Multi-View Object Rendering for Action Shot Video Generation
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Solution Overview
Problem
Existing methods are costly and difficult to create action shot videos of objects, as they require repositioning the object in various contexts, which is time-consuming and expensive, and often result in static videos with fixed contexts that do not meet viewer preferences.
Innovation Solution
The techniques described allow for the creation of action shot videos from multi-view capture data, enabling the combination of a multi-view capture of an object with action shot base videos to generate videos in different contexts without repositioning the object, using methods like object detection, pose estimation, and rendering the object into selected backgrounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional methods are used to create action shot videos by repositioning objects in various contexts, then videos can be created with different contexts, but the process becomes time-consuming and expensive
Solution Approach 1:
The system performs preliminary actions by capturing multi-view images of the object in advance and pre-processing them to extract 3D information, depth maps, and segmentation data. This preparation work is done once, allowing rapid generation of action shot videos in different contexts without repeated repositioning and shooting, thus reducing production time while maintaining context variety
Solution Approach 2:
The system creates digital copies of the object from multi-view capture data, including 3D models, depth maps, and segmented object representations. These digital copies can be virtually placed in different contexts without physically moving the actual object, enabling rapid context changes while eliminating the time-consuming process of physical repositioning
2Adaptability or versatility
If traditional methods are used to create action shot videos by repositioning objects in various contexts, then videos can be created with different contexts, but costs increase significantly
Solution Approach 1:
The system creates digital copies of the object from multi-view capture data, including 3D models, depth maps, and segmented object representations. These digital copies can be virtually placed in different contexts without physically moving the actual object, enabling rapid context changes while eliminating the time-consuming and expensive process of physical repositioning
Solution Approach 2:
The system replaces the mechanical process of physically repositioning objects with computational methods. By using image processing, 3D reconstruction, and virtual rendering, the system substitutes expensive and labor-intensive physical handling with automated digital manipulation, significantly reducing production costs while maintaining context variety
3Ease of operation
If traditional methods are used to create action shot videos, then videos can be produced, but they result in static videos with fixed contexts that do not meet viewer preferences
Solution Approach 1:
The system transforms static object representations into dynamic, adaptable digital models that can be virtually positioned in different contexts. The processed multi-view data enables the object to be dynamically placed in various backgrounds and perspectives, creating flexible action shot videos that adapt to viewer preferences rather than being fixed in a single context
Solution Approach 2:
The system changes key parameters of the object representation by extracting 3D geometry, depth information, and segmentation data from multi-view captures. These parameter changes enable the object to be rendered in different contexts, sizes, and perspectives, transforming static images into adaptable video content that can satisfy diverse viewer preferences
Data Source
AI summary
A three-dimensional representation of a scene captured in an action shot base video may be determined. The three-dimensional representation may identify a camera pose. A representation of an object may be determined from a multi-view representation of the object that includes images of the object and that is navigable in one or more dimensions. An action shot video of the scene that includes a rendering of the object determined based on the representation and the camera pose may be generated.