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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/6758
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dc.contributor.authorChoi, Kai Chunen_US
dc.date.accessioned2012-09-07T06:34:58Z
dc.date.accessioned2017-09-19T08:50:52Z
dc.date.accessioned2019-02-12T06:53:03Z-
dc.date.available2012-09-07T06:34:58Z
dc.date.available2017-09-19T08:50:52Z
dc.date.available2019-02-12T06:53:03Z-
dc.date.issued2012en_US
dc.identifier.other2012csckc231en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/6758-
dc.description.abstractAs the information burst fast in 21th century, peoples are easily out of track of an event progress (e.c. news event progress). Currently, Temporal Event Map (TEM) is introduced by Li et al. [3] to give a whole view on an event progress. However, the TEM is presented in text form with edges between nodes indicating event relationship. It is not readable friendly for people to understand what the event nodes talk about. Therefore, in order to improve its readability and saving reader’s time, the problem of finding and attaching representative image of event node is formulized in this study and some approaches are proposed to deal with the problem. Image Event Relationship System model is proposed and we defined three kinds of correlations which are text-image correlation (ITC), event-image correlation and event node-event node correlation. We also proposed methods to handle these correlations and thus representative image for event nodes of a TEM can be found.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleImage-event relationship analysis for finding and attaching representative images to event nodes of a temporal event mapen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.description.supervisorSupervisor: Prof. Li, Qing; First Reader: Dr. Yang, Qingxiong; Second Reader: Dr. Chan, Edwarden_US
Appears in Collections:Computer Science - Undergraduate Final Year Projects 

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