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1. 发明授权

US10134108B2 Content aware sampling during patch synthesis 有权
公开(公告)号：US10134108B2
公开(公告)日：2018-11-20
申请号：US15286245
申请日：2016-10-05
申请人： ADOBE SYSTEMS INCORPORATED
发明人： Sohrab Amirghodsi , Aliakbar Darabi , Elya Shechtman
IPC分类号： G09G5/00 , G06T3/40 , G06T7/00
摘要： Embodiments of the present invention provide systems, methods, and computer storage media directed at image synthesis utilizing sampling of patch correspondence information between iterations at different scales. A patch synthesis technique can be performed to synthesize a target region at a first image scale based on portions of a source region that are identified by the patch synthesis technique. The image can then be sampled to generate an image at a second image scale. The sampling can include generating patch correspondence information for the image at the second image scale. Invalid patch assignments in the patch correspondence information at the second image scale can then be identified, and valid patches can be assigned to the pixels having invalid patch assignments. Other embodiments may be described and/or claimed.

2. 发明授权

US10049435B2 Controlling smoothness of a transmission between images 有权
公开(公告)号：US10049435B2
公开(公告)日：2018-08-14
申请号：US15160932
申请日：2016-05-20
申请人： ADOBE SYSTEMS INCORPORATED
发明人： Sylvain Paris , Sohrab Amirghodsi , Aliakbar Darabi , Elya Shechtman
IPC分类号： G06T5/00 , G06T3/40 , G06T11/60
摘要： Embodiments described herein are directed to methods and systems for facilitating control of smoothness of transitions between images. In embodiments, a difference of color values of pixels between a foreground image and the background image are identified along a boundary associated with a location at which to paste the foreground image relative to the background image. Thereafter, recursive down sampling of a region of pixels within the boundary by a sampling factor is performed to produce a plurality of down sampled images having color difference indicators associated with each pixel of the down sampled images. Such color difference indicators indicate whether a difference of color value exists for the corresponding pixel. To effectuate a seamless transition, the color difference indicators are normalized in association with each recursively down sampled image.

3. 发明申请

US20180121754A1 IMAGE PATCH MATCHING USING PROBABILISTIC SAMPLING BASED ON AN ORACLE 审中-公开
公开(公告)号：US20180121754A1
公开(公告)日：2018-05-03
申请号：US15342793
申请日：2016-11-03
申请人： Adobe Systems Incorporated
发明人： Nathan Carr , Kalyan Sunkavalli , Michal Lukac , Elya Shechtman
IPC分类号： G06K9/62
摘要： The present disclosure is directed toward systems and methods for image patch matching. In particular, the systems and methods described herein sample image patches to identify those image patches that match a target image patch. The systems and methods described herein probabilistically accept image patch proposals as potential matches based on an oracle. The oracle is computationally inexpensive to evaluate but more approximate than similarity heuristics. The systems and methods use the oracle to quickly guide the search to areas of the search space more likely to have a match. Once areas are identified that likely include a match, the systems and methods use a more accurate similarity function to identify patch matches.

4. 发明授权

US09665962B2 Image distractor detection and processng 有权
公开(公告)号：US09665962B2
公开(公告)日：2017-05-30
申请号：US14812841
申请日：2015-07-29
申请人： Adobe Systems Incorporated
发明人： Ohad I. Fried , Elya Shechtman , Daniel R. Goldman
IPC分类号： G06K9/40 , G09G5/00 , G06T11/60 , G06T7/00 , G06T3/40 , G06T5/00 , G06K9/62
CPC分类号： G06T11/60 , G06K9/4671 , G06T5/002 , G06T5/005 , G06T7/11 , G06T2207/10004 , G06T2207/20081
摘要： Image distractor detection and processing techniques are described. In one or more implementations, a digital medium environment is configured for image distractor detection that includes detecting one or more locations within the image automatically and without user intervention by the one or more computing devices that include one or more distractors that are likely to be considered by a user as distracting from content within the image. The detection includes forming a plurality of segments from the image by the one or more computing devices and calculating a score for each of the plurality of segments that is indicative of a relative likelihood that a respective said segment is considered a distractor within the image. The calculation is performed using a distractor model trained using machine learning as applied to a plurality images having ground truth distractor locations.

