Video Color Grading via Scene-Specific LUT Application
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Solution Overview
Problem
Existing video processing techniques do not effectively specify and apply optimal color grading to specific scenes in video data, leading to inadequate processing results.
Innovation Solution
An information processing system that acquires video data, scene specifying information, and LUT setting information to identify and apply suitable LUT data for color grading, using metadata such as environmental and imaging information to determine the optimal scene and corresponding LUT data for each scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If color grading processing is applied to entire video data without scene specification, then processing can be performed uniformly, but the processing is not optimal for specific scenes requiring different color treatments
Solution Approach 1:
The video data is segmented into multiple scenes based on scene specifying information (metadata, timestamps, scene identifiers). Each scene is then independently processed with appropriate LUT data, allowing different color grading treatments for different scenes while maintaining overall video coherence.
Solution Approach 2:
Scene specifying information and LUT setting information are extracted and prepared in advance before color grading processing. The system pre-identifies scene boundaries and pre-selects appropriate LUT data for each scene, enabling efficient processing without requiring complex real-time analysis during rendering.
2Manufacturing precision
If manual scene selection and LUT application is performed, then optimal color grading can be achieved for each scene, but the processing time and operational complexity increase significantly
Solution Approach 1:
The system automatically extracts scene specifying information from video metadata, timestamps, and scene identifiers without requiring manual intervention. It self-selects appropriate LUT data based on scene characteristics and automatically applies the correct LUT to each identified scene, eliminating manual scene selection and LUT assignment while maintaining high color grading quality.
Solution Approach 2:
The system uses scene specifying information (metadata, timestamps, scene identifiers) as feedback to automatically determine appropriate LUT data for each scene. This feedback mechanism enables the system to adaptively select and apply color grading parameters without manual input, significantly reducing processing time while maintaining optimal results.
3Reliability
If environmental information is used to set processing parameters, then atmosphere and realistic feeling can be enhanced, but the processing is not specifically targeted to appropriate scenes
Solution Approach 1:
Environmental information (temperature, humidity, atmospheric conditions) is used to select and apply LUT data specifically to scenes where such atmospheric effects are appropriate. The system matches environmental parameters with corresponding scenes based on scene specifying information, applying atmosphere-enhancing processing only to relevant scenes rather than uniformly to all video data, thereby achieving both atmospheric accuracy and scene-specific adaptability.
Data Source
AI summary
There is provided an information processing system, an information processing device, an information processing method, an information processing program, an imaging device, a method of controlling an imaging device, and a control program capable of applying processing of an optimum color to a specific scene in a video. The information processing system includes the imaging device and the information processing device, in which the information processing device acquires video data captured by the imaging device, scene specifying information, and LUT setting information from the imaging device, specifies a scene of the video data on the basis of the scene specifying information, and sets LUT data to be applied to the scene on the basis of the LUT setting information.


