Secure Video Object Insertion via Resolution Segmentation
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Solution Overview
Problem
Video content owners face challenges in securely and efficiently inserting visual objects into video content due to large data sizes and security risks associated with transmitting high-resolution video to external specialists for analysis and insertion.
Innovation Solution
A method where a low-resolution version of the video is initially sent for analysis to identify suitable insertion zones, followed by the insertion of visual objects into high-resolution versions of selected frames, which are then returned and integrated into the final high-resolution video by the content owner, reducing data transmission and security risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution video is transmitted to external specialists for analysis and object insertion, then visual object insertion quality is improved, but data transmission overhead and security risks increase
Solution Approach 1:
The video processing workflow is segmented into two stages: first, low-resolution video is transmitted for analysis and insertion zone identification; second, only the identified insertion zones from the low-resolution video are extracted and transmitted at high resolution for actual object insertion. This segmentation reduces overall data transmission while maintaining insertion quality.
Solution Approach 2:
The essential information for object insertion (insertion zones, timing, positioning data) is extracted from the low-resolution video analysis and separated from the full high-resolution video data. Only this extracted insertion data plus the specific high-resolution frames needing modification are transmitted, rather than the entire high-resolution video.
2Manufacturing precision
If high-resolution video is transmitted to external specialists for analysis and object insertion, then visual object insertion quality is improved, but security risks and piracy exposure increase
Solution Approach 1:
The video data is segmented by resolution and purpose: low-resolution video is used for analysis (exposing minimal content), while high-resolution video is kept secure and only specific frames are transmitted for insertion. This segmentation limits the exposure of sensitive high-resolution content to external specialists.
Solution Approach 2:
The critical insertion information (zone coordinates, timing, positioning) is extracted from the low-resolution analysis and used to guide the secure high-resolution processing. This extraction allows external specialists to work with minimal secure data while still achieving high-quality results.
3Loss of energy
If low-resolution video is used for analysis, then data transmission overhead is reduced, but insertion zone identification accuracy may deteriorate
Solution Approach 1:
Different resolution qualities are applied to different parts of the video processing workflow: low resolution is sufficient for identifying insertion zones and timing, while high resolution is applied only to the specific frames and zones where actual object insertion occurs. This local quality differentiation optimizes both transmission efficiency and insertion accuracy.
Solution Approach 2:
The low-resolution video is processed in advance to identify insertion zones, timing, and positioning information before any high-resolution processing occurs. This preliminary action with low-resolution data guides the subsequent high-resolution insertion process, ensuring accuracy without transmitting large amounts of high-resolution data upfront.
Data Source
AI summary
This disclosure relates to the embedding of visual objects into the image content of a video by a visual embed specialist, whilst maintaining the security of the video. A low-resolution version of the video content is sent by the video owner to the specialist for analysis to identify parts of the video that are suitable for visual object insertion. A high resolution version of those identified parts of the video is then sent to the specialist for visual object insertion. The specialist may then return the modified parts of the video and the content owner create a final version of the high-resolution video by replacing the relevant parts of the high-resolution video with the modified parts.