Eye-Tracking Database for a Set of Standard Video Sequences

被引：82

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

页码：898 / 903

页数：7

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