Video Object Replacement Using 3D Scene Mapping and Pre-Analysis
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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 these elements without human intervention.
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 applies algorithms for rapid replacement or removal of elements, utilizing scene and identification databases for efficient processing and customization.
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
Solution Approach 1:
The system segments video content into discrete scenes, objects, and features that can be independently identified and tracked. This segmentation allows the complex video customization task to be broken down into manageable components, each handled by specialized algorithms (e.g., SIFT for feature detection, DRIFT for tracking), thereby improving customization capability while organizing system complexity into modular units.
Solution Approach 2:
The system performs preliminary identification and tracking of scenes, objects, and features during the video encoding phase. By pre-processing and cataloging video elements before customization is needed, the system establishes a ready-to-use database of video components, which simplifies subsequent customization operations and reduces real-time processing complexity.
2Measurement precision
If multiple characteristics are observed and tracked for each element, then identification accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary observation and tracking of multiple characteristics (position, dimension, reflection, lighting, shadows, warping, rotation, blurring, occlusion) during the video encoding phase. By pre-processing and storing these characteristics in a database, the system avoids the need to recalculate them during customization, thereby maintaining high identification accuracy while significantly reducing processing time for subsequent operations.
Solution Approach 2:
The system applies different levels of characteristic tracking to different video elements based on their importance and visual salience. Critical elements such as logos and product placements receive comprehensive multi-characteristic tracking, while less important background elements receive simplified tracking. This selective approach maintains identification accuracy for key elements while reducing overall processing time.
3Manufacturing precision
If video is processed frame-by-frame with full analysis, then customization precision is improved, but processing speed decreases
Solution Approach 1:
The system performs preliminary frame-by-frame analysis during the video encoding phase to identify scenes, objects, and their characteristics. This pre-processing creates a structured database of video elements that can be quickly queried and modified during customization. The full analysis is done once in advance, allowing rapid customization operations without sacrificing precision.
Solution Approach 2:
The system segments the video into scenes and identifies stable regions within frames that are suitable for customization. By pre-identifying these regions and their boundaries, the system avoids the need for repeated full-frame analysis during customization operations. This segmentation approach maintains customization precision for target elements while dramatically improving processing speed for subsequent modifications.
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.