distribution of the feature vectors, means (20, 24, 26, 28) for transforming each point pattern in a predetermined set of point patterns to fit the determined distribution and a selector (30) for selecting a transformed point pattern that best fits the determined distribution. Furthermore, an encoder (32) represents the block of feature vectors by an identifier identifying the selected point pattern in the set of point patterns, parameters representing the transformation associated with the selected point pattern, and an index for each feature vector representing the nearest point in the transformed selected point pattern. (Fig. 10)

7. 发明专利

CA2573911A1 FEATURE BLOCK COMPRESSION/DECOMPRESSION 未知
公开(公告)号：CA2573911A1
公开(公告)日：2008-07-12
申请号：CA2573911
申请日：2007-01-12
申请人： ERICSSON TELEFON AB L M
发明人： AKENINE-MOELLER TOMAS , CLARBERG PETRIK , HASSELGREN JON , MUNKBERG JACOB
IPC分类号： G06T9/00
摘要： A compressor for compressing a block of feature vectors representing a feature associated with image elements, includes means (20, 22) for determining the distribution of the feature vectors, means (20, 24, 26, 28) for transforming each point pattern in a predetermined set of point patterns to fit the determined distribution and a selector (30) for selecting a transformed point pattern that best fits the determined distribution. Furthermore, an encoder (32) represents the block of feature vectors by an identifier identifying the selected point pattern in the set of point patterns, parameters representing the transformation associated with the selected point pattern, and an index for each feature vector representing the nearest point in the transformed selected point pattern. (Fig. 10)

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