发明名称 Image selection and recognition processing from a video feed
摘要 A system that selects image frames from a video feed for recognition of objects (such as physical objects, text characters, or the like) within the image frames. The individual frames are selected using robust historical metrics that compare individual metrics of the particular image (such as focus, motion, intensity, etc.) to similar metrics of previous image frames in the video feed. The system will select the image frame for object recognition if the image frame is relatively high quality, that is the image frame is suitable for a later object recognition processing.
申请公布号 US9626577(B1) 申请公布日期 2017.04.18
申请号 US201414486509 申请日期 2014.09.15
申请人 AMAZON TECHNOLOGIES, INC. 发明人 Yu Qingfeng;Liu Yue
分类号 G06K9/46;G06K9/18;G06K9/62 主分类号 G06K9/46
代理机构 Seyfarth Shaw LLP 代理人 Seyfarth Shaw LLP ;Barzilay Ilan N.;Baxter Christopher A.
主权项 1. A computing system configured to select an image for object recognition, the system comprising: at least one processor; memory including instructions which, when executed by the at least one processor, cause the system to perform a set of actions comprising: receiving a plurality of sequential images in a camera video feed, the plurality of sequential images comprising a first image and preceding images, the preceding images occurring in the sequential images prior to the first image;determining a respective value for a focus metric for each image of the plurality of sequential images, wherein the focus metric measures a respective focus level of each image;determining a first focus metric value for the first image;calculating a historical focus metric value based on a plurality of respective focus metric values for the preceding images;determining a respective value for a motion metric for each image of the plurality of sequential images, wherein the motion metric measures a respective motion level of each image;determining a first motion metric value for the first image;calculating a historical motion metric value based on a plurality of respective motion metric values for the preceding images;computing a suitability metric value by processing the first focus metric value, the historical focus metric value, the first motion metric value, and the historical motion metric value using a classifier model, wherein the suitability metric value indicates a suitability for performing optical character recognition on the first image; andselecting the first image for optical character recognition based at least in part on the suitability metric value.
地址 Seattle WA US
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