Last Coefficient Position Coding for Lower-Bitrate Video Blocks
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Solution Overview
Problem
Existing video coding systems face complexity and inefficiency in coding last significant coefficient position information and significant coefficient position information, leading to higher bitrates and increased complexity in compression processes.
Innovation Solution
Coding the last significant coefficient position information prior to coding significant coefficient position information, using methods such as one-dimensional or two-dimensional positioning within the block, or flagging its location within a range, to enable parallel coding and reduce system complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If last significant coefficient position information and significant coefficient position information are coded in an interleaved manner, then coding accuracy is maintained, but system complexity and bitrate increase
Solution Approach 1:
The patent segments the coding process into two distinct parts: first coding the last significant coefficient position information, then coding the significant coefficient position information. This segmentation allows each part to be processed independently with optimized coding strategies, reducing overall system complexity while maintaining accuracy.
Solution Approach 2:
The patent applies preliminary action by first determining and coding the last significant coefficient position before processing other significant coefficients. This preliminary step provides context and constraints that simplify subsequent coding operations, reducing complexity while preserving coding precision.
2Measurement precision
If last significant coefficient position information and significant coefficient position information are coded in an interleaved manner, then coding accuracy is maintained, but bitrate increases
Solution Approach 1:
By segmenting the coding into separate stages (last significant coefficient position first, then other significant coefficients), the patent enables more efficient bit allocation and compression strategies for each segment, reducing overall bitrate while maintaining the precision needed for accurate coefficient positioning.
Solution Approach 2:
The preliminary coding of last significant coefficient position information establishes a foundation that enables more compact representation of subsequent coefficient positions, reducing the total number of bits required while preserving coding accuracy.
3Measurement precision
If complex coding methods are used for coefficient position information, then coding precision is improved, but computational requirements increase
Solution Approach 1:
Segmenting the coding process allows each segment to use simpler, more computationally efficient methods tailored to its specific requirements, rather than applying complex unified methods throughout, thereby reducing overall computational burden while maintaining precision.
Solution Approach 2:
By performing preliminary coding of the last significant coefficient position, the patent establishes constraints and patterns that simplify subsequent coding operations, reducing computational requirements while preserving coding precision through the use of context information.
Data Source
AI summary
In one example, an apparatus is disclosed for coding coefficients associated with a block of video data during a video coding process, wherein the apparatus includes a video coder configured to code information that identifies a position of a last non-zero coefficient within the block according to a scanning order associated with the block prior to coding information that identifies positions of other non-zero coefficients within the block, including at least one of the following: coding a one-dimensional position within the block that identifies the position of the last non-zero coefficient; coding a two-dimensional position within the block that identifies the position of the last non-zero coefficient, and coding a flag that indicates whether the last non-zero coefficient is located within a range of positions within the block, and coding the one-dimensional position when the last non-zero coefficient is located within the range, and otherwise coding the two-dimensional position.