首页> 外国专利> SYSTEM AND METHOD FOR GROUPING INDEPENDENT MACHINE LEARNT ARTIFICIAL INTELLIGENCE TO GENERATE COLLECTIVE 'MACHINE WISDOM' TO OBTAIN HIGHER ACCURACY IN IDENTIFICATION OF TAGS, OBJECTS AND ACTIONS IN A VIDEO

SYSTEM AND METHOD FOR GROUPING INDEPENDENT MACHINE LEARNT ARTIFICIAL INTELLIGENCE TO GENERATE COLLECTIVE 'MACHINE WISDOM' TO OBTAIN HIGHER ACCURACY IN IDENTIFICATION OF TAGS, OBJECTS AND ACTIONS IN A VIDEO

机译:用于对独立的机器学习的人工智能进行分组以产生集体“机器智慧”以在视频中的标签,对象和动作的识别中获得更高准确性的系统和方法

摘要

The present invention overcomes the drawbacks of the technology models available in the state of the art by providing a system and method for grouping independent machine learnt artificial intelligence to generate collective “machine wisdom” to obtain higher accuracy in identification of tags, objects and actions in a video. The system comprises an input module, Media Asset Management (MAM) module, catalogue module and a machine learning module. The input module allows the user(s) to upload one or more videos into a media ERP solution a media asset management solution. The system further predicts and improves the vision parameters by using collective artificial intelligence machines through mutual learnt models and thereby enables higher accurate video identification resolution and cataloguing of a problem or its prediction in lesser period of time.
机译:本发明通过提供一种用于对独立的机器学习的人工智能进行分组以产生集体的“机器智慧”以在识别标签,对象和动作中获得更高的准确性的系统和方法,克服了现有技术中可用的技术模型的缺陷。视频。该系统包括输入模块,媒体资产管理(MAM)模块,目录模块和机器学习模块。输入模块允许用户将一个或多个视频上传到媒体资产管理解决方案的媒体ERP解决方案中。该系统通过相互学习的模型,通过使用集体人工智能机器来进一步预测和改善视觉参数,从而在更短的时间内实现更高准确度的视频识别解决方案以及对问题或其预测的分类。

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