Search (1 results, page 1 of 1)

0.009529176 = product of:
  0.019058352 = sum of:
    0.019058352 = product of:
      0.038116705 = sum of:
        0.038116705 = weight(_text_:systems in 2244) [ClassicSimilarity], result of:
          0.038116705 = score(doc=2244,freq=2.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.23767869 = fieldWeight in 2244, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2244)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Surveys research in developing computational models for integrating linguistic and visual information. It begins with a discussion of systems which have been actually implemented and continues with computationally motivated theories of human cognition. Since existing research spans several disciplines (eg natural language understanding, computer vision, knowledge representation), as well as several application areas, categorizes existing research based on inputs and objectives. Outlines some key issues related to integrating information from 2 such diverse sources and relates it to existing research. Throughout, the key issue addressed is the correspondence problem, ie how to associate visual events with words and vice verse