The impact of task on visual attention

M. Song; JUN Xia; Y. Ling; W. Lei

doi:10.1109/ICISE.2009.1217

The impact of task on visual attention

M. Song
, JUN Xia
, Y. Ling
, W. Lei

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Visual attention of human visual system has significant impact on the performance of video and image processing, encoding and decoding, quality assessment, machine vision, and so on. Visual attention is classified into two types: task-driven and data-driven. The difference between these two types of visual attention is essential to develop computational model. And so far the influential factors for the visual attention with and without task haven't been well studied. In this paper, we developed a 3D correlation analysis to evaluate the difference between these two types of visual attention by using video quality assessment as a task. The result shows a strong impact of task and video content on the ROIs.

Original language	English
Title of host publication	The 1st International Conference on Information Science and Engineering (ICISE2009), Nanjing, China, 26-28 December 2009
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers
Pages	1476-1479
ISBN (Print)	978-1-4244-4909-5
DOIs	https://doi.org/10.1109/ICISE.2009.1217
Publication status	Published - 2009
Externally published	Yes

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10.1109/ICISE.2009.1217

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@inproceedings{99889f4c0ea34ac68422dd09b252efe5,

title = "The impact of task on visual attention",

abstract = "Visual attention of human visual system has significant impact on the performance of video and image processing, encoding and decoding, quality assessment, machine vision, and so on. Visual attention is classified into two types: task-driven and data-driven. The difference between these two types of visual attention is essential to develop computational model. And so far the influential factors for the visual attention with and without task haven't been well studied. In this paper, we developed a 3D correlation analysis to evaluate the difference between these two types of visual attention by using video quality assessment as a task. The result shows a strong impact of task and video content on the ROIs.",

author = "M. Song and JUN Xia and Y. Ling and W. Lei",

year = "2009",

doi = "10.1109/ICISE.2009.1217",

language = "English",

isbn = "978-1-4244-4909-5",

pages = "1476--1479",

booktitle = "The 1st International Conference on Information Science and Engineering (ICISE2009), Nanjing, China, 26-28 December 2009",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

The impact of task on visual attention. / Song, M.; Xia, JUN; Ling, Y. et al.
The 1st International Conference on Information Science and Engineering (ICISE2009), Nanjing, China, 26-28 December 2009. New York: Institute of Electrical and Electronics Engineers, 2009. p. 1476-1479.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - The impact of task on visual attention

AU - Song, M.

AU - Xia, JUN

AU - Ling, Y.

AU - Lei, W.

PY - 2009

Y1 - 2009

N2 - Visual attention of human visual system has significant impact on the performance of video and image processing, encoding and decoding, quality assessment, machine vision, and so on. Visual attention is classified into two types: task-driven and data-driven. The difference between these two types of visual attention is essential to develop computational model. And so far the influential factors for the visual attention with and without task haven't been well studied. In this paper, we developed a 3D correlation analysis to evaluate the difference between these two types of visual attention by using video quality assessment as a task. The result shows a strong impact of task and video content on the ROIs.

AB - Visual attention of human visual system has significant impact on the performance of video and image processing, encoding and decoding, quality assessment, machine vision, and so on. Visual attention is classified into two types: task-driven and data-driven. The difference between these two types of visual attention is essential to develop computational model. And so far the influential factors for the visual attention with and without task haven't been well studied. In this paper, we developed a 3D correlation analysis to evaluate the difference between these two types of visual attention by using video quality assessment as a task. The result shows a strong impact of task and video content on the ROIs.

U2 - 10.1109/ICISE.2009.1217

DO - 10.1109/ICISE.2009.1217

M3 - Conference contribution

SN - 978-1-4244-4909-5

SP - 1476

EP - 1479

BT - The 1st International Conference on Information Science and Engineering (ICISE2009), Nanjing, China, 26-28 December 2009

PB - Institute of Electrical and Electronics Engineers

CY - New York

ER -

The impact of task on visual attention

Abstract

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