SIMD Video Transform Processor for Faster H.264 Compression
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Solution Overview
Problem
Current implementations of the H.264 video compression standard are inefficient, particularly in software-based solutions, which require numerous processor cycles for forward and inverse transformations, and lack the agility of hardware-based solutions.
Innovation Solution
A video processor is designed to perform forward and inverse transformations using Single Instruction Multiple Data (SIMD) instructions, with the transformation matrices hardwired into hardware, allowing for efficient 1-D and 2-D transformations in fewer processor cycles by transposing data during the writeback process, and incorporating Hadamard transforms for enhanced compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software-based implementations of H.264 standard are used, then flexibility and adaptability are maintained, but processing speed and efficiency deteriorate due to numerous processor cycles required
Solution Approach 1:
The patent replaces the mechanical software-based processing system with a hardware-based video processor that uses SIMD (Single Instruction Multiple Data) architecture. This substitution enables parallel processing of multiple data elements simultaneously, dramatically improving processing speed while maintaining the flexibility of programmable hardware through configurable transform kernels that can be loaded with different transformation matrices.
2Productivity
If hardware-based solutions are used, then processing speed improves, but adaptability and flexibility are lost
Solution Approach 1:
The video processor implements dynamic adaptability through configurable transform kernels that can be loaded with different transformation matrices (e.g., DCT, DST, Hadamard) via memory interfaces. This allows the fixed hardware architecture to dynamically adapt to different video coding standards and transformation requirements, maintaining flexibility while benefiting from hardware-accelerated processing speed.
3Reliability
If traditional software implementations perform forward and inverse transformations, then correctness is maintained, but processor cycle consumption increases
Solution Approach 1:
The transformation process is segmented into independent 1-D transform operations that can be applied separately to rows and columns of data blocks. The video processor executes these segmented operations using SIMD instructions, processing multiple elements in parallel while maintaining mathematical correctness. This segmentation enables accurate transformation results with significantly reduced processor cycle consumption compared to traditional sequential software implementations.
Data Source
AI summary
A video processor is described, which is useful for implementing a forward transform process, in compliance with the H.264 standard. The video processor includes an input, for receiving a block of image data. The image data is loaded into an internal register. In response to receiving a SIMD instruction, a multiplier, which incorporates the H.264 forward transform matrix in its associated hardware, processes the block of image data, and writes the resulting partially transformed pixel data back to the internal register, transposing the data during the process.