Eye-Tracking Database for a Set of Standard Video Sequences

被引：87
|
作者：
Hadizadeh, Hadi [1 ]
Enriquez, Mario J. [1 ]
Bajic, Ivan V. [1 ]
机构：
[1] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC V5A 1S6, Canada
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 2012年 / 21卷 / 02期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Gaze tracking; video compression; VISUAL-ATTENTION; MODEL;
D O I：
10.1109/TIP.2011.2165292
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This correspondence describes a publicly available database of eye-tracking data, collected on a set of standard video sequences that are frequently used in video compression, processing, and transmission simulations. A unique feature of this database is that it contains eye-tracking data for both the first and second viewings of the sequence. We have made available the uncompressed video sequences and the raw eye-tracking data for each sequence, along with different visualizations of the data and a preliminary analysis based on two well-known visual attention models.
引用
收藏
页码：898 / 903
页数：7
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