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Volumn , Issue , 2008, Pages 358-365

A Novel approach to enable semantic and visual image summarization for exploratory image search

Author keywords

Exploratory search; Image summarization; Representative images; Topic network

Indexed keywords

AUTOMATICALLY GENERATED; EXPLORATORY SEARCH; IMAGE COLLECTIONS; IMAGE SAMPLING; IMAGE SEARCH; QUERY FORMULATION; SEMANTIC LEVELS; SIMILAR IMAGE; VISUAL IMAGE; VISUAL SIMILARITY;

EID: 70450284536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460096.1460155     Document Type: Conference Paper
Times cited : (37)

References (14)
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  • 4
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    • Integrating concept ontology and multi-task learning to achieve more effective classifier training for multi-level image annotation
    • J. Fan, Y. Gao, and H. Luo. Integrating concept ontology and multi-task learning to achieve more effective classifier training for multi-level image annotation. IEEE Trans. on Image Processing, 17(3): 407-426, 2008.
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  • 5
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    • J. Fan, H. Luo, Y. Gao, and R. Jain. Incorporating concept ontology to boost hierarchical classifier training for automatic multi-level video annotation. IEEE Trans. on Multimedia, 9(5): 939-957, 2007.
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    • Nnk networks and automated annotation for browsing large image collections from the world wide web
    • D. Heesch, A. Yavlinsky, and S. Ruger. Nnk networks and automated annotation for browsing large image collections from the world wide web. demo at ACM Multimedia, 2006.
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    • Heesch, D.1    Yavlinsky, A.2    Ruger, S.3
  • 8
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    • Exploratory search: From finding to understanding
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    • Interactive access to large image visualizations using similarity-based visualization
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  • 13
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    • Scene summarization for online image collections
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.