My Account Log in

1 option

Computer Vision - ECCV 2018 Workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part IV / edited by Laura Leal-Taixé, Stefan Roth.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

View online
Format:
Book
Contributor:
Leal-Taixé, Laura, editor.
Roth, Stefan (Computer scientist), editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11132.
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11132
Language:
English
Subjects (All):
Optical data processing.
Artificial intelligence.
Computer graphics.
Computers, Special purpose.
Image Processing and Computer Vision.
Artificial Intelligence.
Computer Graphics.
Special Purpose and Application-Based Systems.
Local Subjects:
Image Processing and Computer Vision.
Artificial Intelligence.
Computer Graphics.
Special Purpose and Application-Based Systems.
Physical Description:
1 online resource (XXVI, 747 pages) : 326 illustrations, 245 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. 43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.
Contents:
Video Segmentation
PeopleCap 2018: Capturing and Modeling Human Bodies, Faces and Hands
Shortcomings in Vision and Language
YouTube-8M Large-Scale Video Understanding
Compact and Efficient Feature Representation and Learning in Computer Vision
Women in Computer Vision.
Other Format:
Printed edition:
ISBN:
978-3-030-11018-5
9783030110185
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account