Automated Video Rights Customization via Segment Replacement
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Solution Overview
Problem
The existing methods for customizing video content for different target audiences are labor-intensive and resource-consuming, limiting market penetration and potential revenue streams due to the need for manual processing.
Innovation Solution
A system and method for multiple rights-based video processing, which uses a workstation, server, and databases to analyze and customize video assets by replacing specific segments based on regional or other criteria, allowing automated generation and distribution of customized videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual video processing workflows are used to customize video content for different target audiences, then video content can be appropriately customized for different markets, but the process becomes time-consuming and labor-intensive, significantly increasing resources required
Solution Approach 1:
The patent segments video content into modular components with associated metadata tags that identify applicable target audiences. This segmentation allows the video to be dynamically reassembled for different markets without manual processing, resolving the contradiction between customization adaptability and productivity by enabling automated composition of customized content from pre-segmented elements.
Solution Approach 2:
The patent performs preliminary actions by pre-tagging video content with metadata during the creation phase, identifying different target audiences and applicable segments before distribution. This advance preparation eliminates the need for time-consuming manual customization later, allowing rapid generation of market-specific versions and thereby improving productivity while maintaining adaptability.
2Adaptability or versatility
If manual video processing workflows are used to customize video content for different target audiences, then video content can be appropriately customized for different markets, but the process becomes labor-intensive, significantly increasing resources required
Solution Approach 1:
The patent creates digital copies of video content with different metadata configurations for different target audiences. Instead of manually processing and recreating content for each market, the system generates multiple customized versions through automated copying and metadata assignment, dramatically reducing the human resources required while maintaining full customization capability across multiple markets.
3Adaptability or versatility
If manual video processing workflows are used to customize video content, then video content can be appropriately customized for different markets, but budget and scheduling considerations force restriction to specific audiences, limiting market penetration
Solution Approach 1:
The patent replaces the mechanical manual video processing system with an automated computational system that uses metadata tags and algorithms to identify and assemble appropriate video segments for different target audiences. This substitution eliminates time-consuming manual operations, enabling rapid customization that fits within budget and scheduling constraints while expanding market penetration opportunities.
Data Source
AI summary
There is provided a system and method for multiple rights based video. Source video assets may be analyzed to identify segments associated with a restricted scope of rights, and replacement assets associated with rights of different restrictions may be provided. When a request is received to serve a particular source video asset, a correspondingly customized video asset may be constructed by analyzing the rights available to the target of the request and the associated rights of the available replacement assets. Multiple parameters may be utilized in such analysis, and may include criteria such as territorial region, audience age, paid subscription level, and intended distribution channel. Since video can be optimized for different targets largely automatically, wider distribution of content may be possible under stricter budget and schedule constraints. Potential benefits may include increased revenue streams, market penetration, and brand recognition.