語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
From Human Attention to Computationa...
~
Riche, Nicolas.
From Human Attention to Computational Attention = A Multidisciplinary Approach /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
From Human Attention to Computational Attention/ edited by Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor.
其他題名:
A Multidisciplinary Approach /
其他作者:
Mancas, Matei.
面頁冊數:
VIII, 463 p. 237 illus., 186 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Signal processing. -
電子資源:
https://doi.org/10.1007/978-1-4939-3435-5
ISBN:
9781493934355
From Human Attention to Computational Attention = A Multidisciplinary Approach /
From Human Attention to Computational Attention
A Multidisciplinary Approach /[electronic resource] :edited by Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor. - 1st ed. 2016. - VIII, 463 p. 237 illus., 186 illus. in color.online resource. - Springer Series in Cognitive and Neural Systems,102363-9105 ;. - Springer Series in Cognitive and Neural Systems,10.
Foreword, V. Cutsuridis -- 1 Why modeling attention in computers?, M. Mancas, V. Ferrera, N. Riche -- 2 What is attention?, M. Mancas -- 3 How to measure attention?, M. Mancas, V. Ferrera -- 4 Where: Human attention networks and their dysfunctions after brain damage, T. Seidel Malkinson, P. Bartolomeo -- 5 Attention and Signal Detection: A Practical Guide, V. Ferrera -- 6 Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination, V. Ferrera -- 7 Modeling attention in engineering, M. Mancas -- 8 Bottom-Up Visual Attention for Still Images: a Global View, F. Stentiford -- 9 Bottom-up saliency models for still images: a practical review, N. Riche and M. Mancas -- 10 Bottom-up saliency models for videos: a practical review, N. Riche and M. Mancas -- 11 Databases for saliency models evaluation, N. Riche -- 12 Metrics for saliency models validation, N. Riche -- 13 Study of parameters affecting visual saliency assessment, N. Riche -- 14 Saliency models evaluation, N. Riche -- 15 Object-based Attention: cognitive and computational perspectives, A. Belardinelli -- 16 Multimodal saliency models for videos, Antoine Coutrot, Nathalie Guyader -- 17 Towards 3D visual saliency modelling, J. Leroy, N. Riche -- 18 Applications of saliency models, M. Mancas, O. Le Meur -- 19 Attentive Content-Based Image Retrieval, D. Awad, V. Courboulay, A. Revel -- 20 Saliency and Attention for Video Quality Assessment, D. Culibrk -- 21 Attentive Robots, S. Frintrop -- 22 Attention modeling: what are the next steps?, M. Mancas, V. Ferrera, N. Riche -- Index.
This both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines. What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from this book’s introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value in this book, from students to researchers and those in industry. .
ISBN: 9781493934355
Standard No.: 10.1007/978-1-4939-3435-5doiSubjects--Topical Terms:
561459
Signal processing.
LC Class. No.: RC321-580
Dewey Class. No.: 612.8
From Human Attention to Computational Attention = A Multidisciplinary Approach /
LDR
:04478nam a22004095i 4500
001
976818
003
DE-He213
005
20200706060046.0
007
cr nn 008mamaa
008
201211s2016 xxu| s |||| 0|eng d
020
$a
9781493934355
$9
978-1-4939-3435-5
024
7
$a
10.1007/978-1-4939-3435-5
$2
doi
035
$a
978-1-4939-3435-5
050
4
$a
RC321-580
072
7
$a
PSAN
$2
bicssc
072
7
$a
MED057000
$2
bisacsh
072
7
$a
PSAN
$2
thema
082
0 4
$a
612.8
$2
23
245
1 0
$a
From Human Attention to Computational Attention
$h
[electronic resource] :
$b
A Multidisciplinary Approach /
$c
edited by Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor.
250
$a
1st ed. 2016.
264
1
$a
New York, NY :
$b
Springer New York :
$b
Imprint: Springer,
$c
2016.
300
$a
VIII, 463 p. 237 illus., 186 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Springer Series in Cognitive and Neural Systems,
$x
2363-9105 ;
$v
10
505
0
$a
Foreword, V. Cutsuridis -- 1 Why modeling attention in computers?, M. Mancas, V. Ferrera, N. Riche -- 2 What is attention?, M. Mancas -- 3 How to measure attention?, M. Mancas, V. Ferrera -- 4 Where: Human attention networks and their dysfunctions after brain damage, T. Seidel Malkinson, P. Bartolomeo -- 5 Attention and Signal Detection: A Practical Guide, V. Ferrera -- 6 Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination, V. Ferrera -- 7 Modeling attention in engineering, M. Mancas -- 8 Bottom-Up Visual Attention for Still Images: a Global View, F. Stentiford -- 9 Bottom-up saliency models for still images: a practical review, N. Riche and M. Mancas -- 10 Bottom-up saliency models for videos: a practical review, N. Riche and M. Mancas -- 11 Databases for saliency models evaluation, N. Riche -- 12 Metrics for saliency models validation, N. Riche -- 13 Study of parameters affecting visual saliency assessment, N. Riche -- 14 Saliency models evaluation, N. Riche -- 15 Object-based Attention: cognitive and computational perspectives, A. Belardinelli -- 16 Multimodal saliency models for videos, Antoine Coutrot, Nathalie Guyader -- 17 Towards 3D visual saliency modelling, J. Leroy, N. Riche -- 18 Applications of saliency models, M. Mancas, O. Le Meur -- 19 Attentive Content-Based Image Retrieval, D. Awad, V. Courboulay, A. Revel -- 20 Saliency and Attention for Video Quality Assessment, D. Culibrk -- 21 Attentive Robots, S. Frintrop -- 22 Attention modeling: what are the next steps?, M. Mancas, V. Ferrera, N. Riche -- Index.
520
$a
This both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines. What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from this book’s introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value in this book, from students to researchers and those in industry. .
650
0
$a
Signal processing.
$3
561459
650
0
$a
Neurosciences.
$3
593561
650
0
$a
Optical data processing.
$3
639187
650
0
$a
Image processing.
$3
557495
650
0
$a
Speech processing systems.
$3
564428
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Human physiology.
$3
636012
650
2 4
$a
Image Processing and Computer Vision.
$3
670819
650
2 4
$a
Signal, Image and Speech Processing.
$3
670837
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Human Physiology.
$3
668349
700
1
$a
Mancas, Matei.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1079103
700
1
$a
Ferrera, Vincent P.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1270734
700
1
$a
Riche, Nicolas.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1270735
700
1
$a
Taylor, John G.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
783889
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781493934331
776
0 8
$i
Printed edition:
$z
9781493934348
776
0 8
$i
Printed edition:
$z
9781493980505
830
0
$a
Springer Series in Cognitive and Neural Systems,
$x
2363-9105 ;
$v
10
$3
1270736
856
4 0
$u
https://doi.org/10.1007/978-1-4939-3435-5
912
$a
ZDB-2-SBL
912
$a
ZDB-2-SXB
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
950
$a
Biomedical and Life Sciences (R0) (SpringerNature-43708)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入