Reference Picture List Construction for Inter Prediction Efficiency
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Solution Overview
Problem
Existing video compression technologies face challenges in efficiently processing next-generation video content with high-spatial resolution, high-frame rate, and high dimensionality, requiring improved prediction methods to reduce resource usage and enhance coding efficiency.
Innovation Solution
A method and device for constructing a reference picture list in video signals using inter prediction, which involves determining the type and number of entries in the list based on picture order count (POC) differences and modulo values, and encoding/decoding this information to optimize memory usage and reduce syntax elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive reference picture list is constructed to handle high-spatial resolution and high-frame rate video content, then prediction accuracy is improved, but memory usage and processing complexity increase
Solution Approach 1:
The reference picture list is segmented into two distinct types: short-term reference pictures (STRP) and long-term reference pictures (LTRP). This segmentation allows the system to manage reference pictures differently based on their temporal characteristics, reducing processing complexity while maintaining prediction accuracy for high-resolution video content.
Solution Approach 2:
Different reference picture types are assigned different properties and management strategies. STRP uses POC difference for reference picture marking while LTRP uses POC modulo value, allowing each type to be optimized for its specific usage pattern in high-frame rate video processing.
2Measurement precision
If the reference picture list includes more entries to capture high-frame rate content, then prediction accuracy is improved, but memory storage requirements increase
Solution Approach 1:
By segmenting reference pictures into STRP and LTRP categories, the system can selectively manage and store only the necessary reference pictures for high-frame rate content, reducing overall memory requirements while maintaining sufficient reference material for accurate prediction.
Solution Approach 2:
The system changes the parameter used for reference picture marking based on type: POC difference for STRP and POC modulo value for LTRP. This parameter change enables efficient memory management and reduces the number of pictures that need to be stored and processed.
3Measurement precision
If detailed reference picture list construction is performed to handle high-spatial resolution content, then prediction accuracy is improved, but syntax elements and data overhead increase
Solution Approach 1:
The reference picture list is segmented into STRP and LTRP entries, each with specific syntax elements. This segmentation allows for more efficient syntax encoding by only including necessary parameters for each picture type, reducing overall data overhead while maintaining prediction accuracy for high-spatial resolution content.
Solution Approach 2:
Different syntax elements are applied locally to different reference picture types: POC difference for STRP entries and POC modulo value for LTRP entries. This localized approach reduces the amount of syntax information needed compared to a uniform approach, thereby reducing data overhead.
Data Source
AI summary
Embodiments of the disclosure provide methods and devices for decoding video signals using inter prediction. According to an embodiment of the disclosure, a method for processing a video signal comprises constructing a reference picture list of a current picture in the video signal and performing a prediction for a current picture by using the reference picture list, wherein constructing the reference picture list comprising, if a first entry of the reference picture list corresponds to a short-term reference picture (STRP), obtaining a picture order count (POC) difference between a picture related to the first entry and another picture, and if a second entry of the reference picture list corresponds to a long-term reference picture (LTRP), obtaining a POC modulo value of a picture related to the second entry. A reference picture list for identifying a picture may be generated in a simplified and effective manner.