5. 发明申请

US20170069056A1 Focal Length Warping 有权
标题翻译：焦距变形
公开(公告)号：US20170069056A1
公开(公告)日：2017-03-09
申请号：US14845510
申请日：2015-09-04
申请人： Adobe Systems Incorporated
发明人： Ian D. Sachs , Elya Shechtman , Daniel R. Goldman
IPC分类号： G06T3/00 , H04N5/232 , G06T17/20 , G06K9/00 , G06T7/00 , G06T17/10
CPC分类号： G06T3/0093 , G06K9/00201 , G06K9/00214 , G06K9/00281 , G06K9/209 , G06K9/6255 , G06T5/006 , G06T7/571 , G06T17/20 , G06T2207/20104 , G06T2207/20132 , G06T2207/30201 , G06T2210/44 , H04N5/23212 , H04N5/23219 , H04N5/23229
摘要： Techniques for focal length warping are described. Focal length warping, for instance, may provide an automated approach for correcting distortion in an input image to improve its perceptual quality. In at least some implementations, a focal length of a camera lens used to capture an image and an estimated camera distance are utilized to three-dimensionally reproject and warp the image to generate an adjusted image simulating a new focal length and a new camera distance. Implementations of focal length warping may estimate a camera distance based on facial features in an image.
摘要翻译：描述了焦距翘曲的技术。例如，焦距翘曲可以提供用于校正输入图像中的失真的自动化方法，以提高其感知质量。在至少一些实施方案中，利用用于拍摄图像的照相机镜头的焦距和估计的照相机距离来三维地重新投影和扭曲图像以产生模拟新的焦距和新的照相机距离的调整图像。焦距翘曲的实现可以基于图像中的面部特征来估计相机距离。

6. 发明授权

US09575641B2 Content aware image editing 有权
标题翻译：内容感知图像编辑
公开(公告)号：US09575641B2
公开(公告)日：2017-02-21
申请号：US13740814
申请日：2013-01-14
申请人： Adobe Systems Incorporated
发明人： Elya Shechtman , Dan Goldman
IPC分类号： G06F3/0484 , G06T5/00 , G06T11/60
CPC分类号： G06T11/60 , G06F3/04842 , G06F3/04845 , G06F3/0486 , G06T5/005 , G06T7/90 , G06T2207/10004 , G06T2207/10024 , G06T2207/20104
摘要： An image is displayed using a computer system. The image includes contents that have a visible feature therein at a first location. A first input is received that includes a user movement of at least the visible feature from the first location. During the user movement, the first location is synthesized with content from where the visible feature is currently located. A second input is received that specifies an end of the user movement at a second location. A source area in the image is identified. The method further includes identifying additional contents within the source area. The additional contents are identified using a patch-based optimization algorithm on the image. The method further includes updating the image to have the additional contents at least in the first location.
摘要翻译：使用计算机系统显示图像。图像包括在第一位置处具有可见特征的内容。接收包括来自第一位置的至少可见特征的用户移动的第一输入。在用户移动期间，第一位置与当前可见特征位于的内容合成。接收到第二个输入，指定用户在第二个位置移动的结束。识别图像中的源区域。该方法还包括识别源区域内的附加内容。使用图像上的基于补丁的优化算法来识别附加内容。该方法还包括至少在第一位置更新图像以具有附加内容。

7. 发明申请

US20170032819A1 Automated Looping Video Creation 有权
标题翻译：自动循环视频创作
公开(公告)号：US20170032819A1
公开(公告)日：2017-02-02
申请号：US14811265
申请日：2015-07-28
申请人： Adobe Systems Incorporated
发明人： Laura Sevilla-Lara , Elya Shechtman , Kalyan K. Sunkavalli
IPC分类号： G11B27/00 , G06K9/40 , G06K9/34 , G06K9/62 , H04N5/14 , H04N9/87
CPC分类号： G11B27/007 , G06K9/00744 , G06K9/342 , G06K9/40 , G06K9/6215 , H04N5/145 , H04N5/76 , H04N9/87
摘要： Automated looping video creation techniques are described. In one or more implementations, a digital medium environment is configured to create a looping video that supports repeated playback that appears generally seamless to a user by one or more computing devices. Frames of a video are segmented into foreground and background regions by the one or more computing devices. Similarity of the foreground regions is determined of the segmented frames, one to another, by the one or more computing devices to use as a transition in the looping video. The looping video is synthesized as a subset of the video by the one or more computing devices as having the transition based on the determined similarity of first and second said frames.
摘要翻译：描述了自动循环视频创建技术。在一个或多个实现中，数字媒体环境被配置为创建支持重复播放的循环视频，所述重复播放通常由一个或多个计算设备无缝地呈现给用户。一个或多个计算设备将视频的帧分割成前景和背景区域。通过一个或多个计算设备在循环视频中用作转换来确定前景区域的相似性。循环视频由一个或多个计算设备作为视频的子集合成具有基于所确定的第一和第二所述帧的相似度的转换。

