Adaptive Camera ISP Tuning Using Scene Emotion Detection
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Solution Overview
Problem
Existing image signal processors (ISPs) do not effectively convey the emotional or contextual nuances of a scene through the visual appearance of images, limiting the ability to create immersive and engaging video experiences.
Innovation Solution
Integrating a machine learning module into the ISP to detect emotional cues and dynamically adjust parameters such as color correction, tone mapping, and sharpening based on detected emotions, using a deep neural network to classify scene emotions and adjust ISP parameters in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional image signal processing is used to generate visually pleasing videos, then visual appeal is improved, but emotional nuance and contextual atmosphere are lost
Solution Approach 1:
The image processing pipeline is segmented into multiple stages: initial ISP processing for visual quality, followed by a separate emotion detection module that analyzes the processed image, and then an adjustment stage that applies emotion-based parameter modifications. This segmentation allows both visual appeal and emotional nuance to be preserved by handling them in distinct processing stages.
Solution Approach 2:
The system implements a feedback loop where the emotion detection module analyzes the output of the ISP and generates emotion scores that feed back into parameter adjustments. This closed-loop feedback enables the system to detect emotional content and dynamically adjust processing parameters to preserve and enhance emotional nuance while maintaining visual quality.
2Loss of information
If emotion detection and dynamic parameter adjustment are added to the ISP, then emotional nuance is improved, but device complexity increases
Solution Approach 1:
The emotion detection module is designed to be a universal component that can be integrated with existing ISP pipelines without requiring complete system redesign. The same emotion detection architecture can serve multiple functions: analyzing still images, processing video streams, and providing feedback for various adjustment algorithms, thereby reducing overall system complexity through multi-functionality.
Solution Approach 2:
The patent introduces an intermediary emotion detection module that sits between the traditional ISP and the final output. This intermediary component translates complex image data into simplified emotion scores that can be easily processed by adjustment algorithms, acting as a mediator that reduces complexity by breaking down the problem into manageable stages with clear interfaces.
3Loss of information
If post-processing emotion-based transformations are applied, then emotional atmosphere is improved, but power consumption and processing resources increase significantly
Solution Approach 1:
The system performs preliminary emotion detection on the output of the ISP before final image processing is complete. By detecting emotions at this intermediate stage rather than performing extensive post-processing transformations, the system achieves emotional atmosphere enhancement with reduced computational overhead and lower power consumption compared to applying multiple heavy transformation layers after full ISP processing.
Data Source
AI summary
Systems and methods for adaptive emotion-based image signal processor parameter tuning. A neural network is provided to detect the emotional context of a scene. The neural network can identify facial micro expressions of a person in the scene and tune the ISP parameters based on detected emotional cues. The mood of a scene can also be extracted by analyzing a transcription of the conversation using a natural language processing model. Adaptive emotion-based camera ISP tuning can be added as a software component. The ISP tuning system can process an image, classify the emotion of the scene in the image using a deep neural network, and dynamically adjust the ISP parameters to convey the mood of the scene. ISP parameters for ISP blocks such as a tone mapping block, a color correction matrix block, and a sharpening block can be dynamically adjusted based on the mood of the scene.