Search (7 results, page 1 of 1)

0.010086811 = product of:
  0.07060768 = sum of:
    0.07060768 = weight(_text_:digital in 172) [ClassicSimilarity], result of:
      0.07060768 = score(doc=172,freq=8.0), product of:
        0.16201277 = queryWeight, product of:
          3.944552 = idf(docFreq=2326, maxDocs=44218)
          0.04107254 = queryNorm
        0.4358155 = fieldWeight in 172, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.944552 = idf(docFreq=2326, maxDocs=44218)
          0.0390625 = fieldNorm(doc=172)
  0.14285715 = coord(1/7)

Abstract

This paper is a current assessment of the status of metadata creation and mapping between catalogerdefined field names and Dublin Core (DC) metadata elements across three digital image collections. The metadata elements that evince the most frequently inaccurate, inconsistent and incomplete DC metadata application are identified. As well, the most frequently occurring locally added metadata elements and associated pattern development are examined. For this, a randomly collected sample of 659 metadata item records from three digital image collections is analyzed. Implications and issues drawn from the evaluation of the current status of metadata creation and mapping are also discussed in relation to the issue of semantic interoperability of concept representation across digital image collections. The findings of the study suggest that conceptual ambiguities and semantic overlaps inherent among some DC metadata elements hinder semantic interoperability. The DC metadata scheme needs to be refined in order to disambiguate semantic relations of certain DC metadata elements that present semantic overlaps and conceptual ambiguities between element names and their corresponding definitions. The findings of the study also suggest that the development of mediation mechanisms such as concept networks that facilitate the metadata creation and mapping process are critically needed for enhancing metadata quality.

0.009985435 = product of:
  0.06989804 = sum of:
    0.06989804 = weight(_text_:digital in 4995) [ClassicSimilarity], result of:
      0.06989804 = score(doc=4995,freq=4.0), product of:
        0.16201277 = queryWeight, product of:
          3.944552 = idf(docFreq=2326, maxDocs=44218)
          0.04107254 = queryNorm
        0.43143538 = fieldWeight in 4995, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.944552 = idf(docFreq=2326, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4995)
  0.14285715 = coord(1/7)

Abstract

This paper discusses the goals and results of the research project Perseus-a as an attempt to improve information retrieval of digital images by automatically connecting them with text-based descriptions. The development uses the image collection of prometheus, the distributed digital image archive for research and studies, the articles of the digitized Reallexikon zur Deutschen Kunstgeschichte, art historical terminological resources and classification data, and an open source system for linguistic and statistic automatic indexing called lingo.

0.009200296 = product of:
  0.06440207 = sum of:
    0.06440207 = weight(_text_:processing in 973) [ClassicSimilarity], result of:
      0.06440207 = score(doc=973,freq=6.0), product of:
        0.1662677 = queryWeight, product of:
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.04107254 = queryNorm
        0.38733965 = fieldWeight in 973, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.0390625 = fieldNorm(doc=973)
  0.14285715 = coord(1/7)

Abstract

XMage is introduced in this paper as a method for partial similarity searching in image databases. Region-based image retrieval is a method of retrieving partially similar images. It has been proposed as a way to accurately process queries in an image database. In region-based image retrieval, region matching is indispensable for computing the partial similarity between two images because the query processing is based upon regions instead of the entire image. A naive method of region matching is a sequential comparison between regions, which causes severe overhead and deteriorates the performance of query processing. In this paper, a new image contents representation, called Condensed eXtended Histogram (CXHistogram), is presented in conjunction with a well-defined distance function CXSim() on the CX-Histogram. The CXSim() is a new image-to-image similarity measure to compute the partial similarity between two images. It achieves the effect of comparing regions of two images by simply comparing the two images. The CXSim() reduces query space by pruning irrelevant images, and it is used as a filtering function before sequential scanning. Extensive experiments were performed on real image data to evaluate XMage. It provides a significant pruning of irrelevant images with no false dismissals. As a consequence, it achieves up to 5.9-fold speed-up in search over the R*-tree search followed by sequential scanning.

Source

Information processing and management. 42(2006) no.2, S.484-502

0.0074365106 = product of:
  0.05205557 = sum of:
    0.05205557 = weight(_text_:processing in 965) [ClassicSimilarity], result of:
      0.05205557 = score(doc=965,freq=2.0), product of:
        0.1662677 = queryWeight, product of:
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.04107254 = queryNorm
        0.3130829 = fieldWeight in 965, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.0546875 = fieldNorm(doc=965)
  0.14285715 = coord(1/7)

Source

Information processing and management. 42(2006) no.3, S.723-728

0.0070607685 = product of:
  0.04942538 = sum of:
    0.04942538 = weight(_text_:digital in 709) [ClassicSimilarity], result of:
      0.04942538 = score(doc=709,freq=2.0), product of:
        0.16201277 = queryWeight, product of:
          3.944552 = idf(docFreq=2326, maxDocs=44218)
          0.04107254 = queryNorm
        0.30507088 = fieldWeight in 709, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.944552 = idf(docFreq=2326, maxDocs=44218)
          0.0546875 = fieldNorm(doc=709)
  0.14285715 = coord(1/7)

Abstract

Faced with increasingly tight budgets many museums have come under pressure to explore new sources of income. The marketing of museum assets seems to offer one possibility especially since there is an apparently insatiable demand for content from the multimedia and 'edutainment' industries. Furthermore, providing access to the cultural heritage of Europe has come to be seen as a major aim of the EU and various programmes have been set up to encourage and facilitate this. Apart from the economic potential of digital museum content, the concomitant legal and security issues are investigated.

0.006374152 = product of:
  0.04461906 = sum of:
    0.04461906 = weight(_text_:processing in 981) [ClassicSimilarity], result of:
      0.04461906 = score(doc=981,freq=2.0), product of:
        0.1662677 = queryWeight, product of:
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.04107254 = queryNorm
        0.26835677 = fieldWeight in 981, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.046875 = fieldNorm(doc=981)
  0.14285715 = coord(1/7)

Source

Information processing and management. 42(2006) no.4, S.1030-1055

0.001192449 = product of:
  0.0083471425 = sum of:
    0.0083471425 = product of:
      0.016694285 = sum of:
        0.016694285 = weight(_text_:22 in 4054) [ClassicSimilarity], result of:
          0.016694285 = score(doc=4054,freq=2.0), product of:
            0.14382903 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04107254 = queryNorm
            0.116070345 = fieldWeight in 4054, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0234375 = fieldNorm(doc=4054)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)

Date

6. 1.2011 11:22:12