18251838. Automatic Non-Linear Editing Style Transfer simplified abstract (GOOGLE LLC)
Contents
Automatic Non-Linear Editing Style Transfer
Organization Name
Inventor(s)
Weilong Yang of Fremont CA (US)
Automatic Non-Linear Editing Style Transfer - A simplified explanation of the abstract
This abstract first appeared for US patent application 18251838 titled 'Automatic Non-Linear Editing Style Transfer
Simplified Explanation
The present disclosure is about a system, method, and computer program for automated non-linear editing style transfer in videos. This technology aims to enhance the editing process by automatically adjusting content segments based on the identified shot boundaries, analyzed content, and determined editing style.
- The method involves identifying shot boundaries in a video.
- The identified content in each shot is analyzed using object detection techniques.
- The motion across frames within each shot is measured to determine the editing style.
- A set of target content is analyzed in relation to the identified content and editing style of a shot.
- A content segment is automatically adjusted from the set of target content based on the determined editing style of the shot.
Potential applications of this technology:
- Video editing software and platforms can utilize this technology to automate the process of applying different editing styles to video content.
- Content creators and filmmakers can save time and effort by automating the editing process and achieving desired visual effects.
- This technology can be used in video production for creating trailers, promotional videos, and other visually appealing content.
Problems solved by this technology:
- Manual editing can be time-consuming and requires expertise. This technology automates the editing process, reducing the need for manual intervention.
- Determining the appropriate editing style for each shot can be subjective and challenging. This technology uses motion analysis to objectively determine the editing style.
- Matching the content segment with the editing style can be a complex task. This technology analyzes the content and adjusts it accordingly, ensuring a seamless transition.
Benefits of this technology:
- Automation of the editing process saves time and effort for content creators.
- Consistent and professional editing styles can be achieved across different shots in a video.
- Objectively determining the editing style based on motion analysis improves the overall quality of the edited video.
Original Abstract Submitted
The present disclosure provides systems, methods, and computer program products for performing automated non-linear editing style transfer. A computer-implemented method may include determining one or more shot boundaries in a video, analyzing identified content in each of one or more shots in the video based on performing object detection, determining an editing style for each of the one or more shots in the video based at least in part on measuring motion across frames within the respective shots, determining a content segment to adjust from a set of target content based on analyzing the set of target content in view of the identified content and the determined editing style of a shot from the video, and automatically adjusting the content segment from the set of target content based at least in part on modifying the content segment with the determined editing style of the shot from the video.
