Video Decoding Using Conditional MSB Information for Long-Term Reference Picture Set Construction
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Solution Overview
Problem
Existing video decoding methods struggle to construct a long-term reference picture set when a non-reference picture is discarded, and they lack a condition for receiving LSB information for constructing this set.
Innovation Solution
A video decoding method that decodes a bit stream by receiving reference picture set (RPS) information, including most significant bit (MSB) information for calculating the MSB of a picture order count (POC) of a long-term reference picture (LTRP) and flag information indicating the presence of MSB information. The method derives the RPS using the received MSB information and marks reference pictures accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a non-reference picture is discarded to simplify the decoding process, then the decoding complexity is reduced, but the ability to construct a long-term reference picture set is lost
Solution Approach 1:
The patent performs preliminary actions by checking whether a non-reference picture can be discarded before proceeding with decoding. It evaluates conditions such as whether the picture is the first non-reference picture, whether long-term reference pictures are already present in the set, and whether discarding would affect decodability. This preliminary assessment ensures that reference picture set construction is maintained while allowing discarding when safe, thus resolving the contradiction between simplification and reliability.
2Measurement precision
If MSB information is always received for LTRP POC calculation, then the precision of reference picture identification is improved, but the bit stream overhead increases
Solution Approach 1:
The patent applies partial action by conditionally receiving MSB information only when necessary. It determines whether to request MSB based on whether the current picture is a random access picture, whether long-term reference pictures are already in the set, and other contextual factors. This selective approach ensures precise reference picture identification when needed while minimizing bit stream overhead by avoiding unnecessary MSB transmissions, thus resolving the contradiction between precision and information loss.
Data Source
AI summary
Disclosed is a video decoding method which includes receiving reference picture set (RPS) information for constructing an RPS for a current picture, the RPS information comprising most significant bit (MSB) information for calculating an MSB of a picture order count (POC) of a long-term reference picture (LTRP) for the current picture and flag information indicating whether the MSB information is present; and deriving the RPS using the received MSB information and marking a reference picture when the flag information is 1, the flag information equal to 1 if there is more than one POC in a previous picture POC set comprising POCs relating to a previous picture that has a temporal sub-layer identifier equal to 0 and cannot be discarded without affecting decodability of another picture in the same temporal layer for which the POC modulo MaxPicOrderCntLsb is equal to an LSB of the POC of the LTRP, MaxPicOrderCntLsb is the max least significant bit (LSB) value.