Fixation oriented object segmentation using mobile eye tracker

2018 ◽  
Author(s):  
Qianwen Wan ◽  
Karen Panetta ◽  
Aleksandra Kaszowska ◽  
Holly Taylor ◽  
Sos S. Agaian ◽  
...  
Keyword(s):  
Object Segmentation ◽  
Eye Tracker ◽  
Oriented Object

Cognitive Processing of Film Cuts Among 4- to 8-Year-Old Children

2012 ◽  
Vol 17 (4) ◽  
pp. 257-265 ◽  
Author(s):  
Carmen Munk ◽  
Günter Daniel Rey ◽  
Anna Katharina Diergarten ◽  
Gerhild Nieding ◽  
Wolfgang Schneider ◽  
...  
Keyword(s):  
Eye Movements ◽  
Cognitive Processing ◽  
Media Literacy ◽  
Age Groups ◽  
Reaction Times ◽  
Time Span ◽  
Short Film ◽  
Calculation Formula ◽  
Eye Tracker ◽  
Chronological Sequence

An eye tracker experiment investigated 4-, 6-, and 8-year old children’s cognitive processing of film cuts. Nine short film sequences with or without editing errors were presented to 79 children. Eye movements up to 400 ms after the targeted film cuts were measured and analyzed using a new calculation formula based on Manhattan Metrics. No age effects were found for jump cuts (i.e., small movement discontinuities in a film). However, disturbances resulting from reversed-angle shots (i.e., a switch of the left-right position of actors in successive shots) led to increased reaction times between 6- and 8-year old children, whereas children of all age groups had difficulties coping with narrative discontinuity (i.e., the canonical chronological sequence of film actions is disrupted). Furthermore, 4-year old children showed a greater number of overall eye movements than 6- and 8-year old children. This indicates that some viewing skills are developed between 4 and 6 years of age. The results of the study provide evidence of a crucial time span of knowledge acquisition for television-based media literacy between 4 and 8 years.

IMPROVED OBJECT SEGMENTATION USING MULTI SCALE SALIENCY APPROACH

2018 ◽  
Vol 6 (4) ◽  
pp. 161-167
Author(s):  
S. Thilagamani ◽  
◽  
◽  
V. Manochitra
Keyword(s):  
Object Segmentation ◽  
Multi Scale

Segmentasi Citra Mri Menggunakan Deteksi Tepi Untuk Identifikasi Kanker Payudara

2017 ◽  
Vol 15 (2) ◽  
pp. 17 ◽  
Author(s):  
Ervina Varijki ◽  
Bambang Krismono Triwijoyo
Keyword(s):  
Breast Cancer ◽  
Edge Detection ◽  
Object Segmentation ◽  
Computation Time ◽  
Input Image ◽  
Boundary Line ◽  
Cancer Breast ◽  
Average Computation Time ◽  
Breast Cancer Mri ◽  
Image Format

One type of cancer that is capable identified using MRI technology is breast cancer. Breast cancer is still the leading cause of death world. therefore early detection of this disease is needed. In identifying breast cancer, a doctor or radiologist analyzing the results of magnetic resonance image that is stored in the format of the Digital Imaging Communication In Medicine (DICOM). It takes skill and experience sufficient for diagnosis is appropriate, andaccurate, so it is necessary to create a digital image processing applications by utilizing the process of object segmentation and edge detection to assist the physician or radiologist in identifying breast cancer. MRI image segmentation using edge detection to identification of breast cancer using a method stages gryascale change the image format, then the binary image thresholding and edge detection process using the latest Robert operator. Of the20 tested the input image to produce images with the appearance of the boundary line of each region or object that is visible and there are no edges are cut off, with the average computation time less than one minute.

Oxytocin-Based Health Information Priming Does Not Impact Categorization of Others into Social Groups

2017 ◽  
Author(s):  
Miranda Lynn Groft ◽  
Nathan Pistory ◽  
Rachel Hardy ◽  
Peter Joseph McLaughlin
Keyword(s):  
Social Behavior ◽  
Pupil Dilation ◽  
Popular Media ◽  
Eye Tracker ◽  
News Stories ◽  
Written Information ◽  
Race Politics ◽  
Politics And Religion ◽  
The Relationship ◽  
Lay Public

With the proliferation of neuroscience-related messages in popular media, it is more important than ever to understand their impact on the lay public. Previous research has found that people believed news stories more when irrelevant neuroscientific explanations were added. We sought to reveal whether such information could cause a change in social behavior. Specifically, based on publicized findings of the relationship between social behavior and the neurotransmitter oxytocin, we proposed that participants would accept more strangers into their in-group, or alternatively decrease in-group size, if told that there were oxytocin-based (relative to psychological construct-based) health benefits for doing so. In two tasks, participants were shown faces and written information about stimuli that could match their race, politics, and religion to varying degrees. In spite of evidence that participants processed the primes, and were sensitive to their level of similarity with stimuli, oxytocin-based priming did not alter categorization, or pupil dilation. It did not alter cross-race viewing behavior, as measured by an eye tracker, in consistent ways. Unexpectedly, pupil dilation increased when viewing stimuli of the same religion, an effect entirely related to White liberal Christians viewing other Christians. Overall, these results suggest that neuroscience information may impact some judgments, but lay people will not alter their likelihood of acceptance of strangers simply because they were primed with a neuroscience- (or more specifically, neurotransmitter-) based reason for doing so.

Video Object Segmentation Research Based on Features Joint Modeling

2014 ◽  
Vol 36 (11) ◽  
pp. 2356-2363
Author(s):  
Zong-Min LI ◽  
Xu-Chao GONG ◽  
Yu-Jie LIU
Keyword(s):  
Object Segmentation ◽  
Joint Modeling ◽  
Video Object Segmentation ◽  
Video Object
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