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    • 31. 发明授权
    • Salient object segmentation
    • 突出物体分割
    • US09042648B2
    • 2015-05-26
    • US13403747
    • 2012-02-23
    • Jingdong WangShipeng LiHuaizu Jiang
    • Jingdong WangShipeng LiHuaizu Jiang
    • G06K9/34G06K9/46G06T7/00
    • G06K9/4638G06T7/12G06T7/143G06T2207/10024G06T2207/20016
    • Techniques for identifying a salient object with respect to its context are described. A process receives an input image that includes a salient object. The process segments the input image into multiple regions and calculates a saliency value for each of the segmented regions based on scale image levels. The process constructs saliency maps based at least in part on the calculated saliency value, and combines the saliency maps to construct a total saliency map. Next, the process connects a set of line segments computed from the input image and utilizes the total saliency map to compute a closed boundary, which forms a shape prior from the closed boundary, and extracts the salient object from the total saliency map and the shape prior.
    • 描述了相对于其上下文识别显着对象的技术。 进程接收包含突出对象的输入图像。 该过程将输入图像分割成多个区域,并且基于比例图像级别计算每个分割区域的显着性值。 该过程至少部分地基于计算的显着值构建显着图,并结合显着图以构建总显着图。 接下来,该过程连接从输入图像计算的一组线段,并利用总显示图来计算闭合边界,该闭合边界形成从封闭边界之前的形状,并从总显着图和形状中提取显着对象 之前
    • 33. 发明申请
    • RERANKING USING CONFIDENT IMAGE SAMPLES
    • 使用保密的图像样本进行快照
    • US20140250109A1
    • 2014-09-04
    • US13393509
    • 2011-11-24
    • Jingdong WangShipeng LiNobuyuki Morioka
    • Jingdong WangShipeng LiNobuyuki Morioka
    • G06F17/30
    • G06F17/3053G06F17/30247G06F17/30256G06F17/30268G06F17/30277
    • The techniques described herein determine an initial set of ranked images associated with an image-based search query. Based on visual content similarities between images in the initial set of ranked images, the techniques select confident image samples from the initial set of ranked images. The techniques then use the confident image samples to rerank the initial set of ranked images. Accordingly, a search engine uses the confident image samples to promote images that are likely to be relevant to the search query, while demoting images that are not likely to be relevant to the search query. Therefore, the search engine can provide improved relevance-based search results to an image-based search query.
    • 本文描述的技术确定与基于图像的搜索查询相关联的初始的排序图像集合。 基于初始设置的图像中的图像之间的视觉内容相似性,该技术从初始的排列图像集中选择可信度图像样本。 然后,技术使用自信的图像样本重新排列初始的排序图像集。 因此,搜索引擎使用确定的图像样本来推广可能与搜索查询相关的图像,同时降低与搜索查询不可能相关的图像。 因此,搜索引擎可以向基于图像的搜索查询提供改进的基于关联的搜索结果。