Video Block Quality Determination Using Spatial and Temporal Filters
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Solution Overview
Problem
Existing video encoding techniques face issues with abrupt changes in quality values for objects moving across different blocks, leading to inconsistent visual fidelity across frames, as quality values are set independently for each block without considering the object's continuity across frames.
Innovation Solution
A method is introduced to determine quality values for a subject block by identifying contributing blocks within the same or different frames that are part of the same object, applying spatial and temporal filters to adjust the initial quality value, ensuring a consistent visual representation by blending quality values from contiguous and temporally related blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quality values are set independently for each block without considering object continuity, then the encoding process is simple and fast, but abrupt changes in visual quality occur for objects moving across blocks
Solution Approach 1:
The patent implements feedback by using spatial and temporal filters that analyze quality values from neighboring blocks and previous frames, then adjust the current block's quality value based on this feedback. This ensures objects maintain consistent quality as they move across block boundaries while still allowing independent block processing for efficiency.
Solution Approach 2:
The patent applies local quality by allowing different quality values for different blocks based on their spatial and temporal relationships. Objects moving through multiple blocks receive adapted quality values in each block based on filters applied to contributing blocks, enabling localized quality adjustment without uniform processing across the entire frame.
2Manufacturing precision
If quality values are adjusted using spatial and temporal filters considering object continuity, then visual quality consistency is improved, but the encoding process becomes more complex
Solution Approach 1:
The patent segments the quality adjustment process into distinct spatial and temporal filter operations. By dividing the complex task of maintaining object quality continuity into separate spatial filtering (across blocks in the same frame) and temporal filtering (across frames), the system manages complexity while achieving consistent visual quality for moving objects.
Data Source
AI summary
A technique for determining a quality value for a subject block of encoded video is provided. Contributing blocks, of the same frame and/or different frames of the subject block, are determined by identifying blocks likely to be a part of the same moving object or background as the subject block. A spatial and/or temporal filter is then applied to the quality values of the contributing blocks and an initial quality value of the subject block. With a spatial filter, quality values for contributing blocks from the same frame are combined and used to modify the quality value of the subject block. With a spatial filter, a temporal characteristic quality value for contributing blocks of one or more other frames (such as the immediately previous frame) is determined and then combined with a quality value representative of the subject block.