Image Processing Device for Mixed Channel Frame Sorting
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Solution Overview
Problem
General-purpose reproduction equipment cannot accurately separate and reproduce video pictures from multiple channels mixed together, as the specifications for recognizing channel frames differ between manufacturers and devices.
Innovation Solution
An image processing device with an automatic sorting unit and a re-sorting unit that calculates the similarity degree of frames and allows user intervention to correctly sort frames into channels, using a re-sorting screen for intuitive channel association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic sorting based on image processing is used, then sorting speed and productivity are improved, but sorting accuracy deteriorates when frames from different channels have similar content
Solution Approach 1:
The patent implements a feedback mechanism where the automatic sorting results are displayed to the user, allowing manual correction and verification. The user can review the sorted frames and correct any misclassifications, with the system updating the sorting results based on user feedback to achieve high accuracy while maintaining automated processing speed.
Solution Approach 2:
The system performs automatic sorting using image processing algorithms that analyze frame characteristics and similarities. The automatic sorting unit independently processes frames and assigns channel labels without requiring continuous user intervention, maintaining productivity while the user only intervenes for corrections when necessary.
2Measurement precision
If manual sorting is used, then sorting accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
The patent segments the sorting task into two distinct parts: automatic sorting handled by the automatic sorting unit using image processing algorithms, and manual correction handled by the re-sorting unit. This segmentation allows the system to maintain high accuracy through manual verification while minimizing operational complexity by automating the bulk of the sorting process.
Solution Approach 2:
The automatic sorting unit performs preliminary sorting of all frames before manual review. This preliminary action organizes the majority of frames into correct channels automatically, reducing the amount of manual work required and simplifying the user's task to mainly reviewing and correcting only the problematic frames.
3Measurement precision
If dedicated equipment with channel number data is used, then channel separation accuracy is improved, but device complexity and compatibility issues increase
Solution Approach 1:
The patent replaces the mechanical/channel-specific identification system (relying on dedicated equipment and channel number data) with an image processing-based system. The automatic sorting unit analyzes visual characteristics of frames using algorithms that detect scene changes and frame similarities, eliminating the need for specialized hardware or standardized channel markers, thereby improving compatibility across different recording systems.
Solution Approach 2:
The image processing device can handle moving images recorded with various specifications and from different channels without requiring device-specific configuration. The automatic sorting unit universally applies image analysis techniques that work across different recording systems, making the device compatible with multiple manufacturers and recording methods while maintaining accurate channel separation.
Data Source
AI summary
Provided is an image processing device for sorting frames included in one moving image into different channels, the frames included in the moving image being a mixture of frames belonging to the different channels. The image processing device includes an automatic sorting unit and a re-sorting unit. The automatic sorting unit calculates a similarity degree of the plurality of frames included in the moving image by performing image processing on the frames, and sorts the plurality of frames into the plurality of channels based on the similarity degree. The re-sorting unit accepts, from a user, an association operation of individually associating at least one non-sorted frame, which is not automatically sorted by the automatic sorting unit, with any of the plurality of channels, and individually sorts the non-sorted frame to any of the plurality of channels based on content of the association operation.