Multimedia Composition System for Personalized Content Generation
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Solution Overview
Problem
Commercial multimedia content is typically generalized and not tailored to individual users' interests or preferences, lacking personalization despite advancements in user data analysis.
Innovation Solution
A multimedia composition system that generates a swap list of potential match points in a multimedia template, matches metadata of personal multimedia assets with commercial content, and composes blended multimedia by swapping objects, scenes, or assets to create personalized content based on user metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If commercial multimedia content is delivered in a generalized manner to large groups, then distribution efficiency is improved, but content personalization deteriorates
Solution Approach 1:
The patent segments commercial multimedia content into modular components (video segments, audio segments, imagery, text) that can be independently selected and recombined. This allows the system to efficiently distribute standardized content modules while dynamically assembling personalized versions for individual users, resolving the contradiction between distribution efficiency and content personalization.
Solution Approach 2:
The system dynamically assembles personalized multimedia content by selecting and combining pre-produced commercial content modules with user-specific elements in real-time. This dynamic composition enables efficient distribution of standardized modules while creating customized experiences for each user, maintaining both distribution efficiency and content adaptability.
2Adaptability or versatility
If actual content is altered to personalize for individual users, then content relevance is improved, but system complexity deteriorates
Solution Approach 1:
The patent performs preliminary actions by pre-producing and storing commercial multimedia content in standardized, modular formats with clearly defined interfaces. This advance preparation of content modules simplifies the personalization process, as the system only needs to assemble pre-validated components rather than create content from scratch, reducing system complexity while maintaining content relevance.
Solution Approach 2:
The system introduces an intermediary composition layer that sits between standardized commercial content modules and user-specific personalization requirements. This intermediary assembly process simplifies complexity by handling all content integration logic in a centralized manner, allowing straightforward combination of modules with user elements without requiring complex modifications to the underlying content structures.
3Measurement precision
If metadata matching is performed to match personal multimedia assets with commercial content, then matching precision is improved, but processing time deteriorates
Solution Approach 1:
The patent applies partial matching by focusing metadata comparison on key discriminative attributes rather than performing exhaustive full-content analysis. This selective metadata matching achieves sufficient precision for content-personalization purposes while significantly reducing processing time compared to complete content comparison, resolving the contradiction between matching precision and processing efficiency.
Data Source
AI summary
In one embodiment, a method of blending multimedia with a multimedia composition system may include generating a swap list by identifying potential match points of objects, scenes, or assets, in a multimedia template that are capable of being replaced with personal multimedia assets (PMA) in a user's collection, generating a composition list by designating particular PMA from the PMA in the user's collection to replace at least a portion of the objects, scenes, or assets in the multimedia template identified in the swap list by matching metadata of the particular PMA with metadata of the objects, scenes, or assets in the multimedia template, and composing blended multimedia using the composition list by swapping the objects, scenes, or assets in the multimedia template with the particular PMA matched based on the respective metadata.