"What Is Optical Flow For?'': Workshop Results and Summary

Fatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditionally, computer vision problems have been classified into three levels: low (image to image), middle (image to features), and high (features to analysis) [11]. Some typical low-level vision problems include optical flow [7], stereo [10] and intrinsic image decomposition [1]. The solution to these problems would then be combined to solve higher level problems, such as action recognition and visual question answering.
Original languageEnglish
Title of host publicationComputer Vision - ECCV 2018 Workshops
EditorsLaura Leal-Taixé, Stefan Roth
Place of PublicationCham
PublisherSpringer
Pages731-739
Number of pages9
Volume11134
ISBN (Print)978-3-030-11024-6
DOIs
Publication statusE-pub ahead of print - 23 Jan 2019
EventEuropean Conference on Computer Vision 2018 - Munich, Germany
Duration: 8 Sept 201814 Sept 2018
https://eccv2018.org/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Cham
Volume11134
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameImage Processing, Computer Vision, Pattern Recognition, and Graphics
Volume11134

Conference

ConferenceEuropean Conference on Computer Vision 2018
Abbreviated titleECCV 2018
Country/TerritoryGermany
CityMunich
Period8/09/1814/09/18
Internet address

Fingerprint

Dive into the research topics of '"What Is Optical Flow For?'': Workshop Results and Summary'. Together they form a unique fingerprint.

Cite this