Dynamic Media Content Adaptation via Object Segmentation
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Solution Overview
Problem
Current multimedia distribution systems fail to dynamically adapt media content to the user's context, resulting in a static viewing experience that does not account for the viewer's preferences or current situation.
Innovation Solution
The system analyzes metadata associated with media content to identify replaceable objects, determines attributes, and substitutes these objects with more relevant ones based on user and context criteria, generating an augmented version of the content for improved relevance and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If media content is distributed as static fixed content, then distribution system complexity is reduced, but user experience adaptability deteriorates
Solution Approach 1:
The media content is segmented into base content and replaceable objects. The base content remains static and is distributed once, while replaceable objects are stored separately and can be dynamically substituted based on user context. This segmentation allows the system to maintain simplicity in content distribution while enabling adaptability through object replacement.
Solution Approach 2:
Replaceable objects are extracted from the static media content and stored separately as metadata or associated data. This extraction allows the main content to remain simple and static while the replaceable elements provide the necessary adaptability. The extracted objects can be selectively applied based on user preferences and viewing context.
2Ease of operation
If media content is made dynamically adaptable to user context, then user experience quality is improved, but content processing complexity increases
Solution Approach 1:
The system performs preliminary analysis of media content to identify replaceable objects and their attributes during content ingestion. This preliminary action stores the necessary metadata and object information in advance, so that during actual content delivery, the system can quickly substitute objects based on user context without performing complex analysis in real-time, thus reducing processing complexity during playback.
Solution Approach 2:
Instead of creating entirely new dynamic content versions, the system uses copies or representations of replaceable objects that can be substituted into the base content. These copies are stored as metadata or associated data and can be rapidly exchanged based on user preferences, avoiding the need for complex real-time content generation while maintaining high user experience quality.
3Manufacturing precision
If replaceable objects are identified and substituted in real-time, then content relevance is improved, but processing time increases
Solution Approach 1:
The system performs object identification and attribute analysis during the content ingestion phase, storing the results as metadata. This preliminary action eliminates the need for real-time analysis during content delivery, significantly reducing processing time while maintaining high content relevance through pre-identified replaceable objects that can be quickly substituted based on user context.
Data Source
AI summary
Methods and systems are provided for presenting media content capable of being dynamically adapted. One method involves analyzing content of a media program to identify a replaceable object at a spatial location within the content at a temporal location within the content, analyzing the spatial location of the content corresponding to the replaceable object within the content to identify one or more attributes of the replaceable object, identifying a substitute object based at least in part on the one or more attributes associated with the replaceable object, augmenting the temporal location of the content to include the substitute object at the spatial location within the content in lieu of the replaceable object, and providing the augmented version of the content to a media player for presentation.


