Dynamic Video Ad Insertion via Preprocessed Target Metadata
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Solution Overview
Problem
Video sharing sites face challenges in generating revenue from on-demand videos as users often ignore side panel ads, and embedded videos may not display ads, leading to missed advertising opportunities.
Innovation Solution
A system that preprocesses videos to track and store metadata on target movement and changes, allowing visual elements like ads to be inserted dynamically when the video is requested, using a video processing server and player that analyze and synthesize ads based on this metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If text ads are displayed in a side panel, then the video sharing site can generate some advertising revenue, but users may easily ignore them and the ads are not displayed when videos are embedded on other websites
Solution Approach 1:
The patent applies preliminary action by preprocessing the video content before distribution to embed target identification data and generate metadata that describes target movement and changes. This allows the advertising insertion system to be prepared in advance, enabling ads to be dynamically inserted into the video content itself rather than relying on side panel displays that may be ignored or not rendered when embedded. The visual elements are prepared to move and change according to the pre-analyzed metadata, ensuring consistent ad display across different platforms.
2Loss of energy
If visual elements are inserted into video content, then advertising revenue can be increased and ads will display when embedded, but the video processing complexity and computational requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the advertising insertion system into distinct functional modules: a video analysis module that preprocesses video content to identify targets and generate metadata, and a visual element insertion module that uses the metadata to insert and animate ads. This segmentation allows the complex task of ad insertion to be broken down into manageable steps, reducing overall system complexity while enabling sophisticated ad integration that moves and changes according to the video content.
Solution Approach 2:
The system performs preliminary video analysis to generate metadata describing target movement and changes before the actual video playback or embedding. This pre-processing step creates a template that guides subsequent ad insertion, avoiding the need for complex real-time processing during video delivery and reducing the computational burden on the distribution system.
3Reliability
If ads are inserted dynamically based on metadata, then ads can move and change as intended to increase effectiveness, but the preprocessing and metadata generation require additional time and computational resources
Solution Approach 1:
The patent resolves this contradiction by performing the computationally intensive video analysis and metadata generation in advance, during a preprocessing phase that occurs before video distribution. This preliminary action ensures that all the complex analysis needed for effective, dynamic ad insertion is completed beforehand, so that during actual video playback or embedding, the system only needs to retrieve the pre-generated metadata and insert the visual elements according to the stored instructions, significantly reducing processing time during delivery.
Data Source
AI summary
Embodiments of this invention relate to preprocessing video such that visual elements, such as advertisements, can be inserted at a later point in time when the video is requested by a user. In an embodiment, a video and target data is received. The video is analyzed to determine how a target moves and changes over time. Metadata describing how the target moves and changes over time is stored. When a user requests an on-demand video such as from a video sharing site, a visual element is inserted into the video. The visual elements move and change as defined in the stored metadata. In this way, advertisements can be inserted into on-demand video such as video from a video sharing website.