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Volumn 2, Issue , 2008, Pages 692-697

Combined segmentation and visual attention for object categorization and video semantic concepts detection

Author keywords

Graph algorithm; Image segmentation; Object categorization; Semantic concepts detection; Visual attention

Indexed keywords

CALTECH; DATA-SETS; GRAPH ALGORITHM; GRAPH-BASED; HIGH-LEVEL FEATURES; MULTI-CLASS CATEGORIZATIONS; OBJECT BOUNDARIES; OBJECT CATEGORIZATION; REAL-WORLD IMAGES; RECOGNITION ACCURACIES; SEMANTIC CONCEPTS DETECTION; SEMANTIC OBJECTS; VIDEO DATASETS; VISUAL ATTENTION; VISUAL ATTENTION MODELS;

EID: 64049084661     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPCA.2008.4783698     Document Type: Conference Paper
Times cited : (2)

References (13)
  • 3
    • 64049100154 scopus 로고    scopus 로고
    • Yu, S.X., Gross, R., Shi, J., Concurrent object recognition and segmentation by graph partitioning, NIPS, MIT Press (2002) 1383.1390.
    • Yu, S.X., Gross, R., Shi, J., "Concurrent object recognition and segmentation by graph partitioning", NIPS, MIT Press (2002) 1383.1390.
  • 6
    • 64049115436 scopus 로고    scopus 로고
    • Exploiting low-level image segmentation for object recognition
    • DAGM
    • V. Roth and B. Ommer, "Exploiting low-level image segmentation for object recognition", DAGM, 2006.
    • (2006)
    • Roth, V.1    Ommer, B.2
  • 9
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. Lowe., "Object recognition from local scale-invariant features", In Proc. ICCV, pages 1150-1157, 1999.
    • (1999) In Proc. ICCV , pp. 1150-1157
    • Lowe, D.1
  • 11
    • 64049084588 scopus 로고    scopus 로고
    • TREC Video Retrieval Evaluation TRECVID
    • TREC Video Retrieval Evaluation (TRECVID). http://www-nlpir.nist.gov/ projects/trecvid/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.