Show simple item record

dc.contributor.authorYang, Feibin
dc.contributor.authorHuang, Qinghua
dc.contributor.authorJin, Lianwen
dc.contributor.authorLiew, Alan Wee-Chung
dc.date.accessioned2017-11-30T03:09:49Z
dc.date.available2017-11-30T03:09:49Z
dc.date.issued2016
dc.identifier.issn0925-2312
dc.identifier.doi10.1016/j.neucom.2014.08.104
dc.identifier.urihttp://hdl.handle.net/10072/142475
dc.description.abstractPhotograph becomes more and more convenient with the rapid growing of smart phones, which makes photo become one of the most widely used social media. In this paper, we have proposed a segmentation and recognition method for multi-model photo event to help users organize and manage their increasing photo collections. Generative model of photo event is built by analyzing time, location, camera parameters and visual content of photos. Expectation-Maximization (EM) learning algorithm is applied to discover the best parameters of the proposed generative model. With the defined model, each photo is categorized into the corresponding event by calculating the maximum posteriori probability. The representativeness of an event is a photo collage constructed by selecting a set of representative photos from the corresponding event. The proposed method is characterized by the following properties: (1) unlike most of the existing photo event segmentation methods, the location of photos is treated as a key feature, (2) the representativeness of an event is a picture collage instead of a single photo, which is not only informative but also very appealing. The experimental results show that the proposed method is effective and efficient on the photo collections from three experienced smart phone users.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom159
dc.relation.ispartofpageto167
dc.relation.ispartofjournalNeurocomputing
dc.relation.ispartofvolume172
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode52
dc.titleSegmentation and recognition of multi-model photo event
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorLiew, Alan Wee-Chung


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record