Digital Video Image Identification and Alteration System
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Solution Overview
Problem
There is a lack of efficient methods to identify and manipulate images within digital video files after they have been created, particularly for the purpose of product placement and advertising, as existing technologies do not allow for the alteration or modification of images within streaming videos once they are released for viewing.
Innovation Solution
A method using pixel-based pattern or feature recognition protocols to identify and manipulate images within digital video files, allowing users to delete, replace, or add features to images, and alter their environment, enabling interactive manipulation of online digital video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital video files are released for viewing, then they become accessible to viewers through streaming platforms, but they lose the ability to be altered or modified afterward
Solution Approach 1:
The system performs preliminary indexing of images and objects within the video file before it is released for viewing. This pre-processing creates a database of visual elements that enables subsequent manipulation and alteration of specific images even after the video has been distributed and is being streamed to viewers.
2Reliability
If product placement is done during video production, then products appear naturally in scenes, but there is no means to identify or replace products after the video is released
Solution Approach 1:
The system performs preliminary indexing of images and objects within the video file before it is released for viewing. This pre-processing creates a database of visual elements that enables subsequent manipulation and alteration of specific images even after the video has been distributed and is being streamed to viewers.
Solution Approach 2:
The system uses pattern recognition protocols to automatically identify and locate specific images or objects within the video frames. This feedback mechanism allows the system to precisely target and manipulate identified products or images, enabling post-release product placement changes and replacements while maintaining natural appearance.
3Productivity
If advertisers use traditional commercial breaks, then advertising messages are delivered explicitly, but viewers can easily avoid them using DVRs and other means
Solution Approach 1:
The system acts as an intermediary between the original video content and the viewer by automatically identifying, locating, and replacing or supplementing images within the video stream. This mediation enables implicit advertising where promotional content is seamlessly integrated into the video scenes themselves, making it impossible for viewers to skip or avoid the advertising messages even when using DVRs or other ad-skipping technologies.
Data Source
AI summary
A method of identifying distinctive objects or images within a digital video comprises the use of one or more pixel (pel) based “pattern” or “feature” recognition protocols.


