Video Encoding Resizing Reference Pictures for Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video encoding and decoding methods face inefficiencies in handling pictures of different sizes, particularly in achieving high compression efficiency and accurate reconstruction, as they often require complex interpolation filters and storage of multiple resolutions, which increases computational complexity and storage needs.
Innovation Solution
The method involves dynamically re-scaling original pictures to match the size of reference pictures during encoding and decoding using upsampling filters, allowing for on-the-fly re-scaling during motion compensation, and storing reconstructed parts in a decoded picture buffer for future use, while classifying samples to determine optimal filters for encoding and decoding operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If complex interpolation filters are used to handle pictures of different sizes, then reconstruction accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent changes the parameter of picture size by dynamically resizing reference pictures to match the current picture size during decoding. This allows the use of standard interpolation filters without requiring complex multi-resolution handling, thereby maintaining reconstruction accuracy while reducing computational complexity.
Solution Approach 2:
The patent implements dynamic resizing of reference pictures based on the size of the current picture being decoded. This dynamic adaptation eliminates the need for pre-stored multiple resolution versions and complex filter selection, simplifying the decoding process while maintaining accuracy.
2Manufacturing precision
If multiple resolutions are stored to handle pictures of different sizes, then reconstruction accuracy is improved, but storage requirements increase
Solution Approach 1:
Instead of storing multiple static resolution versions of reference pictures, the patent dynamically resizes a single reference picture to match the current picture size during decoding. This eliminates the need for multiple storage buffers while maintaining the ability to handle variable picture sizes accurately.
Solution Approach 2:
The patent creates a resized copy of the reference picture dynamically during the decoding process rather than storing multiple pre-prepared copies. This on-demand copying approach reduces storage requirements while maintaining reconstruction quality.
3Productivity
If dynamic re-scaling with upsampling filters is used during encoding/decoding, then compression efficiency is improved, but filter selection complexity increases
Solution Approach 1:
The patent changes the size parameter of reference pictures dynamically during decoding to match the current picture size. This eliminates the need for complex filter selection across multiple resolutions, as standard upsampling filters can be applied uniformly to the resized reference picture, thereby improving compression efficiency without increasing filter selection complexity.
Data Source
AI summary
A method for reconstructing at least one part of a first picture, from at least one part of a second picture is provided, said first picture and said second picture having different sizes. The reconstructing comprising decoding said second picture from a bitstream and determining at least one first sample of said at least one part of the first picture using at least one resampling filter applied to at least one second sample of said at least one part of the decoded second picture. A corresponding apparatus for reconstructing at least one part of a first picture is provided. A method for encoding/decoding a video, and corresponding apparatuses, are provided which comprise the reconstructing at least one part of a first picture, from at least one part of a second picture, said first picture and said second picture having different sizes.