Luminance-Based Image Capture for Viewer Identification
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Solution Overview
Problem
Existing technologies face challenges in determining who is viewing multimedia content, especially in low-light environments, as traditional image capture methods struggle to capture high-quality images of viewers due to insufficient illumination.
Innovation Solution
A client consumption device equipped with a camera analyzes frames of media content to identify frames with the highest luminance levels, capturing images concurrently or shortly after their display, leveraging the illumination provided by the content to improve image quality, and optionally performs image recognition to identify viewers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If traditional image capture methods are used in low-light environments, then the device can operate in dark conditions, but the image quality deteriorates due to insufficient illumination
Solution Approach 1:
The display device uses its own displayed content as the light source for image capture. The system leverages the luminance of displayed frames to illuminate the viewing environment, eliminating the need for external lighting sources and allowing image capture in low-light conditions while maintaining image quality.
Solution Approach 2:
The system pre-analyzes luminance levels of video frames and identifies high-luminance frames before capture. By selecting frames with sufficiently high luminance in advance, the system ensures that the display provides adequate illumination for the intended image capture moment, resolving the contradiction between low-light operation and image quality.
2Reliability
If the system captures images continuously to ensure viewer detection, then viewer identification reliability improves, but energy consumption increases
Solution Approach 1:
Instead of continuous image capture, the system performs partial action by capturing images only at selected moments when high-luminance frames are displayed. This selective capture approach maintains viewer identification reliability by ensuring captures occur under optimal lighting conditions, while significantly reducing energy consumption compared to continuous capture.
Solution Approach 2:
The system analyzes luminance levels of video frames and uses this feedback to determine optimal capture timing. By monitoring frame luminance and triggering captures only when luminance thresholds are met, the system ensures reliable viewer detection while minimizing unnecessary captures and associated energy consumption.
3Manufacturing precision
If the system analyzes luminance levels of all frames to identify the best capture moment, then image capture quality improves, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of luminance levels for video frames before the actual image capture moment. By pre-identifying frames with high luminance characteristics, the system prepares capture timing in advance, ensuring high-quality capture without adding significant processing delays during the critical capture window.
Solution Approach 2:
Instead of analyzing every single frame in detail, the system applies partial action by sampling luminance levels at key intervals or using simplified luminance estimation for preliminary screening. This approach identifies suitable capture moments with sufficient accuracy while reducing the computational time required compared to exhaustive frame-by-frame analysis.
Data Source
AI summary
In embodiments, apparatuses, methods and storage media are described that are associated with content distribution. In embodiments, one or more frames may be displayed on a display, and the frame or frames with the highest luminance level of those frames may be identified. A camera may be configured to capture an image at a point in time based at least in part on display of the frame with the highest luminance level. In some embodiments, the luminance level of the frames may be identified based at least in part on analysis of the frames by a device prior to display of the frames. In other embodiments, the luminance level of the frames may be identified based at least in part on the receipt of luminance data from a server.