메뉴 건너뛰기




Volumn , Issue , 2016, Pages 219-228

Much Ado About Time: Exhaustive Annotation of Temporal Data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COST EFFECTIVENESS; INVESTMENTS;

EID: 85167598864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (38)
  • 13
    • 84978730111 scopus 로고    scopus 로고
    • Visual genome: Connecting language and vision using crowdsourced dense image annotations
    • CoRR abs/1602.07332
    • Krishna, R.; Zhu, Y.; Groth, O.; Johnson, J.; Hata, K.; Kravitz, J.; et al. 2016b. Visual genome: Connecting language and vision using crowdsourced dense image annotations. CoRR abs/1602.07332.
    • (2016)
    • Krishna, R.1    Zhu, Y.2    Groth, O.3    Johnson, J.4    Hata, K.5    Kravitz, J.6
  • 18
    • 39749093168 scopus 로고
    • The magical number seven, plus or minus two: some limits on our capacity for processing information
    • Miller, G. A. 1956. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological review 63(2):81.
    • (1956) Psychological review , vol.63 , Issue.2 , pp. 81
    • Miller, G. A.1
  • 20
    • 84900870389 scopus 로고    scopus 로고
    • The SUN attribute database: Beyond categories for deeper scene understanding
    • Patterson, G.; Xu, C.; Su, H.; and Hays, J. 2014. The SUN attribute database: Beyond categories for deeper scene understanding. International Journal of Computer Vision 108(1-2).
    • (2014) International Journal of Computer Vision , vol.108 , Issue.1-2
    • Patterson, G.1    Xu, C.2    Su, H.3    Hays, J.4
  • 23
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • Schapire, R. E., and Singer, Y. 2000. Boostexter: A boosting-based system for text categorization. Machine learning 39(2):135-168.
    • (2000) Machine learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, R. E.1    Singer, Y.2
  • 26
    • 84884955228 scopus 로고    scopus 로고
    • UCF101: A dataset of 101 human actions classes from videos in the wild
    • Soomro, K.; Roshan Zamir, A.; and Shah, M. 2012. UCF101: A dataset of 101 human actions classes from videos in the wild. In CRCV-TR-12-01.
    • (2012) CRCV-TR-12-01
    • Soomro, K.1    Roshan Zamir, A.2    Shah, M.3
  • 27
    • 0029895137 scopus 로고    scopus 로고
    • Speed of processing in the human visual system
    • Thorpe, S.; Fize, D.; Marlot, C.; et al. 1996. Speed of processing in the human visual system. Nature 381(6582):520-522.
    • (1996) Nature , vol.381 , Issue.6582 , pp. 520-522
    • Thorpe, S.1    Fize, D.2    Marlot, C.3
  • 36
    • 84986240394 scopus 로고    scopus 로고
    • Every moment counts: Dense detailed labeling of actions in complex videos
    • CoRR abs/1507.05738
    • Yeung, S.; Russakovsky, O.; Jin, N.; Andriluka, M.; Mori, G.; and Fei-Fei, L. 2015. Every moment counts: Dense detailed labeling of actions in complex videos. CoRR abs/1507.05738.
    • (2015)
    • Yeung, S.1    Russakovsky, O.2    Jin, N.3    Andriluka, M.4    Mori, G.5    Fei-Fei, L.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.