Customized Digital Video Scene Sequencing via Modular Selection
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Solution Overview
Problem
Existing digital video productions lack customization for individual viewers, presenting the same content regardless of viewer preferences, even when allowing module selection, resulting in a non-personalized experience.
Innovation Solution
Designing digital video works with a combination of fixed and alternative scenes that can be automatically selected based on viewer information, ensuring customization while maintaining a seamless continuous presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital video works are produced with fixed scene sequences for all viewers, then production complexity is reduced and delivery is simplified, but viewer customization and personalization are lost
Solution Approach 1:
The digital video work is segmented into modular scenes that can be independently selected and arranged. Each scene is a discrete unit that can be customized based on viewer preferences, allowing the system to assemble personalized sequences from pre-produced modular components without requiring complete re-production for each viewer.
Solution Approach 2:
The scene sequence structure is made dynamic and adjustable based on viewer characteristics. The system can adaptively select and reorder scenes according to viewer preferences, demographics, and behavior data, transforming a static fixed sequence into a dynamic personalized experience while maintaining production efficiency.
2Adaptability or versatility
If alternative scenes are added to enable viewer customization, then personalization capability is improved, but the structure of the video work becomes more complex
Solution Approach 1:
Different scenes within the video work are assigned different qualities and attributes based on their suitability for various viewer segments. Each scene is tagged with metadata describing its characteristics, target audience, and contextual appropriateness, enabling the selection system to choose the right scene for the right viewer without requiring a complete structural overhaul.
Solution Approach 2:
The scene structure is designed to serve multiple functions simultaneously. Scenes can be used in different contexts and sequences for different viewer types, and the same scene may serve multiple purposes in the overall narrative. This multi-functionality reduces the need for completely separate scene sets for different viewer categories.
3Productivity
If scenes are customized based on viewer information, then viewer engagement and relevance are enhanced, but processing requirements and system complexity increase
Solution Approach 1:
Viewer profiles, preferences, and demographic information are collected and processed in advance before video delivery. The system pre-analyzes viewer characteristics and pre-determines appropriate scene selections, so that during actual video playback, the customization process is rapid and efficient, minimizing real-time processing requirements.
Solution Approach 2:
The system incorporates feedback mechanisms that track viewer responses and behavior during video playback, using this information to refine future scene selections and personalization decisions. This feedback loop enables continuous improvement of customization accuracy without requiring increasing system complexity, as the learning process becomes more efficient over time.
Data Source
AI summary
Methods for producing a digital video work to be presented in potentially viewable scenes with the ability to customize the scene sequences presented to individual viewers based upon expressed or imputed viewer preferences, and to the articles on which such work is stored and played. The content of the scene sequences may vary to match viewer preferences while maintaining the overall message of the digital video work.