Image Coding with Binary Motion Detection for Lower Data Transfer
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Solution Overview
Problem
Conventional image coding systems face challenges in reducing data transfer volume and computation required for motion detection, especially with the increasing number of pixels per frame and frame rate, leading to potential interference with other image processing units and increased circuit complexity.
Innovation Solution
An image coding apparatus and method that employs both intraframe and interframe prediction coding, utilizing a binary image conversion unit to generate a binary image with reduced gradations, which is used for motion detection, thereby reducing data transfer and computation, and selecting the prediction method based on evaluation criteria to optimize coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional motion detection techniques are used with increasing pixels per frame and frame rate, then motion detection accuracy is maintained, but data transfer volume and computation increase significantly
Solution Approach 1:
The patent segments the motion detection process into two distinct stages: a coarse detection stage using down-sampled reference frames at lower resolution, and a fine detection stage using full-resolution frames. This segmentation allows the system to perform initial motion estimation with reduced data volume, then refine the results with higher precision data only where needed, thereby reducing overall data transfer volume while maintaining motion detection accuracy.
Solution Approach 2:
The patent introduces a resolution dimension to the motion detection process by operating at multiple levels of image detail. The coarse detection is performed on down-sampled frames (reduced dimensionality), and the fine detection is performed on full-resolution frames (full dimensionality). This multi-dimensional approach allows the system to efficiently handle large data volumes by processing information at appropriate levels of detail.
2Measurement precision
If conventional motion detection techniques are used with increasing pixels per frame and frame rate, then motion detection accuracy is maintained, but computation required increases significantly
Solution Approach 1:
The patent segments the computation-intensive motion detection task into two phases: coarse motion detection using down-sampled frames requiring less computation, and fine motion detection using full-resolution frames. By performing the initial broad search at lower computational cost and then refining only in regions of interest, the system significantly reduces total computation required while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary motion detection using down-sampled reference frames before processing full-resolution frames. This preliminary action identifies approximate motion vectors and regions of interest, allowing subsequent fine detection to focus computational resources only where necessary, thereby reducing overall computation required.
3Adaptability or versatility
If conventional motion detection techniques are used with increasing pixels per frame and frame rate, then motion detection capability is maintained, but interference with other image processing units increases
Solution Approach 1:
The patent segments the reference frame data into different resolution levels, allowing simultaneous processing of coarse and fine motion detection. This segmentation enables more efficient memory access patterns and reduces contention for shared resources between motion detection and other image processing units, thereby reducing interference while maintaining capability.
4Area of stationary object
If conventional motion detection techniques are used with increasing pixels per frame and frame rate, then motion detection coverage is maintained, but circuit complexity increases
Solution Approach 1:
The patent segments the motion detection circuitry into separate coarse and fine detection paths. The coarse detection uses simplified processing on down-sampled data, while the fine detection operates on full-resolution data only for regions identified as needing detailed analysis. This segmentation reduces overall circuit complexity by avoiding full-resolution processing across the entire image area.
Solution Approach 2:
The patent reduces circuit complexity by introducing a resolution dimension, allowing the system to perform most motion detection operations at lower resolution where full circuit complexity is not required, and only engage full-resolution processing circuits when and where necessary.
Data Source
AI summary
To use both intraframe prediction coding and interframe prediction coding, and at the same time restrict a transfer volume of reference data used in motion detection in interframe prediction coding. In a coding apparatus that compression-codes moving images, both intraframe prediction coding and interframe prediction coding are applied and prediction coding is carried out using a prediction image produced by the coding system deemed to have the higher coding efficiency.