Video Frame Tiling for Parallel Encoding and Error Resilience
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Solution Overview
Problem
Existing video encoding and decoding techniques face challenges in efficiently managing large video data, particularly in terms of resource utilization, latency, and error resilience, especially when dealing with loss or corruption of data during transmission.
Innovation Solution
Implementing tiling techniques for video encoding and decoding, where frames are divided into tiles that can be encoded and decoded independently, allowing for improved error resilience, parallel processing, reduced resource utilization, and lower latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video frames are encoded as a single large unit, then encoding simplicity is maintained, but error resilience deteriorates and latency increases
Solution Approach 1:
The video frame is divided into multiple independent tiles, where each tile can be encoded and decoded separately. This segmentation improves error resilience because corruption in one tile does not affect other tiles, while maintaining encoding simplicity through standardized tile processing procedures
2Loss of time
If video frames are processed as a single unit, then processing simplicity is maintained, but latency increases due to sequential processing
Solution Approach 1:
The frame is segmented into multiple tiles that can be processed in parallel across different processing units or threads. This reduces latency by eliminating sequential processing bottlenecks, while the standardized tile interface maintains processing simplicity
Solution Approach 2:
The processing architecture transitions from a single-thread sequential model to a multi-thread parallel model by introducing the tile dimension. Each tile becomes an independent processing unit that can be handled concurrently, reducing overall encoding latency
3Productivity
If video frames are encoded as a single large unit, then resource utilization efficiency is maintained, but latency increases due to larger processing blocks
Solution Approach 1:
The large frame is divided into smaller tiles that can be processed simultaneously by multiple processing units. This increases productivity by utilizing parallel processing resources more effectively, while reducing the time each individual processing unit needs to operate on a single tile
4Reliability
If error resilience is improved through independent tile processing, then reliability increases, but device complexity increases due to tile management overhead
Solution Approach 1:
The tile structure serves multiple functions simultaneously: it provides error isolation boundaries, enables parallel processing units, and creates manageable data units for memory operations. This multi-functionality justifies the additional structure by delivering multiple benefits from a single design element
Data Source
AI summary
Video coding using tiling may include encoding a current frame by identifying a tile-width for encoding a current tile of the current frame, the tile-width indicating a cardinality of horizontally adjacent blocks in the current tile, identifying a tile-height for encoding the current tile of the current frame, the tile-height indicating a cardinality of vertically adjacent block in the current tile, and generating an encoded tile by encoding the current tile, such that a row of the current tile includes tile-width horizontally adjacent blocks from the plurality of blocks, and a column of the current tile includes tile-height vertically adjacent blocks from the plurality of blocks. Encoding the current frame may include outputting the encoded tile, wherein outputting the encoded tile includes including an encoded-tile size in an output bitstream, the encoded-tile size indicating a cardinality of bytes for including the encoded tile in the output bitstream.