It also complicated our ability to develop new models to address stabilization or scene detection because they require multiple passes over the video. Because it treats video as a series of constant rate images, it led to problems when the app’s AI models had to process variable frame rate footage, frame repeats, and scene changes. We originally built Video Enhance AI to improve the most common quality issues affecting videos, including de-interlacing footage, intelligent upscaling up to 8K resolution, and seamless frame rate conversion.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |