Interest in video segmentation has grown significantly in recent years, resulting in a large body of works along with advances in both methods and datasets. Progress in video segmentation would enable new approaches to building 3D object models from video, understanding dynamic scenes, robot-object interaction and several other high-level vision tasks. The workshop brought together a broad and representative group of video segmentation researchers working on a wide range of topics. This paper summarizes the panel discussion at the workshop, which focused on three questions: (1) Why does video segmentation currently not meet the performance of image segmentation and what difficulties prevent it from leveraging motion? (2) Is video segmentation a stand-alone problem or should it rather be addressed in combination with recognition and reconstruction? (3) Which are the right video segmentation subtasks the field should focus on, and how can we measure progress?

First international workshop on video segmentation - panel discussion / Brox, T; Galasso, F; Li, F; Rehg, J M; Schiele, B. - 8928:(2015), pp. 383-388. (Intervento presentato al convegno European Conference on Computer Vision tenutosi a Zurich; Switzerland) [10.1007/978-3-319-16220-1_27].

First international workshop on video segmentation - panel discussion

Galasso F;
2015

Abstract

Interest in video segmentation has grown significantly in recent years, resulting in a large body of works along with advances in both methods and datasets. Progress in video segmentation would enable new approaches to building 3D object models from video, understanding dynamic scenes, robot-object interaction and several other high-level vision tasks. The workshop brought together a broad and representative group of video segmentation researchers working on a wide range of topics. This paper summarizes the panel discussion at the workshop, which focused on three questions: (1) Why does video segmentation currently not meet the performance of image segmentation and what difficulties prevent it from leveraging motion? (2) Is video segmentation a stand-alone problem or should it rather be addressed in combination with recognition and reconstruction? (3) Which are the right video segmentation subtasks the field should focus on, and how can we measure progress?
2015
European Conference on Computer Vision
computer vision; machine learning; video segmentation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
First international workshop on video segmentation - panel discussion / Brox, T; Galasso, F; Li, F; Rehg, J M; Schiele, B. - 8928:(2015), pp. 383-388. (Intervento presentato al convegno European Conference on Computer Vision tenutosi a Zurich; Switzerland) [10.1007/978-3-319-16220-1_27].
File allegati a questo prodotto
File Dimensione Formato  
Brox_Video-Segmentation_2015.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 120.43 kB
Formato Adobe PDF
120.43 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1317760
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact