Abstract
News editors obtained the following quote from the background information suppli ed by the inventors:“Recent years have seen significant improvements in hardwar e and software platforms for trainingand utilizing machine-learning models. For instance, many deep-learning methods now achieve promisingperformance in a wid e range of computer vision tasks (e.g., processing images and videos utilizing machine-learning models). For example, many conventional systems utilize machine- learning techniques tomodify, edit, merge, touch up, or classify digital videos . While advances have been made in the fieldof computer vision, applying machin e-learning techniques to digital videos is currently resource-intensiveand comp utationally expensive. Further, notwithstanding these advances, conventional sys tems continueto suffer from a number of problems in the field of computer visio n, and in particular, with regard toefficiency and flexibility of digital video processing.”
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