Please use this identifier to cite or link to this item:
https://doi.org/10.1145/2393347.2396461
DC Field | Value | |
---|---|---|
dc.title | DVS: A dynamic multi-video summarization system of sensor-rich videos in geo-space | |
dc.contributor.author | Zhang, Y. | |
dc.contributor.author | Zimmermann, R. | |
dc.date.accessioned | 2013-07-04T08:25:30Z | |
dc.date.available | 2013-07-04T08:25:30Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Zhang, Y.,Zimmermann, R. (2012). DVS: A dynamic multi-video summarization system of sensor-rich videos in geo-space. MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia : 1317-1318. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/2393347.2396461" target="_blank">https://doi.org/10.1145/2393347.2396461</a> | |
dc.identifier.isbn | 9781450310895 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/41352 | |
dc.description.abstract | It is now very easy to produce user generated videos (UGV) due to progress in camera and recording technologies on mobile devices, such as smartphones. Additionally, the ubiquitous, built-in sensors in digital devices can greatly enrich these videos with sensor descriptions, for example geo-spatial properties. A repository of such sensor-rich videos is a valuable source of information for prospective tourists when they plan to visit a city and would like to get a preview of its main attractions. Inspired by this, we have built an interactive geo-video search system. On a given map, a user specifies a start point and a destination and the system dynamically retrieves a video summarization along the path between the two points. Moreover, the user can interactively update the query during the video playback by dragging the route on the map. The main features of our technique are, first, that it is fully automatic and leverages sensor meta-data information which is acquired in conjunction with videos. Second, the system dynamically adapts to query updates in real-time. Third, a concise but comprehensive summarization from multiple user generated videos is presented for any queried route. © 2012 Authors. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/2393347.2396461 | |
dc.source | Scopus | |
dc.subject | geo-tagging | |
dc.subject | sensor data mining | |
dc.subject | video summarization | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1145/2393347.2396461 | |
dc.description.sourcetitle | MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia | |
dc.description.page | 1317-1318 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.