GoPro’s patented system uses acceleration and speed data from an image capture device to automatically identify the beginning and ending moments of video clips. This technology enhances video editing capabilities for users, ensuring key events are captured efficiently. GlobalData’s report on GoPro gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on GoPro, Property assessment drones was a key innovation area identified from patents. GoPro's grant share as of April 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Event identification in videos based on device motion
A recently granted patent (Publication Number: US11967346B1) discloses a system for identifying events in videos. The system involves obtaining video information defining a video with a progress length and position information characterizing the speed and acceleration of an image capture device during video capture. The system identifies the beginning and ending moments of a video clip based on the acceleration and speed of the image capture device, respectively. The video clip generated includes a portion of the progress length between the identified moments. The system aims to enhance event identification in videos by utilizing acceleration and speed data effectively.
Furthermore, the patent includes a method for identifying events in videos, performed by a computing system with processors. The method involves obtaining video and position information, identifying the beginning and ending moments of a video clip based on acceleration and speed data of the image capture device, and generating the video clip accordingly. The method emphasizes the use of acceleration and speed information to accurately pinpoint event moments within videos. Additionally, the method highlights the detection of surfing activity within videos based on visual content classification. Overall, the patent presents a comprehensive system and method for efficient event identification in videos, particularly focusing on surfing activities and utilizing acceleration and speed data for precise moment detection.
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