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Measurement and prediction method for eye movement consistency among dynamic observers and terminal

A prediction method and consistency technology, applied in the field of image processing, can solve problems such as eye movement consistency of dynamic observers that have not been studied

Pending Publication Date: 2022-02-01
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, to the best of our knowledge, there are no well-established literature studies of inter-observer eye movement consistency in motion

Method used

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  • Measurement and prediction method for eye movement consistency among dynamic observers and terminal
  • Measurement and prediction method for eye movement consistency among dynamic observers and terminal
  • Measurement and prediction method for eye movement consistency among dynamic observers and terminal

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Embodiment Construction

[0050] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0051] An embodiment provided for the present invention, such as figure 1 Shown is a flow chart of a dynamic inter-observer consistency measurement method.

[0052]S100, the universal eye tracker collects the eye movement data of N viewers while watching the video. Specifically, it is necessary to pay attention to the distance between the subject and the eye tracker within the effective range of the eye tracker, and choose a reasonable screen size and distance The distance from the screen ensures...

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Abstract

The invention provides a measurement method for eye movement consistency among dynamic observers, which comprises the following steps: acquiring eye movement data of N observers when watching a video, and processing the eye movement data; obtaining the inter-observer eye movement consistency of a single observer through a single frame image in the processed eye movement data; repeating the steps until the eye movement consistency among all observers is obtained; and processing the inter-observer eye movement consistency of the observer to obtain a value of the dynamic observer eye movement consistency of the single-frame image. The invention also provides a prediction method for the eye movement consistency among the dynamic observers. A model is trained based on the data obtained by the measurement and calculation method for the eye movement consistency among the dynamic observers. The trained model is used to predict the eye movement consistency among the dynamic observers. The method is a method for predicting the eye movement consistency among observers of a video, the deep learning technology is applied, inter-frame motion characteristics are combined, and an accurate result is obtained.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for measuring and predicting eye movement consistency between dynamic observers and a terminal. Background technique [0002] In recent years, with the maturity of human eye gaze point detection equipment, the analysis of human visual system and human eye attention content has become the focus of attention in the field of computer vision graphics processing. Human gaze behavior is affected by many factors, such as age, education level, and physical condition of the observer. Inter-observer eye-movement coherence describes the degree to which the distribution of visual attention areas is dispersed when different subjects view the same material. [0003] Since the current research on visually salient regions has received extensive attention, researchers have proposed a large number of methods to predict visually salient regions. Inter-observer eye-moveme...

Claims

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Application Information

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IPC IPC(8): G06T7/254G06T7/246G06V10/40G06N3/04G06N3/08
CPCG06T7/254G06T7/246G06N3/08G06T2207/10016G06T2207/30041G06T2207/20081G06N3/045
Inventor 闵雄阔岳姣敏翟广涛朱丹丹朱煜程孙伟
Owner SHANGHAI JIAO TONG UNIV