Video Reception Device Adaptation for 3D Content Recognition
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Solution Overview
Problem
Existing video reception systems fail to effectively obtain and superimpose additional information onto video signals, particularly for 3D video content, due to differences in transmission methods between the broadcast station and the video reception device, leading to failed video recognition processing.
Innovation Solution
The video reception device generates partial videos in multiple transmission methods and fingerprints from these partial videos to match the method used by the video recognition device, ensuring successful content specifying processing and additional information display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the video reception device uses a single transmission method for video signals, then the device complexity is reduced, but the video recognition accuracy deteriorates when the transmission method differs from the broadcast station
Solution Approach 1:
The video reception device dynamically switches between different transmission methods (side-by-side, top-and-bottom, line-by-line) based on which method produces the highest correlation coefficient with the reference fingerprint. This dynamic adaptation allows the device to maintain high video recognition accuracy without permanently committing to a complex multi-method architecture.
Solution Approach 2:
The device changes the transmission method parameter by converting video signals between different transmission formats. By adjusting this parameter based on correlation results, the system achieves accurate video recognition without permanently maintaining multiple transmission method configurations, thus balancing complexity and accuracy.
2Reliability
If the video reception device generates fingerprints for multiple transmission methods, then the video recognition reliability is improved, but the processing time increases
Solution Approach 1:
The device performs partial action by generating fingerprints for multiple transmission methods only when initially required, and then uses the correlation coefficient to determine the optimal method for subsequent processing. This approach ensures reliable video recognition while minimizing unnecessary processing time for all possible transmission methods in every scenario.
Solution Approach 2:
The device performs preliminary action by pre-generating fingerprints for multiple transmission methods and storing them for quick comparison. This preliminary preparation enables fast real-time video recognition by simply comparing incoming video fingerprints against the pre-generated set, rather than processing all methods in real-time.
3Adaptability or versatility
If the video reception device converts video signals to multiple transmission methods, then the adaptability to different broadcast formats is improved, but the device complexity increases
Solution Approach 1:
The video reception device achieves universality by implementing a single video signal processing unit that can handle multiple transmission methods (side-by-side, top-and-bottom, line-by-line) through configurable parameters rather than dedicated hardware for each method. This multi-functional approach provides broad adaptability while controlling device complexity.
4Ease of operation
If the video recognition device processes video signals without knowing the transmission method, then the ease of operation is improved, but the video recognition accuracy deteriorates
Solution Approach 1:
The video reception device performs self-service by automatically determining the optimal transmission method through correlation coefficient calculation between generated fingerprints and reference fingerprints. This self-determination eliminates the need for external information about the transmission method while maintaining high video recognition accuracy, thus preserving ease of operation.
Data Source
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AI summary
Video recognition processing on stereoscopic video signals input from an outside is performed. Hence, a video reception device (40) which is configured to transmit and receive data through a communication network (16) includes an input unit (65), a video extraction unit (45), a stereoscopic signal generator (66) which is a video signal generator, and a control unit (41). The stereoscopic signal generator generates, from a partial video extracted by the video extraction unit, stereoscopic video signals of a single method or a plurality of methods different from that of the partial video. The control unit generates content recognition information from at least one of the partial video and the stereoscopic video signals generated by the stereoscopic signal generator, and requests a video recognition device (20) to perform video recognition processing on the content recognition information.