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    • 4. 发明申请
    • Image Cropping Suggestion Using Multiple Saliency Maps
    • 使用多重显着图的图像裁剪建议
    • US20160104055A1
    • 2016-04-14
    • US14511001
    • 2014-10-09
    • Adobe Systems Incorporated
    • Zhe LinRadomir MechXiaohui ShenBrian L. PriceJianming ZhangAnant GilraJen-Chan Jeff Chien
    • G06K9/46G06T3/40
    • G06T3/40G06K9/4671G06T3/0012G06T11/60G06T2210/22
    • Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.
    • 描述了使用多个显着图的图像裁剪建议。 在一个或多个实现中,针对使用多个不同显着图的候选图像裁剪计算指示为视觉上令人满意的裁剪而建立的视觉特征的分数分数。 评估候选图像裁剪的视觉特征可以指示其组成质量,其保存出现在场景中的内容的程度以及其边界的简单性。 基于分量分数,可以根据每个视觉特征来排列裁剪。 排名可以用于将候选作物聚类成类似的作物的组,使得组中的作物差异小于阈值量,并且不同组中的剪切至少达到阈值量。 基于聚类,可以选择裁剪,例如将其呈现给用户进行选择。
    • 5. 发明授权
    • Category histogram image representation
    • 类别直方图图像表示
    • US09213919B2
    • 2015-12-15
    • US14180305
    • 2014-02-13
    • Adobe Systems Incorporated
    • Zhe LinRadomir MechXiaohui ShenChen Fang
    • G06K9/00G06K9/62G06K9/46
    • G06K9/6212G06K9/00664G06K9/4642G06K2009/6213
    • In techniques for category histogram image representation, image segments of an input image are generated and bounding boxes are selected that each represent a region of the input image, where each of the bounding boxes include image segments of the input image. A saliency map of the input image can also be generated. A bounding box is applied as a query on an images database to determine database image regions that match the region of the input image represented by the bounding box. The query can be augmented based on saliency detection of the input image region that is represented by the bounding box, and a query result is a ranked list of the database image regions. A category histogram for the region of the input image is then generated based on category labels of each of the database image regions that match the input image region.
    • 在类别直方图图像表示的技术中,生成输入图像的图像片段,并且选择每个表示输入图像的区域的边界框,其中每个边界框包括输入图像的图像片段。 也可以生成输入图像的显着图。 将边框应用于图像数据库上的查询,以确定与由边界框表示的输入图像的区域匹配的数据库图像区域。 可以基于由边界框表示的输入图像区域的显着性检测来增加查询,并且查询结果是数据库图像区域的排序列表。 然后基于与输入图像区域匹配的每个数据库图像区域的类别标签来生成输入图像的区域的类别直方图。
    • 8. 发明申请
    • IMAGE FOREGROUND DETECTION
    • 图像前置检测
    • US20150117784A1
    • 2015-04-30
    • US14062680
    • 2013-10-24
    • Adobe Systems Incorporated
    • Zhe LinRadomir MechPeng Wang
    • G06K9/46
    • G06K9/4671G06T7/11G06T7/136G06T7/162G06T7/194G06T2207/20004G06T2207/20016G06T2207/20076G06T2207/20081
    • In techniques for image foreground detection, a foreground detection module is implemented to generate varying levels of saliency thresholds from a saliency map of an image that includes foreground regions. The saliency thresholds can be generated based on an adaptive thresholding technique applied to the saliency map of the image and/or based on multi-level segmentation of the saliency map. The foreground detection module applies one or more constraints that distinguish the foreground regions in the image, and detects the foreground regions of the image based on the saliency thresholds and the constraints. Additionally, different ones of the constraints can be applied to detect different ones of the foreground regions, as well as to detect multi-level foreground regions based on the saliency thresholds and the constraints.
    • 在用于图像前景检测的技术中,实施前景检测模块以从包括前景区域的图像的显着图生成不同级别的显着阈值。 可以基于应用于图像的显着图的自适应阈值技术和/或基于显着图的多级分割来生成显着阈值。 前景检测模块应用区分图像中的前景区域的一个或多个约束,并且基于显着性阈值和约束来检测图像的前景区域。 此外,可以应用不同的约束来检测不同的前景区域,以及基于显着性阈值和约束来检测多级前景区域。