Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Computer Vision Methods for Fast Ima...
~
Scherer, Rafał.
Computer Vision Methods for Fast Image Classification and Retrieval
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computer Vision Methods for Fast Image Classification and Retrieval/ by Rafał Scherer.
Author:
Scherer, Rafał.
Description:
IX, 137 p. 85 illus., 55 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-12195-2
ISBN:
9783030121952
Computer Vision Methods for Fast Image Classification and Retrieval
Scherer, Rafał.
Computer Vision Methods for Fast Image Classification and Retrieval
[electronic resource] /by Rafał Scherer. - 1st ed. 2020. - IX, 137 p. 85 illus., 55 illus. in color.online resource. - Studies in Computational Intelligence,8211860-949X ;. - Studies in Computational Intelligence,564.
Preface -- Chapter 1. Introduction -- Chapter 2. Feature Detection -- Chapter 3. Image Indexing Techniques -- Chapter 4. Novel Methods for Image Description -- Chapter 5. Image Retrieval and Classification in Relational Databases etc.
The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
ISBN: 9783030121952
Standard No.: 10.1007/978-3-030-12195-2doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Computer Vision Methods for Fast Image Classification and Retrieval
LDR
:02611nam a22004095i 4500
001
1022753
003
DE-He213
005
20200703185533.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030121952
$9
978-3-030-12195-2
024
7
$a
10.1007/978-3-030-12195-2
$2
doi
035
$a
978-3-030-12195-2
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
Scherer, Rafał.
$e
editor.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1267999
245
1 0
$a
Computer Vision Methods for Fast Image Classification and Retrieval
$h
[electronic resource] /
$c
by Rafał Scherer.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
IX, 137 p. 85 illus., 55 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
Studies in Computational Intelligence,
$x
1860-949X ;
$v
821
505
0
$a
Preface -- Chapter 1. Introduction -- Chapter 2. Feature Detection -- Chapter 3. Image Indexing Techniques -- Chapter 4. Novel Methods for Image Description -- Chapter 5. Image Retrieval and Classification in Relational Databases etc.
520
$a
The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Optical data processing.
$3
639187
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Image Processing and Computer Vision.
$3
670819
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030121945
776
0 8
$i
Printed edition:
$z
9783030121969
776
0 8
$i
Printed edition:
$z
9783030121976
830
0
$a
Studies in Computational Intelligence,
$x
1860-949X ;
$v
564
$3
1253640
856
4 0
$u
https://doi.org/10.1007/978-3-030-12195-2
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login