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    • 3. 发明授权
    • Methods and apparatus for robust video stabilization
    • 稳健视频稳定的方法和装置
    • US08929610B2
    • 2015-01-06
    • US13368279
    • 2012-02-07
    • Hailin JinAseem O. AgarwalaJue Wang
    • Hailin JinAseem O. AgarwalaJue Wang
    • G06K9/00G06K9/36H04N7/18H04N5/225G06T7/00G06T7/20
    • G06T7/33G06T7/246G06T2207/10016G06T2207/20028G06T2207/30241
    • Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.
    • 稳健视频稳定的方法和装置。 视频稳定技术将特征跟踪技术应用于输入视频序列以产生特征轨迹。 该技术应用视频分割技术将输入视频序列分解为分解窗口和转换窗口。 该技术顺序地平滑每个窗口中的轨迹。 对于分解窗口,可以使用基于子空间的优化技术。 对于转换窗口,可以使用使用相似度运动模型的直接跟踪优化技术。 该技术然后确定并应用翘曲模型到视频序列中的帧。 在至少一些实施例中,翘曲模型可以包括内容保留翘曲模型,单应性模型,相似度变换模型和全帧翻译模型。 然后可以根据裁剪技术裁剪翘曲的框架。
    • 6. 发明申请
    • Content Aware Slideshows
    • 内容意识幻灯片
    • US20130124951A1
    • 2013-05-16
    • US12324345
    • 2008-11-26
    • Eli ShechtmanShai BagonAseem O. Agarwala
    • Eli ShechtmanShai BagonAseem O. Agarwala
    • G06F17/00G06K9/36G06K9/00
    • G06T7/38G06K9/00718G06T3/0006G06T3/0056G06T13/80G06T2207/20036
    • A method, system, and computer-readable storage medium for performing content based transitions between images. Image content within each image of a set of images are analyzed to determine at least one respective characteristic metric for each image. A respective transition score for each pair of at least a subset of the images is determined with respect to each transition effect of a plurality of transition effects based on the at least one respective characteristic metric for each image. Transition effects implementing transitions between successive images for a sequence of the images are determined based on the transition scores. An indication of the determined transition effects is stored. The determined transition effects are useable to present the images in a slideshow or other image sequence presentation.
    • 一种用于在图像之间执行基于内容的转换的方法,系统和计算机可读存储介质。 分析一组图像的每个图像内的图像内容以确定每个图像的至少一个相应的特征度量。 基于每个图像的至少一个相应的特征度量,针对每个图像的至少一个子集对于多个过渡效应的每个过渡效应来确定每对图像的相应过渡分数。 基于转换分数来确定针对图像序列的连续图像之间的转换的转换效果。 存储确定的过渡效果的指示。 确定的过渡效果可用于以幻灯片或其他图像序列呈现来呈现图像。
    • 7. 发明申请
    • Method and Apparatus for Local Region Selection
    • 本地选区方法与装置
    • US20130121565A1
    • 2013-05-16
    • US12474030
    • 2009-05-28
    • Jue WangAseem O. Agarwala
    • Jue WangAseem O. Agarwala
    • G06K9/62
    • G06K9/6215G06T7/11G06T7/143G06T2207/10016G06T2207/20081G06T2207/20096
    • Methods and apparatus for local region selection are described. A scribble-based, edge-aware local region selection tool or module that implements a local region selection method may allow a user to draw scribbles or strokes indicating different classes of content. The method may train Gaussian mixture models (GMMs) for each class from the user input. The GMMs may be applied to the image to generate a probability map for each class. Post-processing may be optionally performed to remove structural outliers. The probability maps may be smoothed using a geodesic smoothing technique. A geodesic smoothing technique may be applied that considers other classes when smoothing each class to limit or prevent propagation of a region corresponding to the class into other regions corresponding to other classes. The smoothed probability maps may be combined to generate a final region selection mask.
    • 描述了局部区域选择的方法和装置。 实现局部区域选择方法的基于涂鸦的边缘感知局部区域选择工具或模块可以允许用户绘制指示不同类别的内容的涂鸦或笔画。 该方法可以从用户输入为每个类训练高斯混合模型(GMM)。 可以将GMM应用于图像以生成每个类的概率图。 可以可选地执行后处理以去除结构异常值。 可以使用测地平滑技术来平滑概率图。 可以应用测地平滑技术,当平滑每个类以限制或防止对应于该类的区域的传播到对应于其他类的其他区域时考虑其他类。 可以组合平滑的概率图以产生最终区域选择掩模。
    • 9. 发明授权
    • Robust video stabilization
    • 强大的视频稳定
    • US08885880B2
    • 2014-11-11
    • US13367994
    • 2012-02-07
    • Hailin JinAseem O. AgarwalaJue Wang
    • Hailin JinAseem O. AgarwalaJue Wang
    • G06K9/00G06K9/36G06K9/46H04N5/225G06T7/00G06T7/20
    • G06T7/33G06T7/246G06T2207/10016G06T2207/20028G06T2207/30241
    • Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.
    • 稳健视频稳定的方法和装置。 视频稳定技术将特征跟踪技术应用于输入视频序列以产生特征轨迹。 该技术应用视频分割技术将输入视频序列分解为分解窗口和转换窗口。 该技术顺序地平滑每个窗口中的轨迹。 对于分解窗口,可以使用基于子空间的优化技术。 对于转换窗口,可以使用使用相似度运动模型的直接跟踪优化技术。 该技术然后确定并应用翘曲模型到视频序列中的帧。 在至少一些实施例中,翘曲模型可以包括内容保留翘曲模型,单应性模型,相似度变换模型和全帧翻译模型。 然后可以根据裁剪技术裁剪翘曲的框架。
    • 10. 发明授权
    • Robust video stabilization
    • 强大的视频稳定
    • US08611602B2
    • 2013-12-17
    • US13368284
    • 2012-02-07
    • Hailin JinAseem O. AgarwalaJue Wang
    • Hailin JinAseem O. AgarwalaJue Wang
    • G06K9/00G06K9/40
    • G06T7/33G06T7/246G06T2207/10016G06T2207/20028G06T2207/30241
    • Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.
    • 稳健视频稳定的方法和装置。 视频稳定技术将特征跟踪技术应用于输入视频序列以产生特征轨迹。 该技术应用视频分割技术将输入视频序列分解为分解窗口和转换窗口。 该技术顺序地平滑每个窗口中的轨迹。 对于分解窗口,可以使用基于子空间的优化技术。 对于转换窗口,可以使用使用相似度运动模型的直接跟踪优化技术。 该技术然后确定并应用翘曲模型到视频序列中的帧。 在至少一些实施例中,翘曲模型可以包括内容保留翘曲模型,单应性模型,相似度变换模型和全帧翻译模型。 然后可以根据裁剪技术裁剪翘曲的框架。