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    • 12. 发明申请
    • VIEW SYNTHESIS WITH HEURISTIC VIEW MERGING
    • 查看合成与视觉合并
    • WO2010024925A1
    • 2010-03-04
    • PCT/US2009/004905
    • 2009-08-28
    • THOMSON LICENSINGNI, ZefengTIAN, DongBHAGAVATHY, SitaramLLACH, Joan
    • NI, ZefengTIAN, DongBHAGAVATHY, SitaramLLACH, Joan
    • H04N13/00
    • H04N13/128H04N13/111H04N2213/003H04N2213/005
    • Several implementations relate to view synthesis with heuristic view merging for 3D Video (3DV) applications. According to one aspect, a first candidate pixel from a first warped reference view and a second candidate pixel from a second warped reference view are assessed based on at least one of a backward synthesis process to assess a quality of the first and second candidate pixels, a hole distribution around the first and second candidate pixels, or on an amount of energy around the first and second candidate pixels above a specified frequency. The assessing occurs as part of merging at least the first and second warped reference views into a signal synthesized view. Based on the assessing, a result is determined for a given target pixel in the single synthesized view. The result may be determining a value for the given target pixel, or marking the given target pixel as a hole.
    • 几个实现涉及用于3D视频(3DV)应用的启发式视图合并的视图合成。 根据一个方面,基于评估第一和第二候选像素的质量的后向合成处理中的至少一个来评估来自第一翘曲参考视图的第一候选像素和来自第二翘曲参考视图的第二候选像素, 围绕第一和第二候选像素的孔分布,或者围绕指定频率以上的第一和第二候选像素周围的能量量。 评估是将至少第一和第二翘曲参考视图合并为信号合成视图的一部分。 基于评估,在单个合成视图中为给定目标像素确定结果。 结果可能是确定给定目标像素的值,或将给定的目标像素标记为孔。
    • 18. 发明申请
    • AUTOMATIC PARAMETER ESTIMATION FOR ADAPTIVE PIXEL-BASED FILTERING
    • 基于自适应像素滤波的自动参数估计
    • WO2008042029A2
    • 2008-04-10
    • PCT/US2007/014890
    • 2007-06-25
    • THOMSON LICENSINGBHAGAVATHY, SitaramLLACH, Joan
    • BHAGAVATHY, SitaramLLACH, Joan
    • G06T5/002G06T5/20G06T5/50G06T2207/10016G06T2207/20182
    • One particular automatic parameter estimation method and apparatus estimates low level filtering parameters from one or more user controlled high-level filtering parameters. The high level filtering parameters are strength and quality, where strength indicates how much noise reduction will be performed, and quality indicates a tolerance which controls the balance between filtering uniformity and loss of detail. The low level filtering parameters that can be estimated include the spatial neighborhood and/or temporal neighborhood size from which pixel candidates are selected, and thresholds used to verify the 'goodness' of the spatially or temporally predicted candidate pixels. More generally, a criterion for filtering digital image data is accessed (902), and a value is determined (904) for a parameter for use in filtering digital image data, the value being determined based on whether the value results in the criterion being satisfied for at least a portion of a digital image.
    • 一种特定的自动参数估计方法和装置根据一个或多个用户控制的高级滤波参数来估计低级滤波参数。 高级别的过滤参数是强度和质量,其中强度指示将执行多少噪声降低,并且质量指示控制过滤均匀性和细节丢失之间平衡的容差。 可以估计的低级滤波参数包括从其中选择像素候选的空间邻域和/或时间邻域大小,以及用于验证空间或时间预测的候选像素的“良好”的阈值。 更一般地,访问(902)用于过滤数字图像数据的标准,并且针对用于过滤数字图像数据的参数确定(904)值,该值基于该值是否导致标准被满足来确定 至少为数字图像的一部分。
    • 20. 发明申请
    • DETECTION OF FIELD LINES IN SPORTS VIDEOS
    • 运动场景线路检测
    • WO2010083021A1
    • 2010-07-22
    • PCT/US2010/000032
    • 2010-01-07
    • THOMSON LICENSINGJACOB, Mithun, GeorgeBHAGAVATHY, SitaramBARCON-PALAU, JesusLLACH, Joan
    • JACOB, Mithun, GeorgeBHAGAVATHY, SitaramBARCON-PALAU, JesusLLACH, Joan
    • H04N7/18
    • G06T7/13G06T7/181G06T2207/10016G06T2207/20016G06T2207/20061G06T2207/20164G06T2207/30228
    • A method for accurately and robustly detecting field lines in an image, such as a frame of a sports video, includes: convolving the image with a Laplacian operator to generate a Laplacian image emphasizing likely line pixels; removing non-playfield related pixels from the Laplacian image, including pixels lying outside of the playfield and pixels representing players within the playfield; contrast stretching the resultant Laplacian image; iteratively applying a Hough transform to the contrast-stretched Laplacian image to detect lines, wherein each iteration results in the detection of one or more field lines which are removed prior to the next iteration, thus reducing the complexity of the next iteration; identifying fragments along each field line detected; filling gaps in the field lines, wherein the gaps are analyzed so that only those gaps that are not likely due to occlusion by players or other non-line objects are filled; and providing a binary mask indicating the pixels representing field lines.
    • 一种用于准确且鲁棒地检测诸如运动视频的帧的图像中的场线的方法包括:使用拉普拉斯算子来卷积图像以生成强调可能线像素的拉普拉斯图像; 从拉普拉斯图像中去除非播放场相关像素,包括位于播放区域外的像素和表示播放区域内播放器的像素; 对比拉伸拉普拉斯图像; 迭代地将霍夫变换应用于对比拉伸拉普拉斯图像以检测线,其中每次迭代导致在下一次迭代之前被去除的一个或多个场线的检测,从而降低下次迭代的复杂度; 识别沿着每个场线的片段; 填充场线中的间隙,其中分析间隙,使得仅填充由于玩家或其他非线对象的遮挡而不可能的那些间隙; 并提供指示表示场线的像素的二进制掩码。