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Volumn 6792 LNCS, Issue PART 2, 2011, Pages 373-380

Gaze- and speech-enhanced content-based image retrieval in image tagging

Author keywords

automatic image tagging; Content based image retrieval; gaze tracking; speech recognition

Indexed keywords

AUTOMATIC IMAGE TAGGING; AUTOMATIC SPEECH RECOGNITION; AUTOMATIC TAGGING; CONTENT BASED IMAGE RETRIEVAL; GAZE TRACKING; IMAGE CONTENT; RELEVANCE FEEDBACK; TASK PERFORMANCE;

EID: 79959367336     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21738-8_48     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 3
    • 43249093335 scopus 로고    scopus 로고
    • Image retrieval: Ideas, influences, and trends of the new age
    • Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys 40(2), 1-60 (2008)
    • (2008) ACM Computing Surveys , vol.40 , Issue.2 , pp. 1-60
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.Z.4
  • 11
    • 34447645656 scopus 로고    scopus 로고
    • Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features
    • Viitaniemi, V., Laaksonen, J.: Evaluating the performance in automatic image annotation: example case by adaptive fusion of global image features. Signal Processing: Image Communications 22(6), 557-568 (2007)
    • (2007) Signal Processing: Image Communications , vol.22 , Issue.6 , pp. 557-568
    • Viitaniemi, V.1    Laaksonen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.