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Volumn , Issue , 2015, Pages 1494-1504

Translating videos to natural language using deep recurrent neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; RECURRENT NEURAL NETWORKS; TRANSLATION (LANGUAGES);

EID: 84959876769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/n15-1173     Document Type: Conference Paper
Times cited : (526)

References (48)
  • 26
    • 0036843382 scopus 로고    scopus 로고
    • Natural language description of human activities from video images based on concept hierarchy of actions
    • A. Kojima, T. Tamura, and K. Fukunaga. 2002. Natural language description of human activities from video images based on concept hierarchy of actions. International Journal of Computer Vision (IJCV), 50(2).
    • (2002) International Journal of Computer Vision (IJCV) , vol.50 , Issue.2
    • Kojima, A.1    Tamura, T.2    Fukunaga, K.3
  • 42
    • 84951910303 scopus 로고    scopus 로고
    • Show and tell: A neural image caption generator
    • abs/1411.4555
    • Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2014. Show and tell: A neural image caption generator. CoRR, abs/1411.4555.
    • (2014) CoRR
    • Vinyals, O.1    Toshev, A.2    Bengio, S.3    Erhan, D.4
  • 44
    • 84940762015 scopus 로고    scopus 로고
    • Jointly modeling deep video and compositional text to bridge vision and language in a unified framework
    • R. Xu, C. Xiong,W. Chen, and J. J. Corso. 2015. Jointly modeling deep video and compositional text to bridge vision and language in a unified framework. In AAAI Conference on Artificial Intelligence (AAAI).
    • (2015) AAAI Conference on Artificial Intelligence (AAAI)
    • Xu, R.1    Xiongw. Chen, C.2    Corso, J.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.