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Volumn , Issue , 2009, Pages 650-653

A new video text extraction approach

Author keywords

Character segmentation; Edge map; k means; Text extraction

Indexed keywords

CHARACTER BOUNDARIES; CHARACTER EXTRACTION; CHARACTER SEGMENTATION; EDGE MAP; K-MEANS; K-MEANS CLUSTERING; LOW RESOLUTION; TEXT EXTRACTION; TV NEWS; VIDEO CONTENTS; VIDEO-TEXT EXTRACTION;

EID: 70449556921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2009.5202580     Document Type: Conference Paper
Times cited : (16)

References (10)
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    • Lyu, M.R.1    Song, J.2    Cai, M.3
  • 2
    • 84945896260 scopus 로고    scopus 로고
    • Comparison of Some Thresholding Algorithms for Text /Background Segmentation in Difficult Document Images
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  • 3
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    • Wu, S.1    Amin, A.2
  • 4
    • 0141695187 scopus 로고    scopus 로고
    • Text Enhancement with Asymmetric Filter for Video OCR
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    • Chen, D.1    Shearer, K.2    Bourlard, H.3
  • 5
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    • Text Detection and Segmentation in Complex Color Images
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    • (2000) Proc. of ICASSP 2000 , vol.4 , pp. 2326-2330
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  • 6
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    • Serialized Unsupervised Classifier for Adaptive Color Image Segmentation: Application to Digitized Ancient Manuscripts
    • Y. Leydier, F. Le Bourgeois, and H. Emptoz, "Serialized Unsupervised Classifier for Adaptive Color Image Segmentation: Application to Digitized Ancient Manuscripts", Proc. of ICPR, pp. 494-497, 2004.
    • (2004) Proc. of ICPR , pp. 494-497
    • Leydier, Y.1    Le Bourgeois, F.2    Emptoz, H.3
  • 7
    • 33947373001 scopus 로고    scopus 로고
    • Color Text Extraction from Camera-based Images, the Impact of the Choice of the Clustering Distance
    • Mancas-Thillou, C.; Gosselin, B., "Color Text Extraction from Camera-based Images, the Impact of the Choice of the Clustering Distance", ICDAR, Vol. 1, pp. 312-316, 2005.
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    • Mancas-Thillou, C.1    Gosselin, B.2
  • 8
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    • A Novel Video Text Detection and Localization Approach
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  • 10
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    • A Threshold Selection Method from Gray-level Histograms
    • Jan
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.