Content Capability Signaling for HDR and WCG Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing content delivery systems face challenges in accurately conveying information about different meaningful presentations of content, leading to potential user confusion and dissatisfaction due to misleading signals regarding content capabilities, such as high dynamic range (HDR) and wide color gamut (WCG), and inefficient filtering and selection of presentations based on user preferences.
Innovation Solution
Implementing enhanced capabilities signaling mechanisms in content delivery systems, such as ATSC 3.0, that allow for improved compression and explicit signaling of content capabilities using intensifiers and an 'also' operator, enabling devices to accurately determine and prioritize presentations that match user preferences and system capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional capabilities signaling mechanisms are used, then the system maintains simplicity and compatibility with existing standards, but the accuracy and completeness of content capability information is insufficient leading to user confusion
Solution Approach 1:
The patent segments capability information into multiple distinct capability terms within the capabilities expression, where each term represents a specific capability requirement (e.g., HDR, WCG, resolution). This segmentation allows precise indication of individual capabilities while maintaining the overall structure needed for accurate content-presentation matching.
Solution Approach 2:
The patent introduces an additional dimension to the capabilities expression by incorporating intensity values for each capability term. This intensity dimension quantifies the degree to which a capability is required or supported, enabling more nuanced and accurate representation of content requirements beyond simple presence/absence indicators.
2Adaptability or versatility
If detailed capability information is provided for all content presentations, then user preference matching improves, but the size and processing complexity of the capabilities expression increases
Solution Approach 1:
The patent changes the parameter representation by using intensity values that can be selectively applied to different capability terms. This allows the system to convey detailed capability information only where necessary, adjusting the level of detail based on the specific content and presentation requirements, thereby optimizing the balance between matching accuracy and expression size.
3Productivity
If multiple capability terms are used to represent different content presentations, then the ability to filter and select presentations improves, but the efficiency of processing and interpreting the capabilities expression decreases
Solution Approach 1:
The patent applies preliminary action by pre-structuring the capabilities expression with standardized capability terms and intensity values before transmission. This pre-organization enables receiving devices to efficiently parse and interpret the expression without requiring complex real-time analysis, thereby improving filtering and selection efficiency while minimizing processing time.
Data Source
AI summary
Selection of a content presentation can involve obtaining a message representative of a plurality of terms including a first term and a second term, wherein the first term indicates a first capability required for a first content presentation and the second term indicates a second capability required for a second content presentation; and enabling selection of a content presentation from among at least the first and second content presentations available based on a content signal, wherein the selection is based on the message.