Search Results - "Milind Ramesh Naphade"

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  1. 1

    Factor graph framework for semantic video indexing by Ramesh Naphade, M., Kozintsev, I.V., Huang, T.S.

    “…Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video…”
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    Journal Article
  2. 2

    A probabilistic framework for semantic video indexing, filtering, and retrieval by Naphide, H.R., Huang, T.S.

    Published in IEEE transactions on multimedia (01-03-2001)
    “…Semantic filtering and retrieval of multimedia content is crucial for efficient use of the multimedia data repositories. Video query by semantic keywords is…”
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    Journal Article
  3. 3

    Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues by Adams, W. H., Iyengar, Giridharan, Lin, Ching-Yung, Naphade, Milind Ramesh, Neti, Chalapathy, Nock, Harriet J., Smith, John R.

    “…We present a learning-based approach to the semantic indexing of multimedia content using cues derived from audio, visual, and text features. We approach the…”
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    Journal Article
  4. 4

    A probablistic framework for mapping audio-visual features to high-level semantics in terms of concepts and context by Naphade, Milind Ramesh

    “…Multimedia content is an essential part of information technology. However, the difficulty in filtering, searching, and summarizing video has so far hindered…”
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    Dissertation
  5. 5

    Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues by W. H. Adams, Giridharan Iyengar, Ching-Yung Lin, Milind Ramesh Naphade, Chalapathy Neti, Harriet J. Nock, John R. Smith

    “…We present a learning-based approach to the semantic indexing of multimedia content using cues derived from audio, visual, and text features. We approach the…”
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    Journal Article
  6. 6

    A probablistic framework for mapping audio -visual features to high-level semantics in terms of concepts and context by Naphade, Milind Ramesh

    Published 01-01-2001
    “…Multimedia content is an essential part of information technology. However, the difficulty in filtering, searching, and summarizing video has so far hindered…”
    Get full text
    Dissertation
  7. 7

    Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues by Adams, WH, Iyengar, Giridharan, Lin, Ching-Yung, Naphade, Milind Ramesh, Neti, Chalapathy, Nock, Harriet J, Smith, John R

    “…: We present a learning-based approach to the semantic indexing of multimedia content using cues derived from audio, visual, and text features. We approach the…”
    Get full text
    Journal Article