Average Common Submatrix: A New Image Distance Measure (Contributo in atti di convegno)

Type
Label
  • Average Common Submatrix: A New Image Distance Measure (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Amelio, Alessia; Pizzuti, Clara (2013)
    Average Common Submatrix: A New Image Distance Measure
    in 17th international Conference on Image Analysis and Processing, ICIAP, Naples, Italy, September 9-13, 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Amelio, Alessia; Pizzuti, Clara (literal)
Pagina inizio
  • 170 (literal)
Pagina fine
  • 180 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 8156 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 8156 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 11 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Natl Res Council Italy CNR (literal)
Titolo
  • Average Common Submatrix: A New Image Distance Measure (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-41180-9 (literal)
Abstract
  • A new information-theoretic distance measure for images is proposed. The measure is based on the concept of average common sub-matrix by considering the pixel matrices associated with the images. An algorithm to compute such a value is described, and its computational complexity analyzed. Experimental results show that the measure is able to discriminate images by correctly reflecting human perception. Furthermore, comparison with state-of-the-art information-theoretic measures, points out that the new measure outperforms these measures in terms of retrieval precision. (literal)
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