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Volumn , Issue , 2009, Pages 1436-1439

Queries and tags in affect-based multimedia retrieval

Author keywords

Arousal; Emotions; Indexing and retrieval; Tagging; Valence

Indexed keywords

AROUSAL; EMOTIONS; INDEXING AND RETRIEVAL; TAGGING; VALENCE;

EID: 70350704456     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2009.5202772     Document Type: Conference Paper
Times cited : (42)

References (12)
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  • 4
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    • The holy grail of multimedia information retrieval: So close or yet so far away?
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    • Girlfriends and Strawberry Jam: Tagging Memories, Experiences, and Events
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  • 9
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    • Multimedia indexing through multi-source and multi-language information extraction: The MUMIS project
    • H. Saggion, H. Cunningham, K. Bontcheva, D. Maynard, O. Hamza, and Y. Wilks, "Multimedia indexing through multi-source and multi-language information extraction: the MUMIS project," Data & Knowledge Engineering, vol. 48, no. 2, pp. 247-264, 2004.
    • (2004) Data & Knowledge Engineering , vol.48 , Issue.2 , pp. 247-264
    • Saggion, H.1    Cunningham, H.2    Bontcheva, K.3    Maynard, D.4    Hamza, O.5    Wilks, Y.6
  • 10
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    • Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses
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    • M. Soleymani, G. Chanel, J. J. M. Kierkels, and T. Pun, "Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses," IEEE International Symposium on Multimedia, Berkeley, December 15-17, 2008.
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.