Content Advisory Ratings XML Schema for Broadcast Service Guides
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Solution Overview
Problem
Current broadcast service guides lack sufficient information for appropriate rendering of content advisory ratings, particularly in handling different rating regions and dimensions, leading to incomplete or inaccurate user experiences.
Innovation Solution
The method involves receiving and decoding a service fragment within a video bitstream, including content advisory ratings elements and attributes, such as RegionIdentifier, RatingDescription, RatedDimensions, and RatingDimVal, to provide comprehensive rating information in an XML schema format, allowing for multiple rating systems and regions to be supported.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If broadcast service guides include comprehensive content advisory ratings information for multiple regions and dimensions, then user experience and information completeness are improved, but data structure complexity and processing requirements increase
Solution Approach 1:
The service guide data is segmented into distinct elements including ContentAdvisoryRatings, RatingRegionTable, and individual rating dimension elements. Each segment handles specific aspects of rating information (region identifiers, dimension types, value ranges), allowing complex multi-regional, multi-dimensional rating data to be organized into manageable, independently processable units that reduce overall structural complexity
Solution Approach 2:
A standardized rating dimension element structure serves as an intermediary between diverse rating systems and the service guide rendering system. This intermediate structure with standardized attributes (dimensionType, minValue, maxValue, step) acts as a universal interface that translates various regional rating formats into a consistent representation, simplifying processing while preserving comprehensive rating information
2Adaptability or versatility
If the service guide supports multiple rating systems and regions with detailed dimensions, then adaptability and user relevance are improved, but decoding and processing time increase
Solution Approach 1:
The RatingRegionTable and rating dimension definitions are prepared and structured in advance within the service guide data before rendering. By pre-organizing rating information with predefined region identifiers, dimension types, and value ranges during data generation, the receiving device can directly parse and render ratings without performing complex real-time analysis, significantly reducing decoding time while maintaining support for multiple rating systems and regions
3Measurement precision
If content advisory ratings include multiple dimensions and regions, then measurement precision and information accuracy are improved, but data quantity and processing load increase
Solution Approach 1:
The service guide implements local quality by providing region-specific rating dimension definitions through the RatingRegionTable. Each region can have customized dimension types, value ranges, and step intervals tailored to local rating standards. This allows precise, localized rating information for each region while using a compact standardized structure that avoids redundant data, optimizing the balance between accuracy and data quantity
Data Source
AI summary
A system for content advisory ratings information.