Please use this identifier to cite or link to this item: https://doi.org/10.1145/1873951.1873962
Title: Crowdsourced automatic zoom and scroll for video retargeting
Authors: Carlier, A. 
Charvillat, V.
Ooi, W.T. 
Grigoras, R.
Morin, G.
Keywords: automatic zoom and pan
crowdsourcing
video retargeting
zoomable video
Issue Date: 2010
Source: Carlier, A.,Charvillat, V.,Ooi, W.T.,Grigoras, R.,Morin, G. (2010). Crowdsourced automatic zoom and scroll for video retargeting. MM'10 - Proceedings of the ACM Multimedia 2010 International Conference : 201-210. ScholarBank@NUS Repository. https://doi.org/10.1145/1873951.1873962
Abstract: Screen size and display resolution limit the experience of watching videos on mobile devices. The viewing experience can be improved by determining important or interesting regions within the video (called regions of interest, or ROIs) and displaying only the ROIs to the viewer. Previous work focuses on analyzing the video content using visual attention model to infer the ROIs. Such content-based technique, however, has limitations. In this paper, we propose an alternative paradigm to infer ROIs from a video. We crowdsource from a large number of users through their implicit viewing behavior using a zoom and pan interface, and infer the ROIs from their collective wisdom. A retargeted video, consisting of relevant shots determined from historical users behavior, can be automatically generated and replayed to subsequent users who would prefer a less interactive viewing experience. This paper presents how we collect the user traces, infer the ROIs and their dynamics, group the ROIs into shots, and automatically reframe those shots to improve the aesthetics of the video. A user study with 48 participants shows that our automatically retargeted video is of comparable quality to one handcrafted by an expert user © 2010 ACM.
Source Title: MM'10 - Proceedings of the ACM Multimedia 2010 International Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/40878
ISBN: 9781605589336
DOI: 10.1145/1873951.1873962
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

23
checked on Jan 10, 2018

Page view(s)

66
checked on Jan 12, 2018

Google ScholarTM

Check

Altmetric


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