To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The perception of symmetry in the moving image: multi-level computational analysis of cinematographic scene structure and its visual reception
University of Bremen, Bremen, Germany.
University of Bremen, Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
University of California, Berkeley, United States.
2016 (English)In: Proceedings of the ACM Symposium on Applied Perception (SAP 2016), Association for Computing Machinery (ACM), 2016, p. 142-142Conference paper, Published paper (Refereed)
Abstract [en]

This research is driven by visuo-spatial perception focussed cognitive film studies, where the key emphasis is on the systematic study and generation of evidence that can characterise and establish correlates between principles for the synthesis of the moving image, and its cognitive (e.g., embodied visuo-auditory, emotional) recipient effects on observers [Suchan and Bhatt 2016b; Suchan and Bhatt 2016a]. Within this context, we focus on the case of "symmetry" in the cinematographic structure of the moving image, and propose a multi-level model of interpreting symmetric patterns therefrom. This provides the foundation for integrating scene analysis with the analysis of its visuo-spatial perception based on eye-tracking data. This is achieved by the integration of: computational semantic interpretation of the scene [Suchan and Bhatt 2016b]-involving scene objects (people, objects in the scene), cinematographic aids (camera movement, shot types, cuts and scene structure)- and perceptual artefacts (fixations, saccades, scan-path, areas of attention).

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016. p. 142-142
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-63596DOI: 10.1145/2931002.2948721Scopus ID: 2-s2.0-85012008507ISBN: 9781450343831 (print)OAI: oai:DiVA.org:oru-63596DiVA, id: diva2:1168917
Conference
ACM Symposium on Applied Perception (SAP 2016), Anaheim, USA, July 22-23, 2016
Available from: 2017-12-21 Created: 2017-12-21 Last updated: 2018-07-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Bhatt, Mehul

Search in DiVA

By author/editor
Bhatt, Mehul
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 336 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf