Object-ROI Image Preprocessing for Higher Compression Efficiency
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Solution Overview
Problem
Existing image and video coding technologies for machine consumption lack efficiency in terms of compression ratio and multi-task performance, as they often process the entire image or video, whereas machines may only require specific regions of interest.
Innovation Solution
A method and apparatus for preprocessing an image by extracting and adjusting an object region of interest, such as a segment or bounding box, and adjusting the background region using dominant, average, or user-defined colors, while incorporating margin regions and combining adjacent objects, to enhance compression and multi-task performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire image is processed for machine consumption, then the complete image information is preserved, but the compression ratio and processing efficiency deteriorate
Solution Approach 1:
The patent extracts only the object region of interest from the entire image, discarding unnecessary background information. This extraction approach maintains the essential object information while significantly reducing the amount of data that needs to be processed and transmitted, thereby improving compression ratio without losing critical image information.
Solution Approach 2:
The patent segments the image into two distinct parts: the object region of interest and the background region. By processing and transmitting only the segmented object region rather than the entire image, the system achieves better compression efficiency while preserving the necessary information for machine tasks.
2Ease of operation
If the entire image is processed, then all regions are handled uniformly, but the processing efficiency and resource utilization deteriorate
Solution Approach 1:
The patent applies different processing strategies to different regions of the image. The object region of interest receives detailed processing and transmission, while the background region is either simplified, degraded, or completely omitted. This local differentiation optimizes processing efficiency by applying computational resources only where necessary.
3Productivity
If the object region is extracted and processed separately, then the compression ratio improves, but the complexity of the processing system increases
Solution Approach 1:
The patent performs object region extraction and segmentation as a preliminary action before the main compression and transmission process. By preparing the image data in advance through extraction and segmentation operations, the system simplifies subsequent processing steps and reduces the overall complexity of handling large image datasets.
Data Source
AI summary
Disclosed herein is a method for image preprocessing based on an object of interest. The method includes extracting an object region of interest from an input image, adjusting the object of region of interest, and adjusting a background region excluding the object region of interest.