Adaptive Bitrate Ladder Compression for Source-Quality IPTV Streaming
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Solution Overview
Problem
Existing adaptive bitrate (ABR) streaming systems face inefficiencies due to inaccurate metadata in user-generated content (UGC), leading to unnecessary resource consumption and poor quality optimization, particularly in IPTV and OTT providers, as they encode content based on misleading quality indicators, resulting in higher bitrates and resolutions that do not enhance video quality.
Innovation Solution
Systems and methods are developed to assess the actual quality of UGC by analyzing visual characteristics rather than metadata, determining the optimal bitrate-resolution pairs for each content portion, and dynamically adjusting ABR ladders based on the source content's quality, minimizing resource usage while maximizing quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If content is encoded at high bitrate and resolution based on metadata, then the encoded content may appear to have high quality, but the actual quality does not improve due to limited source quality
Solution Approach 1:
The patent replaces metadata-based quality assessment with visual characteristic analysis. Instead of relying on encoded information in metadata that may be inaccurate, the system directly analyzes visual properties of video frames (such as blur, artifact detection, and spatial frequency) to determine actual source quality, thereby substituting an unreliable information system with a direct measurement system
Solution Approach 2:
The patent introduces an intermediary quality assessment system that analyzes visual characteristics between the source content and the encoding process. This intermediary analysis provides accurate quality measurement that mediates between the actual source limitations and the encoding decisions, preventing unnecessary high-bitrate encoding of low-quality sources
2Adaptability or versatility
If content is re-encoded at multiple resolutions and bitrate levels, then adaptive bitrate streaming can accommodate varying bandwidth conditions, but computing resources are wasted on low-quality source content
Solution Approach 1:
The patent applies local quality assessment to different portions of content, determining that each segment may have different source qualities. Instead of uniformly encoding all content at multiple high resolutions, the system selectively applies multi-resolution encoding only to portions that actually benefit from it, leaving low-quality portions at lower resolutions to save computing resources
Solution Approach 2:
The patent dynamically changes encoding parameters (resolution, bitrate) based on the assessed source quality. For low-quality sources, the system reduces the number of resolution levels and bitrate options in the ABR ladder, while for high-quality sources, it maintains comprehensive multi-resolution encoding, thereby adapting resource usage to actual content needs
3Reliability
If metadata indicates high quality encoding, then the system may allocate higher bitrate, but this preserves undesirable artifacts from low-quality sources
Solution Approach 1:
The patent converts the harmful effect of inaccurate metadata into a benefit by using visual characteristic analysis to detect and characterize artifacts. Instead of blindly trusting metadata that may indicate high quality, the system analyzes visual patterns to identify artifact types and uses this information to make informed encoding decisions that prevent artifact preservation while maintaining reliable quality indication
Data Source
AI summary
Systems and methods are disclosed for generating an adaptive bitrate ladder for a content item based on the actual quality of the content item. A broadcaster determines a quality score of a content item and multiplexes a message indicating the quality score with data packets of the content item to a headend. The headend uses the quality score to determine an ABR ladder with a set of bitrates for the content item. The headend then transcodes the content item into the set of bitrates. The headend then transmits a plurality of network addresses, each corresponding to a stream at a particular bitrate, to a user gateway to enable the user gateway to make the streams available.


