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
Multimodal Computational Attention f...
~
Schauerte, Boris.
Multimodal Computational Attention for Scene Understanding and Robotics
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Multimodal Computational Attention for Scene Understanding and Robotics/ by Boris Schauerte.
作者:
Schauerte, Boris.
面頁冊數:
XXIV, 203 p. 55 illus., 51 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-33796-8
ISBN:
9783319337968
Multimodal Computational Attention for Scene Understanding and Robotics
Schauerte, Boris.
Multimodal Computational Attention for Scene Understanding and Robotics
[electronic resource] /by Boris Schauerte. - 1st ed. 2016. - XXIV, 203 p. 55 illus., 51 illus. in color.online resource. - Cognitive Systems Monographs,301867-4925 ;. - Cognitive Systems Monographs,26.
Introduction -- Background -- Bottom-up Audio-Visual Attention for Scene Exploration -- Multimodal Attention with Top-Down Guidance -- Conclusion -- Applications -- Dataset Overview.
This book presents state-of-the-art computational attention models that have been successfully tested in diverse application areas and can build the foundation for artificial systems to efficiently explore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recent computational attention models for processing visual and acoustic input. It covers the biological background of visual and auditory attention, as well as bottom-up and top-down attentional mechanisms and discusses various applications. In the first part new approaches for bottom-up visual and acoustic saliency models are presented and applied to the task of audio-visual scene exploration of a robot. In the second part the influence of top-down cues for attention modeling is investigated. .
ISBN: 9783319337968
Standard No.: 10.1007/978-3-319-33796-8doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Multimodal Computational Attention for Scene Understanding and Robotics
LDR
:02384nam a22004095i 4500
001
972126
003
DE-He213
005
20200630040353.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783319337968
$9
978-3-319-33796-8
024
7
$a
10.1007/978-3-319-33796-8
$2
doi
035
$a
978-3-319-33796-8
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Schauerte, Boris.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1109119
245
1 0
$a
Multimodal Computational Attention for Scene Understanding and Robotics
$h
[electronic resource] /
$c
by Boris Schauerte.
250
$a
1st ed. 2016.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
XXIV, 203 p. 55 illus., 51 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
Cognitive Systems Monographs,
$x
1867-4925 ;
$v
30
505
0
$a
Introduction -- Background -- Bottom-up Audio-Visual Attention for Scene Exploration -- Multimodal Attention with Top-Down Guidance -- Conclusion -- Applications -- Dataset Overview.
520
$a
This book presents state-of-the-art computational attention models that have been successfully tested in diverse application areas and can build the foundation for artificial systems to efficiently explore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recent computational attention models for processing visual and acoustic input. It covers the biological background of visual and auditory attention, as well as bottom-up and top-down attentional mechanisms and discusses various applications. In the first part new approaches for bottom-up visual and acoustic saliency models are presented and applied to the task of audio-visual scene exploration of a robot. In the second part the influence of top-down cues for attention modeling is investigated. .
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Robotics.
$3
561941
650
0
$a
Automation.
$3
596698
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Optical data processing.
$3
639187
650
0
$a
Pattern recognition.
$3
1253525
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Robotics and Automation.
$3
782979
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Image Processing and Computer Vision.
$3
670819
650
2 4
$a
Pattern Recognition.
$3
669796
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319337944
776
0 8
$i
Printed edition:
$z
9783319337951
776
0 8
$i
Printed edition:
$z
9783319816050
830
0
$a
Cognitive Systems Monographs,
$x
1867-4925 ;
$v
26
$3
1255309
856
4 0
$u
https://doi.org/10.1007/978-3-319-33796-8
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
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