Video Scene Graph Mapping for Seamless Object Replacement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated identification and tracking of scenes, objects, and features in videos is challenging due to the complexity of characteristics that need to be observed and managed, making it difficult to replace or remove elements seamlessly.
Innovation Solution
A method and system that breaks down videos into scenes and frames, identifies objects and areas using algorithms like DRIFT, SIFT, and SURF, generates 3D spatial maps, and modifies scenes based on these maps to replace or remove elements efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated identification and tracking of scenes, objects, and features is implemented, then video customization capability is improved, but system complexity increases due to multiple characteristics that need to be observed and managed
Solution Approach 1:
The patent segments the video into discrete scenes and frames, and further segments objects within frames into identifiable elements with specific characteristics. This segmentation allows the complex task of automated identification and tracking to be broken down into manageable components, each handled by specialized algorithms (e.g., object detection, feature extraction, scene graph construction), thereby reducing overall system complexity while maintaining high customization capability.
Solution Approach 2:
The patent introduces a multi-dimensional representation of video content through scene graphs that capture spatial relationships, temporal relationships, and semantic attributes. By transforming 2D video frames into a structured 3D-like representation (spatial+temporal+semantic dimensions), the system achieves more sophisticated automated tracking and identification without proportionally increasing computational complexity.
2Manufacturing precision
If elements are replaced or removed seamlessly in videos, then video quality and customization precision are improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary analysis of the video content by pre-identifying objects, extracting features, and constructing scene graphs before the actual replacement or removal operation. This pre-processing stage caches spatial maps, object relationships, and contextual information, enabling rapid and precise element replacement without requiring full re-analysis during the customization process, thus reducing processing time while maintaining high precision.
Solution Approach 2:
The patent creates a virtual copy or representation of the video content in the form of a scene graph and spatial maps. This digital twin allows the system to perform replacement operations on the copy rather than directly manipulating the original video data, enabling precise customization through algorithmic manipulation of the represented data structures while avoiding the computational overhead of processing entire video frames in real-time.
3Measurement precision
If multiple characteristics are observed and tracked for automated identification, then tracking accuracy is improved, but computational complexity and processing requirements increase
Solution Approach 1:
The patent merges multiple identification and tracking functions into a unified scene graph representation that simultaneously captures spatial relationships, temporal relationships, and semantic attributes. Instead of processing characteristics separately through multiple independent systems, the scene graph integrates all observed characteristics into a single structured data structure, reducing computational complexity while maintaining comprehensive tracking accuracy through relational queries and graph traversals.
Data Source
AI summary
The present invention discloses a new method for analyzing, modifying, and distributing digital images and video in a quick, efficient, practical and/or cost-effective way. The method of processing video can take a different region or object and replace the pixels in the frames of the scenes that comprise the features and characteristics of the identified region or object with a different set of pixels. The replacement or other customizations of the frames and scenes lead to a naturally integrated video or image which is indistinguishable by the human eye or other visual system. In one embodiment, this invention can be used to provide different advertising elements into an image or set of images for different viewers, or to enable a viewer to control elements within a video and add their own preference or other elements.