In this video, I explain how we can leverage the image labeling facilities of YOLOv8 in video summarization and automated video understanding. Video understanding involves analyzing video content to extract meaningful information automatically. It encompasses tasks such as object detection, action recognition, scene understanding, and more. In this video, we will start use a simple strategy.
Our Experiment:
-- We'll extract frames from two videos: a homemade backyard barbecue video and a street view video from Pexels ( www.pexels.com... ) .
-- Using YOLO v8, we detect and label objects in each frame.
-- The output includes a video with labeled objects and a text file listing detected objects per frame.
-- We'll upload the text file to ChatGPT to interpret the results and check if the detected objects make sense and if we can summarize the video.
Here is the next video: • GPT-4o for Video Summa...
The next video has the GitHub page containing the code of this video and the next video.
Thank you for watching.
Dr. Shahriar Hossain
computing4all.com
#ai #computervision #yolo #videosummarization #deeplearning #chatgpt #objectdetection
Негізгі бет YOLO and ChatGPT for Video Summarization and Understanding: Python Program
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