MOBILE DEVICE IMAGE ACQUISITION USING OBJECTS OF INTEREST RECOGNITION
    11.
    发明申请
    MOBILE DEVICE IMAGE ACQUISITION USING OBJECTS OF INTEREST RECOGNITION 有权
    使用感兴趣的对象的移动设备图像获取

    公开(公告)号:US20160094774A1

    公开(公告)日:2016-03-31

    申请号:US14500911

    申请日:2014-09-29

    Applicant: Yahoo! Inc.

    Inventor: Jia Li Haojian Jin

    CPC classification number: H04N5/23212 G06K9/3233 H04N5/23216 H04N5/23293

    Abstract: An approach is provided for acquiring images with camera-enabled mobile devices using objects of interest recognition. A mobile device is configured to acquire an image represented by image data and process the image data to identify a plurality of candidate objects of interest in the image. The plurality of candidate objects of interest may be identified based upon a plurality of low level features or “cues” in the image data. Example cues include, without limitation, color contrast, edge density and superpixel straddling. A particular candidate object of interest is selected from the plurality of candidate objects of interest and a graphical symbol is displayed on a screen of the mobile device to identify the particular candidate object of interest. The particular candidate object of interest may be located anywhere on the image. Passive auto focusing is performed at the location of the particular candidate object of interest.

    Abstract translation: 提供了一种用于使用感兴趣的对象识别摄像机的移动设备来获取图像的方法。 移动装置被配置为获取由图像数据表示的图像并处理图像数据以识别图像中的多个候选对象。 可以基于图像数据中的多个低级特征或“提示”来识别多个候选对象。 示例提示包括但不限于颜色对比度,边缘密度和超像素跨越。 从多个感兴趣的候选对象中选择特定的候选对象,并且在移动设备的屏幕上显示图形符号以识别特定的感兴趣的候选对象。 感兴趣的特定候选对象可以位于图像的任何地方。 在特定候选对象的位置执行被动自动对焦。

    SYSTEM AND METHOD FOR DETECTION OF INDOOR TRACKING UNITS

    公开(公告)号:US20160021511A1

    公开(公告)日:2016-01-21

    申请号:US14462756

    申请日:2014-08-19

    Applicant: YAHOO! INC.

    Abstract: Disclosed is a system and method for obtaining ad-hoc the spatial layout and setup of installed radio-based indoor tracking systems at particular locations. The systems and methods can be implemented via an installed or web-based application that performs the ad-hoc detection of indoor beacons, which includes detecting the signal strength of all beacons at a location while the user performs a previously configured gesture. From the trajectory of the gesture and the recorded signal strengths, the disclosed systems and methods derive the distance and direction of all beacons, which are laid out in a 2D map. Thus, the present disclosure can implicitly calibrate signal strengths to high-accuracy distances, thereby producing the spatially accurate 2D setup of the previously unknown space, in addition to indoor tracking on a decimeter level, which is efficient and increasingly cost effective for device tracking and advertising purposes.

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