8. 发明授权

US09501724B1 Font recognition and font similarity learning using a deep neural network 有权
标题翻译：使用深层神经网络的字体识别和字体相似性学习
公开(公告)号：US09501724B1
公开(公告)日：2016-11-22
申请号：US14734466
申请日：2015-06-09
申请人： ADOBE SYSTEMS INCORPORATED
发明人： Jianchao Yang , Zhangyang Wang , Jonathan Brandt , Hailin Jin , Elya Shechtman , Aseem Omprakash Agarwala
IPC分类号： G06K9/00 , G06K9/36 , G06K9/66 , G06K9/62 , G06K9/68 , G06T3/40
CPC分类号： G06T3/40 , G06K9/6255 , G06K9/6828
摘要： A convolutional neural network (CNN) is trained for font recognition and font similarity learning. In a training phase, text images with font labels are synthesized by introducing variances to minimize the gap between the training images and real-world text images. Training images are generated and input into the CNN. The output is fed into an N-way softmax function dependent on the number of fonts the CNN is being trained on, producing a distribution of classified text images over N class labels. In a testing phase, each test image is normalized in height and squeezed in aspect ratio resulting in a plurality of test patches. The CNN averages the probabilities of each test patch belonging to a set of fonts to obtain a classification. Feature representations may be extracted and utilized to define font similarity between fonts, which may be utilized in font suggestion, font browsing, or font recognition applications.
摘要翻译：对卷积神经网络（CNN）进行字体识别和字体相似学习。在训练阶段，通过引入差异来合成具有字体标签的文本图像，以最小化训练图像与真实世界文本图像之间的差距。生成训练图像并将其输入到CNN中。根据CNN正在训练的字体数量，输出被输入到N-way softmax函数中，产生N类标签上分类文本图像的分布。在测试阶段，每个测试图像的高度被标准化，并以纵横比挤压，从而产生多个测试贴片。 CNN对属于一组字体的每个测试补丁的概率进行平均，以获得分类。可以提取和利用特征表示来定义可以在字体建议，字体浏览或字体识别应用中使用的字体之间的字体相似性。

9. 发明授权

US09317773B2 Patch-based synthesis techniques using color and color gradient voting 有权
标题翻译：使用颜色和颜色渐变投票的基于贴片的综合技术
公开(公告)号：US09317773B2
公开(公告)日：2016-04-19
申请号：US14478932
申请日：2014-09-05
申请人： Adobe Systems Incorporated
发明人： Elya Shechtman , Daniel R. Goldman , Aliakbar Darabi
IPC分类号： G06K9/00 , G06K9/46 , G06K9/68 , G06T11/60 , G06K9/62
CPC分类号： G06K9/4652 , G06K9/00 , G06K9/6202 , G06K9/68 , G06T11/60
摘要： Methods, apparatus, and computer-readable storage media for patch-based image synthesis using color and color gradient voting. A patch matching technique provides an extended patch search space that encompasses geometric and photometric transformations, as well as color and color gradient domain features. The photometric transformations may include gain and bias. The patch-based image synthesis techniques may also integrate image color and color gradients into the patch representation and replace conventional color averaging with a technique that performs voting for colors and color gradients and then solves a screened Poisson equation based on values for colors and color gradients when blending patch(es) with a target image.
摘要翻译：用于使用颜色和颜色梯度投票的基于贴片的图像合成的方法，装置和计算机可读存储介质。补丁匹配技术提供了包含几何和光度变换以及颜色和颜色渐变域特征的扩展补丁搜索空间。光度变换可以包括增益和偏置。基于补丁的图像合成技术还可以将图像颜色和色彩渐变集成到贴片表示中，并且用对颜色和颜色渐变进行投票的技术代替常规颜色平均化，然后基于颜色和颜色梯度的值来解决筛选的泊松方程当将补丁与目标图像混合时。

10. 发明授权

US09305329B2 Low memory content aware fill 有权
标题翻译：低内存含量意识填充
公开(公告)号：US09305329B2
公开(公告)日：2016-04-05
申请号：US14339161
申请日：2014-07-23
申请人： Adobe Systems Incorporated
发明人： Dan Goldman , Elya Shechtman
IPC分类号： G06K9/32 , G06T1/60 , G06T5/00
CPC分类号： G06T1/60 , G06T5/005 , G06T2207/20021 , G06T2207/20172
摘要： A first image at a first resolution is received, the first image having a first hole therein. Based on the first image, a second image is generated at a second resolution lower than the first resolution, the second image having a second hole therein corresponding to the first hole. In the second image, one or more second-image source patches for the second hole are identified. At least one first-image source patch in the first image is identified based on a location of the identified second-image source patch. The identified at least one first-image source patch are stored in memory. Fill content are identified in the at least one first-image source patch stored in the memory. The identified fill content are placed in the first hole.
摘要翻译：接收第一分辨率的第一图像，第一图像在其中具有第一孔。基于第一图像，以比第一分辨率低的第二分辨率产生第二图像，第二图像在其中具有与第一孔相对应的第二孔。在第二图像中，识别用于第二孔的一个或多个第二图像源补丁。基于所识别的第二图像源补丁的位置来识别第一图像中的至少一个第一图像源补丁。所识别的至少一个第一图像源补丁存储在存储器中。填充内容在存储在存储器中的至少一个第一图像源补丁中被识别。所识别的填充内容被放置在第一个孔中。

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