Dynamic Video Object Insertion via Placeholders
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Solution Overview
Problem
Current advertisement models for video-based content are intrusive and fail to effectively integrate additional content, such as advertising, into video streams, disrupting the viewer experience and not tailored to the content's context.
Innovation Solution
A computerized apparatus and method that creates placeholders within video frames to seamlessly insert objects, using video metadata and tracking data to ensure the object's consistency with the video environment, and a matching module to select objects based on user demographics and video attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If intrusive advertisement elements (pre/post rolls, ticker banners) are added to video content, then advertisement revenue is increased, but viewer experience is degraded
Solution Approach 1:
The video content is segmented into multiple frames, and advertisement objects are selectively inserted into specific frames rather than adding intrusive elements to the entire video. This allows advertisement content to be distributed throughout the video in a non-intrusive manner, maintaining viewer experience while delivering ad revenue.
Solution Approach 2:
Different regions of video frames are analyzed to identify suitable locations for advertisement insertion. The system evaluates local characteristics of different frames and selects optimal regions where advertisement objects can be placed without disrupting the viewer experience, rather than uniformly adding ads throughout the video.
2Quantity of substance
If advertisement objects are inserted into video frames, then advertisement effectiveness is improved, but consistency with video environment is compromised
Solution Approach 1:
The system modifies the visual characteristics of inserted advertisement objects to match the local environment of the video frame. This includes adjusting color, brightness, and other visual properties so that advertisement objects blend seamlessly with the surrounding video content, maintaining environmental consistency while delivering ad content.
Solution Approach 2:
The advertisement insertion system dynamically analyzes each video frame to determine optimal insertion points and adjusts the placement, sizing, and visual characteristics of advertisement objects based on the specific content and context of each frame. This dynamic adaptation ensures that ads remain consistent with the varying environment throughout the video.
3Stability of the object's composition
If manual placement of advertisement objects is performed, then environmental consistency is improved, but processing time is increased
Solution Approach 1:
The system automatically analyzes video frames, identifies suitable placement locations, and inserts advertisement objects without requiring manual intervention. The automated process evaluates frame characteristics, selects optimal positions, and performs insertion while maintaining environmental consistency, significantly reducing processing time compared to manual methods.
Solution Approach 2:
The manual mechanical process of placing advertisement objects is replaced with an automated computer-based system that uses image processing and analysis algorithms. This substitution eliminates the time-consuming manual operation while maintaining or improving the quality of environmental consistency through systematic automated evaluation of each frame.
4Productivity
If generic advertisement matching is used, then processing speed is improved, but relevance to video content is degraded
Solution Approach 1:
The system changes the matching parameters from generic keywords to frame-specific visual and contextual characteristics. By analyzing the actual content of each video frame and adapting matching criteria accordingly, the system achieves both fast processing through automated parameter adjustment and high content relevance through context-aware selection of advertisement objects.
Data Source
AI summary
Enriching video-based content with additional content is enabled by defining metadata for a video comprising a place holder and matching attribute. When the video is viewed, a matching server is utilized to select an object to be inserted in the place holder according to the matching attribute. The matching server selects the object according to video content, represented by matching attribute, according to user related information, and according to type of place holder. The place holder may be utilized to dynamically insert an interactive object to the video. The inserted object may be seamlessly inserted to the video.


