Video Compression Search Region Setting for Multi-Region Imaging
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Solution Overview
Problem
Existing video compression technologies do not effectively handle video data from imaging elements with multiple imaging regions, where different imaging conditions can be set for each region, leading to inefficiencies in compression processing.
Innovation Solution
A video compression apparatus and program that sets a search region within a reference frame based on specific imaging conditions to detect specific regions, optimizing the compression process by narrowing the search range to regions with matching conditions, thereby reducing processing load and maintaining accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the search region is set to cover the entire reference frame, then the detection accuracy is improved, but the processing load increases
Solution Approach 1:
The patent applies local quality by differentiating the search region based on imaging conditions. Instead of uniformly searching the entire reference frame, the system identifies regions with matching imaging conditions (e.g., same exposure time, ISO, aperture) and limits the search to those specific regions. This allows high detection accuracy for matching regions while reducing processing load for regions with different imaging conditions.
Solution Approach 2:
The patent segments the reference frame into multiple regions based on imaging conditions. Each region is identified by its imaging parameters (exposure time, ISO, aperture), and the search process is divided into separate operations for each region type. This segmentation enables the system to process only relevant regions rather than the entire frame, resolving the contradiction between accuracy and processing load.
2Productivity
If the search region is narrowed down based on imaging conditions, then the processing load is reduced, but the detection accuracy may deteriorate
Solution Approach 1:
The patent changes the search parameters dynamically based on imaging condition matching. When a region in the current frame has the same imaging conditions as a reference region, the system expands the search to include that reference region, thereby maintaining detection accuracy. When imaging conditions differ, the search is restricted to locally matching regions, reducing processing load while preserving accuracy through parameter-based region selection.
3Adaptability or versatility
If conventional video compression is applied to multi-imaging-condition frames, then compatibility is maintained, but compression efficiency decreases
Solution Approach 1:
The patent introduces dynamic adaptation to conventional compression algorithms by making the search region determination flexible and condition-based. Instead of using a fixed search region, the system dynamically adjusts the search region boundaries and scope based on the imaging conditions of each region. This dynamic approach maintains compatibility with existing compression frameworks while significantly improving compression efficiency through targeted search operations.
Data Source
AI summary
A video compression apparatus for compressing video data as a series of frames outputted from an imaging element that has a plurality of imaging regions for imaging a subject and for which imaging conditions can be set for the respective imaging regions, includes: a setting unit configured to set, based on an imaging condition set in a compression target region of a frame different from a reference frame, a search region for detecting a specific region in the reference frame; and a detection unit configured to detect, based on the compression target region, the specific region in the search region set by the setting unit.