메뉴 건너뛰기




Volumn , Issue , 2015, Pages 156-161

Recognizing the sentiments of web images using hand-designed features

Author keywords

Bag of visual word; Color composition; Hand designed feature; Human affects; Image sentiment analysis

Indexed keywords

DATA MINING; INFORMATION SCIENCE; SEMANTICS;

EID: 84960858166     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCI-CC.2015.7259380     Document Type: Conference Paper
Times cited : (7)

References (13)
  • 1
    • 84887499660 scopus 로고    scopus 로고
    • Large-scale visual sentiment ontology and detectors using adjective noun pairs
    • D. Borth, R. Ji, T. Chen, T. Breuel, and S. Chang, "Large-scale visual sentiment ontology and detectors using adjective noun pairs," ACM 21 Conf. Multimedia, pp. 223-232, 2013.
    • (2013) ACM 21 Conf. Multimedia , pp. 223-232
    • Borth, D.1    Ji, R.2    Chen, T.3    Breuel, T.4    Chang, S.5
  • 2
    • 33745872970 scopus 로고    scopus 로고
    • Studying aesthetics in photographic images using a computational approach
    • R. Datta, D. Joshi, J. Li, and J. Z. Wang, "Studying aesthetics in photographic images using a computational approach," 9th European Conf. on Computer Vision, pp. 288-301, 2006.
    • (2006) 9th European Conf. on Computer Vision , pp. 288-301
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.Z.4
  • 6
    • 84862181142 scopus 로고    scopus 로고
    • Probabilistic affective modell with probabilistic latent semantic analysis for predicting human affect
    • Y. Shin and E. Y. Kim, "Probabilistic affective modell with probabilistic latent semantic analysis for predicting human affect," 151 Conf. Pattern Recognition Applications and Methods, 2012.
    • (2012) 151 Conf. Pattern Recognition Applications and Methods
    • Shin, Y.1    Kim, E.Y.2
  • 7
    • 84871390795 scopus 로고    scopus 로고
    • Can we understand van Gogh's mood: Learning to infer affects from images in social networks
    • J. Jia, S. Wu, X. Wang, P. Hu, L. Cai, J. Tang, "Can we understand van Gogh's mood: learning to infer affects from images in social networks," ACM Multimedia 2012, pp. 857-860.
    • (2012) ACM Multimedia , pp. 857-860
    • Jia, J.1    Wu, S.2    Wang, X.3    Hu, P.4    Cai, L.5    Tang, J.6
  • 8
    • 63749112816 scopus 로고    scopus 로고
    • Aesthetic visual quality assessment of paintings
    • April
    • C. Li, and T. Chen. "Aesthetic visual quality assessment of paintings," IEEE J. Sel. Top. Sig. Proc. vol. 3, pp. 236-252, April 2009.
    • (2009) IEEE J. Sel. Top. Sig. Proc , vol.3 , pp. 236-252
    • Li, C.1    Chen, T.2
  • 9
    • 84866653001 scopus 로고    scopus 로고
    • A v A: A large-scale database for aesthetic visual analysis
    • N. Murray, L. Marchesotti, F. Perronnin, "A V A: A large-scale database for aesthetic visual analysis," CVPR 2012, pp. 2408-24IS.
    • (2012) CVPR , pp. 2408-2415
    • Murray, N.1    Marchesotti, L.2    Perronnin, F.3
  • 11
    • 68849118537 scopus 로고    scopus 로고
    • Image emotional classification based on color sematic description
    • K. Wei, B. He, T. Zhang, W. He, "Image emotional classification based on color sematic description," ADMA 2008, pp. 485-491.
    • (2008) ADMA , pp. 485-491
    • Wei, K.1    He, B.2    Zhang, T.3    He, W.4
  • 12
    • 70449720538 scopus 로고    scopus 로고
    • Automatic textile image annotation by predicting emotional concept from visual features
    • Mar
    • Y. Shin and E. Y. Kim, "Automatic textile image annotation by predicting emotional concept from visual features," Journal of Image and Video Computing, vo1. 28, pp. 526-537, Mar 2010.
    • (2010) Journal of Image and Video Computing , vol.28 , pp. 526-537
    • Shin, Y.1    Kim, E.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.