Eye Tracking Based Video Defocusing for Bandwidth Optimization

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Solution Overview

Problem

Mobile devices face bandwidth constraints when receiving video content, leading to reduced video quality due to data caps and high bandwidth costs, as conventional video compression techniques diminish the viewing experience.

Innovation Solution

Implementing eye-tracking technology to dynamically adjust video content focus, encoding less important areas at lower quality and more important areas at higher quality, reducing overall bandwidth requirements while maintaining a superior viewing experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If video compression techniques are used to reduce data transmission, then bandwidth consumption is reduced, but video quality deteriorates

Engineering Contradiction:
Improvebandwidth consumptionVSAvoidvideo quality
Core Design Contradiction:
Loss of energyVSManufacturing precision

Solution Approach 1:

The patent applies local quality by encoding different regions of the video frame with different quality levels. Specifically, the video frame is divided into multiple regions, and each region is encoded at a different bitrate based on its importance. Important regions (where users are likely to focus attention) are encoded at higher quality, while less important regions are encoded at lower quality. This resolves the contradiction by maintaining high video quality in critical areas while reducing overall bandwidth consumption through selective compression.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments the video frame into multiple distinct regions for differential encoding. By dividing the video content into region-of-interest (ROI) areas and non-ROI areas, the system can apply different compression strategies to each segment. This segmentation enables the system to prioritize bandwidth allocation to important regions while applying more aggressive compression to less important regions, thereby reducing total bandwidth usage without significantly impacting perceived video quality.

Inventive Principle:
Principle #1Segmentation

2Manufacturing precision

If uniform high quality encoding is applied to entire video content, then video quality is maintained, but bandwidth consumption increases

Engineering Contradiction:
Improvevideo qualityVSAvoidbandwidth consumption
Core Design Contradiction:
Manufacturing precisionVSLoss of energy

Solution Approach 1:

Instead of applying uniform high quality encoding to the entire video frame, the patent implements local quality by assigning different encoding parameters to different spatial regions. The video frame is partitioned into multiple regions, and each region is encoded with appropriate quality levels based on its visual importance. This approach maintains high video quality in regions that matter most to viewers while using lower quality encoding in less critical regions, thereby reducing overall bandwidth consumption without compromising the viewing experience.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent applies partial action by selectively applying high quality encoding only to specific regions of the video frame rather than uniformly across the entire frame. By identifying and prioritizing region-of-interest areas where users are most likely to focus their attention, the system applies excessive encoding quality only where necessary, while using standard or reduced quality encoding for other regions. This selective approach maintains perceived video quality while significantly reducing total bandwidth requirements.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS8990843B2Eye tracking based defocusing
Publication Date: 2015.03.24 ADEIA MEDIA HOLDINGS INC
  • US8990843B2 patent drawing
  • US8990843B2 patent drawing
  • US8990843B2 patent drawing

AI summary

Described herein are techniques and mechanisms for eye tracking based defocusing. According to various embodiments, video content may be transmitted from a server for presentation at a remote computing device in communication with the server via a network. Eye tracking information identified via an optical sensor at the client machine may be received from the remote computing device. The eye tracking information may describe a state of one or both eyes of an individual located proximate to the remote computing device. A first portion of the video content on which the eyes are more focused relative to a second portion of the video content may be identified. The video content may be updated based on the received eye tracking information. The second portion of the video content may be defocused relative to the first portion of the video content in the updated video content.