Nested Entropy Encoding for Motion Vector Signaling Overhead
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Solution Overview
Problem
Existing video transmission systems face challenges in achieving efficient data compression for high-definition content while maintaining image quality, as conventional motion vector encoding techniques often result in high bit rates that exceed the capabilities of transmission media, leading to potential decoding errors and loss of data redundancy.
Innovation Solution
The implementation of a nested entropy encoding structure that allows for the selection of a candidate set of motion vectors with the highest frequency, encoded using variable-length codes, and the use of syntax elements to optimize coding efficiency, preserving spatial and temporal independence and error resilience without trimming duplicate vectors or truncating code symbols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional motion vector encoding techniques are used, then motion information can be transmitted, but the bit rate becomes excessively high exceeding transmission media capabilities
Solution Approach 1:
The patent segments motion vector data into multiple categories (current frame motion vectors, previous frame motion vectors, co-located block motion vectors) and processes them through separate entropy decoding streams. This segmentation allows selective reconstruction of motion information while minimizing the total bit rate required, directly resolving the contradiction between maintaining reliability and reducing quantity of data transmitted.
Solution Approach 2:
The patent implements a nested entropy encoding structure where multiple levels of motion vector predictors are encoded within a hierarchical framework. The nested structure allows the decoder to reconstruct motion vectors by combining information from multiple encoded layers, achieving high fidelity motion compensation with reduced overall bit rate, thus resolving the contradiction between reliability and data quantity.
2Manufacturing precision
If motion vector predictors are extensively signaled to improve coding efficiency, then coding precision improves, but overhead increases
Solution Approach 1:
The patent dynamically selects and signals motion vector predictors based on the specific coding context and available reference frames. Rather than statically signaling all possible predictors, the system adaptively determines which predictors to encode based on current frame conditions, motion characteristics, and reference frame availability. This dynamic approach optimizes coding efficiency while minimizing overhead by only signaling necessary predictor information.
Solution Approach 2:
The patent changes the parameter set used for motion vector prediction based on the decoding context. Different parameter combinations (spatial neighbors, temporal co-located vectors, interpolated motion vectors) are selectively applied depending on the block type, prediction mode, and available reference data. This parameter adaptation allows high coding precision to be achieved with minimal overhead by using the most efficient predictor set for each specific case.
3Quantity of substance
If duplicate motion vectors are trimmed to reduce data, then bit rate decreases, but error resilience is compromised
Solution Approach 1:
The patent prepares multiple candidate motion vectors from different sources (current frame, previous frame, co-located blocks) before the actual decoding and reconstruction process. These pre-prepared candidates serve as cushions or backups that can be used if data loss occurs during transmission. By having multiple independent sources of motion information available beforehand, the system maintains error resilience while avoiding the need to transmit redundant duplicate vectors, thus resolving the contradiction between data quantity and reliability.
Data Source
AI summary
Methods and systems for improving coding decoding efficiency of video by providing a syntax modeler, a buffer, and a decoder. The syntax modeler may associate a first sequence of symbols with syntax elements. The buffer may store tables, each represented by a symbol in the first sequence, and each used to associate a respective symbol in a second sequence of symbols with encoded data. The decoder decodes the data into a bitstream using the second sequence retrieved from a table.