Eye Tracking Media Quality Enhancement
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Solution Overview
Problem
Conventional media processing techniques are hindered by environmental changes, such as ambient light, and fail to provide intelligent rendering on displays, leading to suboptimal user experiences.
Innovation Solution
A computing device employs an interest-based media enhancement mechanism that uses eye tracking and pupil size detection to determine regions of interest, adjusting media quality dynamically by increasing bitrate within the region of interest when user engagement is detected, while maintaining normal quality elsewhere.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional media processing techniques are used, then the system is simple and easy to implement, but the media quality is suboptimal under environmental changes such as ambient light
Solution Approach 1:
The system incorporates eye tracking information as feedback to dynamically adjust media rendering quality. The detection/reception logic receives eye tracking data, and the encoding/enhancement logic uses this feedback to enhance media contents within the region of interest when pupil size indicates user interest, thereby improving media quality adaptability without requiring complete system redesign
Solution Approach 2:
The system transitions from static media processing to dynamic adaptive rendering. The media quality is dynamically adjusted based on real-time eye tracking data, pupil size detection, and determined region of interest, allowing the system to adapt media rendering to changing user attention and environmental conditions
2Reliability
If media quality is enhanced across the entire display, then the user experience is improved, but the bandwidth requirements and resource usage increase significantly
Solution Approach 1:
The system applies different media qualities to different regions of the display based on user interest. High-quality rendering is applied only to the determined region of interest where the user is actively engaged, while normal quality is maintained in other regions, thereby improving user experience locally without increasing overall bandwidth requirements
Solution Approach 2:
The display area is segmented into region of interest and non-interest areas based on eye tracking data. The encoding/enhancement logic selectively enhances only the segmented region of interest, dividing the media processing task into quality-enhanced portions and standard portions, which optimizes resource allocation and bandwidth usage
Data Source
AI summary
A mechanism is described for facilitating interest-based enhancement in media quality according to one embodiment. A method of embodiments, as described herein, includes receiving eye tracking information from a wearable computing device, where the eye tracking information contains data relating to pupils of eyes of a user having access to the wearable computing device. The method may further include enhancing quality of at least contents of media, if a size of a pupil is determined to have been altered due to the user's interest in the contents, where the media having the enhanced contents is encoded and communicated back to the wearable computing device to be rendered at the wearable computing device.