Superpixel Generation Using Array-Based Neighbor Traversal
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Solution Overview
Problem
Current superpixel generation techniques are computationally expensive and inefficient due to the use of queues for neighbor pixel traversal, leading to increased memory consumption and reduced runtime efficiency, especially in GPU architectures where each processing thread requires separate queues, causing memory bandwidth issues.
Innovation Solution
A superpixel generation method that avoids queues by storing relative neighboring coordinates in an array and using buffers to traverse neighbor pixels, allowing for parallel processing without the need for on-chip queues, and utilizes invalid optical flow data for more efficient image segmentation and superpixel formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If queues are used for neighbor pixel traversal in superpixel generation, then the traversal process can be organized systematically, but memory consumption increases and runtime efficiency decreases
Solution Approach 1:
The patent extracts the queue data structure from the processing system and replaces it with array-based storage and buffer-based traversal control. Neighbor coordinates are stored directly in arrays without queue overhead, and traversal is controlled through buffer indexing mechanisms that eliminate the need for dynamic queue operations.
Solution Approach 2:
The patent uses buffer copies to manage traversal state instead of persistent queues. By copying and resetting buffer contents for each superpixel generation iteration, the system achieves systematic traversal organization without maintaining large queue structures in memory throughout the process.
2Productivity
If separate queues are allocated for each processing thread in GPU architecture, then parallel processing can be implemented, but memory bandwidth is reduced due to increased memory consumption
Solution Approach 1:
The patent merges the queue functionality into shared array structures that are collectively accessed by multiple threads. Instead of each thread having its own separate queue in global memory, threads share common neighbor coordinate arrays and use buffer-based indexing to manage their respective traversal states, reducing overall memory footprint and bandwidth requirements.
Solution Approach 2:
The patent introduces a new dimensional organization for storing neighbor coordinates using multi-dimensional arrays with dimensions corresponding to spatial relationships. This allows efficient parallel access patterns where threads can independently compute and access neighbor coordinates without conflicting for the same memory locations, improving parallel processing efficiency while reducing memory bandwidth consumption.
3Reliability
If existing superpixel generation techniques are used, then superpixel formation can be achieved, but computational efficiency is reduced due to queue operations
Solution Approach 1:
The patent substitutes the mechanical queue data structure with a more efficient array-buffer system. The systematic neighbor traversal is maintained through buffer indexing and array storage, eliminating the overhead of queue insertion, deletion, and memory allocation operations while preserving the correctness of superpixel formation algorithms.
Data Source
AI summary
Apparatuses, systems, and techniques to interpolate one or more intermediate images from two or more images is disclosed. In at least one embodiment, a processor includes one or more circuits to interpolate one or more intermediate images from two or more images based, at least in part, on one or more inconsistent flow vectors corresponding to the two or more images.