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Volumn 5, Issue , 2003, Pages 320-325

Measuring structural similarity of document pages for searching document image databases

Author keywords

Content based Image Retrieval; Image Databases; Image Processing and Applications; Pattern Analysis

Indexed keywords

COLOR; CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; IMAGE ANALYSIS; QUERY LANGUAGES;

EID: 1542411792     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (13)
  • 1
    • 84939326991 scopus 로고
    • An image understanding system using attributed symbolic representation and inexact graph-matching
    • M.A. Eshera, & K.S. Fu. An image understanding system using attributed symbolic representation and inexact graph-matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8:604-618, 1986.
    • (1986) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.8 , pp. 604-618
    • Eshera, M.A.1    Fu, K.S.2
  • 2
    • 0026358087 scopus 로고
    • Retrieval of similar pictures in pictorial databases
    • C. Chang, & S. Lee. Retrieval of similar pictures in pictorial databases, Pattern Recognition, 24:675-680, 1991.
    • (1991) Pattern Recognition , vol.24 , pp. 675-680
    • Chang, C.1    Lee, S.2
  • 3
    • 0024831085 scopus 로고
    • Similarity retrieval of iconic image database
    • S.Y. Lee, M.K. Shan, & W.P. Yang. Similarity retrieval of iconic image database, Pattern Recognition, 22:675-682, 1989.
    • (1989) Pattern Recognition , vol.22 , pp. 675-682
    • Lee, S.Y.1    Shan, M.K.2    Yang, W.P.3
  • 6
    • 0003995970 scopus 로고
    • Similarity searching in large image databases
    • University of Maryland
    • E.G.M. Petrakis, & C. Faloutsos. Similarity searching in large image databases. Technical Report CS-TR-3388, University of Maryland, 1994.
    • (1994) Technical Report , vol.CS-TR-3388
    • Petrakis, E.G.M.1    Faloutsos, C.2
  • 8
    • 0030389403 scopus 로고    scopus 로고
    • VisualSEEk: A fully automated content-based image query system
    • J. Smith, & S. Chang. VisualSEEk: A fully automated content-based image query system, Proc. ACM Multimedia, 1996.
    • (1996) Proc. ACM Multimedia
    • Smith, J.1    Chang, S.2
  • 12
    • 0038217205 scopus 로고    scopus 로고
    • Classification of Document Pages Using Structure-Based Features, Special Issue on Document Analysis Systems
    • May
    • Shin, C., Doermann, D., Rosenfeld, A., Classification of Document Pages Using Structure-Based Features, Special Issue on Document Analysis Systems, International Journal on Document Analysis and Recognition, pages 232-247, May 2001.
    • (2001) International Journal on Document Analysis and Recognition , pp. 232-247
    • Shin, C.1    Doermann, D.2    Rosenfeld, A.3
  • 13


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.