Search Results - "Milind Ramesh Naphade"
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Factor graph framework for semantic video indexing
Published in IEEE transactions on circuits and systems for video technology (01-01-2002)“…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 -
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A probabilistic framework for semantic video indexing, filtering, and retrieval
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 -
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Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues
Published in EURASIP journal on advances in signal processing (01-02-2003)“…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 -
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A probablistic framework for mapping audio-visual features to high-level semantics in terms of concepts and context
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Dissertation -
5
Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues
Published in EURASIP journal on advances in signal processing (01-02-2003)“…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
A probablistic framework for mapping audio -visual features to high-level semantics in terms of concepts and context
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…”
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Dissertation -
7
Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues
Published in EURASIP journal on advances in signal processing (25-02-2003)“…: 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