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Conference Paper: Sub-scene generation: a step towards complex scene understanding
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TitleSub-scene generation: a step towards complex scene understanding
 
AuthorsZhu, S
Yung, NHC1
 
KeywordsSub-scene
Semantic gap
Complex scene
Color harmony
Image patches
 
Issue Date2011
 
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000477
 
CitationThe 2011 IEEE International Conference on Multimedia and Expo (ICME 2011), Barcelona, Spain, 11-15 July 2011. In Conference Proceedings of ICME, 2011, p. 1-6 [How to Cite?]
DOI: http://dx.doi.org/10.1109/ICME.2011.6011910
 
AbstractThis paper proposes a new method for generating sub-scenes from images of natural scenes. It is based on over-segmented image patches initially and uses rules derived from human psychology to merge the patches into reasonable sub-scenes. This merging process focuses on covering semantic gaps by exploring semantic connections among the patches, such as the influence area of each patch where the potential interaction with other patches may exist; and applying visual organization rules of proximity property and color harmony property. The proposed method is simple yet efficient computationally. It does not have any limitation on the input image class and does not include a training process. Our experiments indicate that it handles complex scenes with clutters and occlusions very well, and outperforms general segmentation methods by its meaningful semantic grouping and self determined stop criteria. © 2011 IEEE.
 
ISBN978-1-61284-350-6
 
DOIhttp://dx.doi.org/10.1109/ICME.2011.6011910
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorZhu, S
 
dc.contributor.authorYung, NHC
 
dc.date.accessioned2012-08-08T09:01:05Z
 
dc.date.available2012-08-08T09:01:05Z
 
dc.date.issued2011
 
dc.description.abstractThis paper proposes a new method for generating sub-scenes from images of natural scenes. It is based on over-segmented image patches initially and uses rules derived from human psychology to merge the patches into reasonable sub-scenes. This merging process focuses on covering semantic gaps by exploring semantic connections among the patches, such as the influence area of each patch where the potential interaction with other patches may exist; and applying visual organization rules of proximity property and color harmony property. The proposed method is simple yet efficient computationally. It does not have any limitation on the input image class and does not include a training process. Our experiments indicate that it handles complex scenes with clutters and occlusions very well, and outperforms general segmentation methods by its meaningful semantic grouping and self determined stop criteria. © 2011 IEEE.
 
dc.description.naturepublished_or_final_version
 
dc.description.otherThe 2011 IEEE International Conference on Multimedia and Expo (ICME 2011), Barcelona, Spain, 11-15 July 2011. In Conference Proceedings of ICME, 2011, p. 1-6
 
dc.identifier.citationThe 2011 IEEE International Conference on Multimedia and Expo (ICME 2011), Barcelona, Spain, 11-15 July 2011. In Conference Proceedings of ICME, 2011, p. 1-6 [How to Cite?]
DOI: http://dx.doi.org/10.1109/ICME.2011.6011910
 
dc.identifier.doihttp://dx.doi.org/10.1109/ICME.2011.6011910
 
dc.identifier.epage6
 
dc.identifier.hkuros201096
 
dc.identifier.isbn978-1-61284-350-6
 
dc.identifier.scopuseid_2-s2.0-80155132496
 
dc.identifier.spage1
 
dc.identifier.urihttp://hdl.handle.net/10722/158735
 
dc.languageeng
 
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000477
 
dc.publisher.placeUnited States
 
dc.relation.ispartofIEEE International Conference on Multimedia and Expo Proceedings
 
dc.relation.referencesReferences in Scopus
 
dc.rightsIEEE International Conference on Multimedia and Expo. Copyright © IEEE.
 
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
dc.subjectSub-scene
 
dc.subjectSemantic gap
 
dc.subjectComplex scene
 
dc.subjectColor harmony
 
dc.subjectImage patches
 
dc.titleSub-scene generation: a step towards complex scene understanding
 
dc.typeConference_Paper
 
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Author Affiliations
  1. The University of Hong Kong