Artificial Intelligence & timelapse
Because the timelapse reveals the invisible, this technique is particularly subject to the use of artificial intelligence. Many features and objectives result from this and among them:
- detection of objects, people or animals through image recognition training and for counting, securing or blurring purposes.
- automatic and intelligent improvement of images: some tools such as Let’s Enhance allow to improve the resolution of images thanks to the SISR (single image super resolution) technology with Artificial Intelligence. You want to try ? It’s this way : https://letsenhance.io/
- smart prediction calculations for object/person tracking (source Tali Dekel):
- content creation : it is for example the transfer of style of an image: from photo it becomes drawing (https://deepart.io/) or the construction of a realistic photo from a very simple drawing and little detailed (https://techcrunch.com/2019/03/18/nvidia-ai-turns-sketches-into-photorealistic-landscapes-in-seconds/)
- automatic shooting according to certain scenarios: the Photobooth mode of the last smartphone of Google offers for example to automatically realize the best selfie
- selection of the best photos for the timelapse video generation thanks to intelligence algorithms specific to each application / tool.
- transformation of a standard video into slowmotion video thanks to the AI by interpolation of photos (source NVIDIA):
Some timelapse solutions already use artificial intelligence algorithms (https://enlaps.io/tikee-artificial-intelligence/?lang=en) for the automatic calculation of photo parameters according to the scene, object / vehicle / person recognition, compliance with the GDPR through the anonymization of snapshots and blurring people, improving videos, selecting the best shots for videos to perfect rendition, etc.
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