Toward real-time and cooperative mobile visual sensing and sharing

Huihui Chen, Bin Guo, Zhiwen Yu, Qi Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

40 Scopus citations

Abstract

Mobile social media enables people to record ongoing physical events they witness and share them instantaneously online. However, since these event pictures are often individually provided, they are typically fragmented and possess high redundancy. Though there have been studies about visual event summarization, they pay little attention to collaborative sensing, subevent detection, and event summary. In this paper, we present several building blocks for a cooperative visual sensing and sharing system. We create a virtual opportunistic community associated with an event, where members collaborate to cover different aspects of the event. More specifically, a crowd-powered approach is first used to localize the event. We then propose three subevent segmentation methods based on crowd-event interaction patterns. Based on the segmentation results, we summarize the event at two levels: multi-facet subevent summary and crowd-behavior-based highlights. Experiments over 21 online datasets and two real world datasets demonstrate the effectiveness of our approaches.

Original languageEnglish
Title of host publicationIEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467399531
DOIs
StatePublished - 27 Jul 2016
Event35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - San Francisco, United States
Duration: 10 Apr 201614 Apr 2016

Publication series

NameProceedings - IEEE INFOCOM
Volume2016-July
ISSN (Print)0743-166X

Conference

Conference35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
Country/TerritoryUnited States
CitySan Francisco
Period10/04/1614/04/16

Fingerprint

Dive into the research topics of 'Toward real-time and cooperative mobile visual sensing and sharing'. Together they form a unique fingerprint.

Cite this