Dataform Decoding Module Integration in Video Processing
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Solution Overview
Problem
Existing computing devices lack efficient dataform decoding capabilities, which can be processor-intensive and battery-draining, especially in handheld devices, limiting their functionality as scanners.
Innovation Solution
Integrating a dataform decoding module into a video processing system, allowing dataforms to be decoded during video preparation, with optional parallel or series processing and power-saving features like decoding every other frame or on user signal, using algorithms like DirectShow filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dataform decoding is performed in existing computing devices, then scanning functionality is added, but processor intensity and battery consumption increase
Solution Approach 1:
The system performs dataform decoding at periodic intervals rather than continuously, analyzing only specific frames (e.g., every nth frame) of the video stream. This periodic approach maintains scanning functionality while significantly reducing processor activation frequency and battery consumption compared to continuous decoding.
Solution Approach 2:
The decoding system dynamically adjusts its operation based on detected conditions, such as motion detection, frame complexity, or user preferences. When motion is detected or a dataform is likely present, decoding intensity increases; otherwise, it reduces processing activity, optimizing the balance between scanning capability and energy consumption.
2Adaptability or versatility
If dataform decoding is performed in existing computing devices, then scanning functionality is added, but processor intensity increases
Solution Approach 1:
The video processing pipeline is segmented into multiple stages: initial video capture, preliminary frame analysis, dataform detection, and detailed decoding. Only frames that pass preliminary analysis and show potential dataform characteristics proceed to full decoding, dividing the processor-intensive task into manageable segments that reduce overall CPU load.
Solution Approach 2:
The system performs partial decoding operations on all frames (light processing) and full decoding only on selected frames where dataforms are detected. This partial action approach ensures scanning coverage while avoiding the excessive processor intensity of complete decoding on every frame.
3Productivity
If video processing modules are applied in parallel, then processing efficiency improves, but device complexity increases
Solution Approach 1:
The parallel processing system is segmented into independent video processing modules, each handling specific tasks (e.g., frame extraction, motion detection, dataform recognition). This modular segmentation enables parallel execution while maintaining manageable complexity through clear module boundaries and standardized interfaces.
Data Source
AI summary
Methods and apparatus for decoding dataforms comprising integrating a dataform decoding module into a video processing system. In an embodiment of the invention, video data is analyzed for dataforms as it is being prepared for display on a mobile computer screen. Packaging a dataform decoding algorithm as a video display module allows many hardware devices to easily add dataform decoding capabilities.


