File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김광인

Kim, Kwang In
Machine Learning and Vision Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.number 3 -
dc.citation.startPage 13 -
dc.citation.title ACM TRANSACTIONS ON APPLIED PERCEPTION -
dc.citation.volume 10 -
dc.contributor.author Tompkin, James -
dc.contributor.author Kim, Min H. -
dc.contributor.author Kim, Kwang In -
dc.contributor.author Kautz, Jan -
dc.contributor.author Theobalt, Christian -
dc.date.accessioned 2023-12-22T03:39:04Z -
dc.date.available 2023-12-22T03:39:04Z -
dc.date.created 2019-02-25 -
dc.date.issued 2013-08 -
dc.description.abstract Emerging interfaces for video collections of places attempt to link similar content with seamless transitions. However, the automatic computer vision techniques that enable these transitions have many failure cases which lead to artifacts in the final rendered transition. Under these conditions, which transitions are preferred by participants and which artifacts are most objectionable? We perform an experiment with participants comparing seven transition types, from movie cuts and dissolves to image-based warps and virtual camera transitions, across five scenes in a city. This document describes how we condition this experiment on slight and considerable view change cases, and how we analyze the feedback from participants to find their preference for transition types and artifacts. We discover that transition preference varies with view change, that automatic rendered transitions are significantly preferred even with some artifacts, and that dissolve transitions are comparable to less-sophisticated rendered transitions. This leads to insights into what visual features are important to maintain in a rendered transition, and to an artifact ordering within our transitions. -
dc.identifier.bibliographicCitation ACM TRANSACTIONS ON APPLIED PERCEPTION, v.10, no.3, pp.13 -
dc.identifier.doi 10.1145/2501601 -
dc.identifier.issn 1544-3558 -
dc.identifier.scopusid 2-s2.0-84896939989 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/26252 -
dc.identifier.wosid 000323504700002 -
dc.language 영어 -
dc.publisher ASSOC COMPUTING MACHINERY -
dc.title Preference and Artifact Analysis for Video Transitions of Places -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Computer Science, Software Engineering -
dc.relation.journalResearchArea Computer Science -
dc.type.docType Article; Proceedings Paper -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Video-based rendering -
dc.subject.keywordAuthor video transition artifacts -
dc.subject.keywordAuthor Human factors -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.