Automated Media Publishing With Editorial Rendition Rules
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Solution Overview
Problem
Current media publishing workflows are time-consuming, complex, and error-prone, especially as the number of media deliverables increases, limiting the ability of creative editors to express their choices in the downstream rendering process and resulting in inefficiencies and reduced quality of media deliverables.
Innovation Solution
The introduction of editorial rendition rules that allow editors to specify how renditions should be generated, which are then interpreted by a rendition engine to produce high-quality media deliverables tailored to specific consumption contexts, using original source assets and metadata to ensure creative intent is maintained throughout the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual media publishing workflows are used, then editors can manually control each deliverable, but the process becomes time-consuming and complex as the number of deliverables increases to dozens or hundreds
Solution Approach 1:
The system performs preliminary actions by having editors specify editorial rendition rules and tagging compositional objects with rendering decisions during the editorial stage. These preliminary specifications are stored and automatically executed later by the rendition engine when generating deliverables, eliminating the need for manual intervention in each rendering process and enabling efficient batch processing of multiple deliverables
Solution Approach 2:
The rendition engine automatically generates multiple renditions and deliverables based on the previously specified editorial rules and compositional object tags. The system serves itself by autonomously interpreting the stored editorial intent and executing the rendering process without requiring continuous manual control, thereby significantly improving productivity while maintaining quality
2Manufacturing precision
If editors specify detailed rendering decisions for each deliverable, then creative intent is maintained, but the workflow becomes complex and error-prone
Solution Approach 1:
The system segments the rendering control into two distinct layers: editorial rendition rules that define the creative intent and rendering logic, and technical rendition parameters that define the output specifications. This segmentation allows editors to work at the editorial layer without being burdened by technical complexities, while the rendition engine handles the coordination of both layers to produce accurate deliverables
Solution Approach 2:
The compositional object acts as an intermediary between the editorial intent and the rendering process. By tagging compositional objects with editorial rendition rules and rendering decisions, the system creates a structured intermediate representation that captures creative intent in a machine-readable format, simplifying the workflow while maintaining precision
3Adaptability or versatility
If multiple versions and formats are generated for different venues and platforms, then media is optimized for each consumption context, but the number of deliverables proliferates to dozens or hundreds
Solution Approach 1:
The system creates a universal compositional object structure that can serve multiple functions across different platforms and venues. By defining editorial rendition rules and tagging compositional objects at a higher level of abstraction, the same compositional object can be rendered into multiple formats and versions automatically, reducing deliverable management complexity while maintaining platform-specific optimization
Data Source
AI summary
The described methods, systems, and computer program products enable media composition editors to tag compositional objects with editorial rendition rules that specify how rendering decisions are to be made and how source media assets are to be selected and processed to generate an output rendering of a media composition that adheres to the editor's rendition-related choices. The editorially-specified rendition rules include spatial-type rules, temporal-type rules, and color-type rules, and generally pertain to the spatial, temporal, and color ranges and resolutions to be included within a rendition. When a rendition of a media composition is to be generated, a rendition engine interprets and applies the editorial rendition rules to generate and output the rendition in accordance with rendition parameters supplied to the rendition engine by a rendition profile, and, in some cases, by the media composition and the source media assets.