18420509. GENERATING VIDEOS simplified abstract (Google LLC)
Contents
- 1 GENERATING VIDEOS
GENERATING VIDEOS
Organization Name
Inventor(s)
Nathan James Frey of Venice CA (US)
Zheng Sun of Sunnyvale CA (US)
GENERATING VIDEOS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18420509 titled 'GENERATING VIDEOS
Simplified Explanation
The patent application describes a method for generating videos based on a target object type identified in an input video. The method involves processing the input video to track instances of the target object type, generating sub-videos for each instance of the target object, and combining these sub-videos to create an output video.
- Tracking and identifying target objects in a video based on a specified object type.
- Generating sub-videos for each instance of the target object type identified in the input video.
- Combining the sub-videos to create a final output video.
Potential Applications
This technology could be applied in video editing software, augmented reality applications, and video surveillance systems.
Problems Solved
This technology solves the problem of efficiently generating videos focusing on specific target objects within a larger video dataset.
Benefits
The benefits of this technology include improved video editing capabilities, enhanced object tracking in videos, and the ability to create customized videos based on specific object types.
Potential Commercial Applications
The potential commercial applications of this technology include video production companies, security firms, and entertainment industries.
Possible Prior Art
One possible prior art could be video editing software that allows for object tracking and manipulation within videos. Another could be object recognition technology used in surveillance systems.
What are the potential limitations of this technology in real-world applications?
One potential limitation of this technology in real-world applications could be the accuracy of object tracking and identification, especially in complex or crowded video scenes. Additionally, the processing power required to generate multiple sub-videos from a single input video could be a limiting factor in some applications.
How does this technology compare to existing video editing software in terms of object tracking and manipulation capabilities?
This technology offers a more automated and targeted approach to object tracking and manipulation in videos compared to traditional video editing software. By focusing on specific target object types, this method allows for more precise control and customization of video content.
Original Abstract Submitted
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating videos. In one aspect, a method comprises: receiving: (i) an input video comprising a sequence of video frames, and (ii) data indicating a target object type; processing the input video to generate tracking data that identifies and tracks visual locations of one or more instances of target objects of the target object type in the input video; generating a plurality of sub-videos based on the input video and the tracking data, including: for each sub-video, generating a respective sequence of sub-video frames that are each extracted from a respective video frame of the input video to include a respective instance of a given target object from among the identified target objects of the target object type; and generating an output video that comprises the plurality of sub-videos.
