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MACHINE LEARNING MODELS FOR IDENTIFYING OBJECTS DEPICTED IN IMAGE OR VIDEO DATA

机译:识别图像或视频数据中对象的机器学习模型

摘要

Systems and methods are provided for analyzing images or video using computer vision. Media items, including images or videos, are retrieved from one or more media channels, such as social media network services, streaming media networks, or broadcast networks. A media item is identified that depicts a object associated with a sponsor. A media cost equivalent is determined that is associated with the media item as distributed by the media channels. Using computer vision, a percentage is determined for the media cost equivalent. The percentage is determined based at least in part on at least one of size, clarity, duration or position of the sponsor object or another object in the media item. A sponsor valuation is calculated based at least in part on the media cost equivalent adjusted by the percentage.
机译:提供了用于使用计算机视觉分析图像或视频的系统和方法。从一个或多个媒体渠道(例如社交媒体网络服务,流媒体网络或广播网络)检索包括图像或视频的媒体项目。识别出描述与赞助者相关联的对象的媒体项目。确定与由媒体频道分配的媒体项相关联的媒体成本当量。使用计算机视觉,确定等效的媒体费用百分比。该百分比至少部分地基于赞助者对象或媒体项目中的另一个对象的大小,清晰度,持续时间或位置中的至少一个来确定。赞助商的估值至少部分基于根据百分比调整的等价媒体费用。

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