Camera Still Capture During Video Processing
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Solution Overview
Problem
Conventional cameras compromise on still picture quality and performance during continuous video capture, as video processing interrupts still picture recording and results in missing video frames.
Innovation Solution
A method that generates intermediate video frames by de-mosaicing and compressing them simultaneously with still picture capture, allowing for high-quality still pictures and continuous video recording without frame loss, using different compression techniques and pre-processing methods for still pictures and video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video processing is performed during still picture capture, then video recording can continue, but still picture quality and performance are compromised
Solution Approach 1:
The patent divides the processing pipeline into separate segments: one for video frames and one for still pictures. The sensor array continuously captures frames, and the processor selectively processes these frames into either video output or still picture output based on mode selection. This segmentation allows independent optimization of each processing path without mutual interference, resolving the contradiction between maintaining video continuity and preserving still picture quality.
2Manufacturing precision
If still picture processing is prioritized, then still picture quality improves, but video frames are missed during processing
Solution Approach 1:
The system performs preliminary action by continuously capturing sensor frames at the sensor level before processing decisions are made. The sensor array operates continuously to accumulate raw frame data, and only during processor-based still picture processing does the system temporarily hold video output. This preliminary continuous capture ensures that no actual video information is lost, as all sensor data is preserved and can be processed into video frames after still picture processing completes.
3Speed
If video compression is applied to still pictures, then processing speed increases, but still picture resolution and quality are reduced
Solution Approach 1:
The patent applies local quality by using different processing methods for different output types. Video frames receive video compression optimized for temporal and spatial redundancy in moving images, while still pictures receive either lossless compression or higher-quality lossy compression optimized for static images. This localized quality adjustment allows each output type to receive the most appropriate processing for its specific requirements, maintaining high still picture resolution while preserving video processing efficiency.
Data Source
AI summary
A method for processing a source frame is disclosed. The method generally includes the steps of (A) generating a intermediate video frame by de-mosaicing the source frame, wherein (i) the source frame has a source resolution and has a source color space and (ii) the intermediate video frame has the source resolution and has an intermediate color space, (B) generating a video stream by compressing the intermediate video frame with a video compression technique and (C) generating a still picture from the source frame, wherein (i) the still picture has the source resolution and comprises a raw picture and (ii) generating the still picture occurs substantially simultaneously with generating the video stream.