Advancing video categorization

Vubble是一家媒体技术公司，为值得信赖的数字视频分发和策展提供解决方案。Vubble结合了 ** 算法和人类管理员，在互联网上搜索用户感兴趣的视频内容。自成立以来，Vubble ** 经历了显着的逐年增长，在教育和媒体 ** 领域的客户群不断扩大。他们已经花了几年时间来建立他们的技术，并确认他们的产品市场适合早期客户，** 已经准备好扩大规模。通过这个项目，Vubble与Senecas信息学院和 ** 通信技术学院的维达·莫瓦赫迪博士合作开发了一种机器学习算法，该算法将自动输出 ** 视频的高概率类别。通过将此算法应用到Vubble工作流程中以协助自动化视频识别，Vubble将能够更好地满足其现有和新兴的客户需求，同时提高其生产力和竞争力。这个视频识别研究项目将是Vubbles了解如何自动识别准确的视频的第一步。对视频管理自动化的需求是普遍的，因为视频正在迅速成为世界上主要的媒体消费形式，特别是对于数字原生的年轻观众。此外，应用研究的结果将帮助Vubble向前推进，解决他们认为所有媒体消费者和社会面临的一个迫在眉睫的问题，即从档案片段中创建的假新闻视频的兴起。

Vubble is a media tech company that builds solutions for trustworthy digital video distribution and curation. Using a combination of**algorithms and human curators, Vubble searches the internet to locate video content of interest to its users. Vubble has**experienced significant year over year growth since incorporation, with an expanding customer base in the education and media**spaces. They have spent several years building their technology and confirming their product market fit with early customers and**are ready to scale. Through this project, Vubble with collaborate with Dr. Vida Movahedi from Senecas School of Information and**Communications Technology to develop a machine-learning algorithm that will automatically output highly probable categories for**videos. With this algorithm implemented into the Vubble workflow to assist in automated video identification, Vubble will be able to**better address their existing, and emerging, customer demands, while increasing their productivity and competitiveness. This**video identification research project will be Vubbles first step in understanding how to automate the identification of accurate**video. The need for automation of videos curation is prevalent, as video is quickly becoming the worlds dominant form of media**consumption, particularly for digital-native younger audiences. Furthermore, the results of the applied research will aid Vubble in**moving forward in addressing what they believe is a looming problem facing all media consumers, and society, the rising of fake**news video created from archival footage.