Document Detail


Effective replays and summarization of virtual experiences.
MedLine Citation:
PMID:  22402688     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Direct replay of the experience of a user in a virtual environment is difficult for others to watch due to unnatural camera motions. We present methods for replaying and summarizing these egocentric experiences that effectively communicate the user's observations while reducing unwanted camera movements. Our approach summarizes the viewpoint path as a concise sequence of viewpoints that cover the same parts of the scene. The core of our approach is a novel content-dependent metric that can be used to identify similarities between viewpoints. This enables viewpoints to be grouped by similar contextual view information and provides a means to generate novel viewpoints that can encapsulate a series of views. These resulting encapsulated viewpoints are used to synthesize new camera paths that convey the content of the original viewer's experience. Projecting the initial movement of the user back on the scene can be used to convey the details of their observations, and the extracted viewpoints can serve as bookmarks for control or analysis. Finally we present performance analysis along with two forms of validation to test whether the extracted viewpoints are representative of the viewer's original observations and to test for the overall effectiveness of the presented replay methods.
Authors:
Kevin Ponto; Joe Kohlmann; Michael Gleicher
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  IEEE transactions on visualization and computer graphics     Volume:  18     ISSN:  1941-0506     ISO Abbreviation:  IEEE Trans Vis Comput Graph     Publication Date:  2012 Apr 
Date Detail:
Created Date:  2012-03-09     Completed Date:  2012-07-16     Revised Date:  2014-09-22    
Medline Journal Info:
Nlm Unique ID:  9891704     Medline TA:  IEEE Trans Vis Comput Graph     Country:  United States    
Other Details:
Languages:  eng     Pagination:  607-16     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Computer Graphics*
Humans
Motion
Movement
User-Computer Interface*
Grant Support
ID/Acronym/Agency:
5T15LM007359/LM/NLM NIH HHS; T15 LM007359/LM/NLM NIH HHS; T15 LM007359-01/LM/NLM NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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