Google llc (20240161783). GENERATING VIDEOS simplified abstract
Contents
- 1 GENERATING VIDEOS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATING VIDEOS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
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 20240161783 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.
- Receiving an input video with a sequence of video frames and data indicating a target object type.
- Processing the input video to track instances of the target object type.
- Generating sub-videos for each instance of the target object type.
- Combining the sub-videos to create an output video.
Potential Applications
This technology could be used in video editing software, augmented reality applications, and video surveillance systems.
Problems Solved
This technology solves the problem of efficiently generating videos focused on specific target objects within a larger video.
Benefits
The benefits of this technology include improved video editing capabilities, enhanced visual tracking of objects, and the ability to create customized videos based on target object types.
Potential Commercial Applications
"Enhanced Video Generation Technology for Target Objects"
Possible Prior Art
One possible prior art could be video editing software that allows for object tracking and manipulation within videos.
Unanswered Questions
How does this technology handle complex scenes with multiple target objects?
The method described in the patent application focuses on generating sub-videos for individual instances of a target object type. It is unclear how the technology would handle scenarios where multiple target objects are present in a scene.
What is the computational overhead of implementing this video generation method?
The patent application does not provide information on the computational resources required to process and generate sub-videos based on the identified target objects.
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.
