Video Reproducing Device Audio-Based Scene Analysis
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Solution Overview
Problem
Conventional video reproducing devices face challenges in dynamically improving image quality for each scene, as existing techniques often result in adverse effects and require user specification, making it difficult to apply appropriate image quality improvements effectively.
Innovation Solution
A video reproducing device equipped with a separation controller and processor that analyzes background sound and voice signals to select and apply appropriate image quality improvement schemes, such as color adjustment, edge enhancement, or texture restoration, based on scene changes detected by audio analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image quality improvement techniques (color correction, edge enhancement, noise removal, texture restoration) are applied, then image quality is improved for specific panel types or user specifications, but it is difficult to appropriately improve image quality dynamically for each scene
Solution Approach 1:
The patent implements dynamic scene analysis by continuously monitoring video content and automatically adjusting image quality improvement techniques according to detected scene characteristics. The system transitions from static, predetermined processing to dynamic, real-time adaptation based on scene type, thereby resolving the contradiction between maintaining image quality and achieving scene-specific optimization.
Solution Approach 2:
The system changes processing parameters dynamically by selecting different image quality improvement techniques based on scene analysis results. When scenes are detected, specific techniques (such as edge enhancement for action scenes or noise removal for dialogue scenes) are applied, allowing the parameters of image processing to adapt to different content requirements and resolve the limitation of fixed processing approaches.
2Manufacturing precision
If conventional image quality improvement techniques are applied, then certain image aspects are enhanced, but adverse effects occur depending on the video image
Solution Approach 1:
The patent applies local quality by selecting and applying different image quality improvement techniques to different scenes based on their specific characteristics. Instead of uniformly applying all techniques to all video content, the system analyzes scene type and applies appropriate techniques locally, thereby enhancing image quality where beneficial while avoiding adverse effects in scenes where certain techniques would be harmful.
Solution Approach 2:
The system converts the potential harm of inappropriate image processing into benefit by using scene analysis to intelligently determine when and how to apply each technique. The scene detection mechanism identifies situations where conventional techniques would cause adverse effects and prevents their application, thereby transforming the potential harm into beneficial, selective processing that enhances quality without introducing artifacts.
3Manufacturing precision
If user specification is required for image quality improvement, then processing can be customized, but user intervention increases complexity and reduces ease of operation
Solution Approach 1:
The patent implements self-service by enabling the video reproducing device to automatically perform scene analysis and select appropriate image quality improvement techniques without user input. The system serves itself by autonomously determining the optimal processing approach for each scene, thereby maintaining high image quality while eliminating the need for user specification and reducing operational complexity.
Solution Approach 2:
The system employs feedback mechanisms by continuously analyzing video content and automatically adjusting processing parameters based on scene characteristics. This closed-loop approach allows the device to self-optimize image quality improvement techniques in real-time, replacing manual user specification with automated feedback-driven processing that maintains ease of operation while achieving high quality results.
Data Source
AI summary
According to one embodiment, a video reproducing device includes a separation controller and a processor. The separation controller is configured to receive a video signal and an audio signal synchronized with the video signal, and to separate a background sound and a voice in the audio signal. The processor is configured to select at least one of a plurality of image quality improvement processing schemes based on an analysis of the voice and the background sound, and to apply the selected image quality improvement processing scheme to the video signal.