Multiview Video Decoding Reference Picture Management
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Solution Overview
Problem
Current multiview video signal processing techniques are inefficient in decoding multiview video signals, particularly in handling inter-view dependencies and stereo video profiles, leading to increased bit transmission and decoding burden.
Innovation Solution
A method and apparatus for decoding multiview video signals by defining profile information indicating stereo video, using inter-view prediction flags, and managing reference pictures based on profile information to enhance coding efficiency and reduce bit transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional multiview video signal processing techniques are used, then decoding can be performed, but decoding efficiency is low and the burden on the decoded picture buffer is high
Solution Approach 1:
The patent segments the reference picture management by introducing separate reference picture lists (List 0 and List 1) for different view types. Base views maintain traditional reference picture lists while non-base views use dedicated inter-view reference picture lists, dividing the complex multiview decoding task into manageable segments with different reference management strategies.
Solution Approach 2:
The patent implements dynamic reference picture list construction where the composition of reference picture lists changes based on the view type (base view vs. non-base view) and picture type (I picture, P picture, B picture). This dynamic adaptation optimizes the decoding process for different scenarios, improving overall decoding efficiency while managing buffer resources effectively.
2Productivity
If inter-view prediction is implemented without optimized reference picture management, then coding efficiency can be improved, but the number of bits to be transmitted increases
Solution Approach 1:
The patent extracts and transmits only the necessary inter-view reference picture information for non-base views, rather than transmitting complete reference picture lists for all views. By identifying and transmitting only the essential reference picture indices and parameters needed for inter-view prediction, the patent reduces bit transmission while maintaining coding efficiency.
Solution Approach 2:
The patent changes the parameter representation for reference pictures in inter-view prediction by using compact indexing schemes and selective transmission of reference picture parameters. Instead of transmitting full reference picture data, the patent uses optimized parameters (such as view index, picture order count, and selective motion vector information) to enable efficient inter-view prediction with reduced bit rate.
3Reliability
If comprehensive reference picture management is implemented for all views, then decoding accuracy is maintained, but processing complexity increases
Solution Approach 1:
The patent applies different reference picture management strategies to different local regions of the multiview video data. Base views receive traditional comprehensive reference picture management ensuring high decoding accuracy, while non-base views use optimized inter-view reference picture lists that reduce processing complexity. This localized differentiation maintains overall decoding accuracy while reducing global processing complexity.
Data Source
AI summary
A method for processing a multi-view video stream includes receiving the multi-view video stream including a random access picture, the random access picture including a random access slice referring to slices existing at a same time in a different view only, receiving identification information indicating that the received multi-view video stream is a stereo video bitstream, obtaining flag information indicating whether the random access picture is used for inter-view prediction based on the flag information, determining initialization information of a reference picture list of the random access picture based on the flag information, initializing the reference picture list of the random access picture using the initialization information, determining a prediction value of a macroblock in the random access picture based on the initialized reference picture list, and decoding the macroblock using the prediction value of the macroblock.