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Unstructured Information Management from Multimedia Data Sources

  1. Content type: Research Article

    We present a probabilistic model for the retrieval of multimodal documents. The model is based on Bayesian decision theory and combines models for text-based search with models for visual search. The textual m...

    Authors: Thijs Westerveld, Arjen P. de Vries, Alex van Ballegooij, Franciska de Jong and Djoerd Hiemstra

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:985676

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  2. Content type: Research Article

    Accessing information in multimedia databases encompasses a wide range of applications in which spoken document retrieval (SDR) plays an important role. In SDR, a set of automatically transcribed speech docume...

    Authors: Wolfgang Macherey, Hans Jörg Viechtbauer and Hermann Ney

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:863836

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  3. Content type: Research Article

    One rapidly expanding application area for state-of-the-art speech recognition technology is the automatic processing of broadcast audiovisual data for information access. Since much of the linguistic informat...

    Authors: Jean-Luc Gauvain and Lori Lamel

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:642019

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  4. Content type: Research Article

    Information retrieval tasks such as document retrieval and topic detection and tracking (TDT) show little degradation when applied to speech recognizer output. We claim that the robustness of the process is be...

    Authors: James Allan

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:980946

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  5. Content type: Research Article

    The amount of digital video being shot, captured, and stored is growing at a rate faster than ever before. The large amount of stored video is not penetrable without efficient video indexing, retrieval, and br...

    Authors: Arnon Amir, Savitha Srinivasan and Alon Efrat

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:182545

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  6. Content type: Research Article

    Today′s content-based video retrieval technologies are still far from human′s requirements. A fundamental reason is the lack of content representation that is able to bridge the gap between visual features and...

    Authors: Yu-Fei Ma and Hong-Jiang Zhang

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:141352

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  7. Content type: Research Article

    We propose a novel feature selection method based on a variable memory Markov (VMM) model. The VMM was originally proposed as a generative model trying to preserve the original source statistics from training ...

    Authors: Noam Slonim, Gill Bejerano, Shai Fine and Naftali Tishby

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:850172

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  8. Content type: Research Article

    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 problem by developing a set of statistical models f...

    Authors: W. H. Adams, Giridharan Iyengar, Ching-Yung Lin, Milind Ramesh Naphade, Chalapathy Neti, Harriet J. Nock and John R. Smith

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:987184

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  9. Content type: Research Article

    Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classific...

    Authors: Jing Huang, S. Ravi Kumar and Ramin Zabih

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:453751

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  10. Content type: Research Article

    In this paper, we focus on video programs that are intended to disseminate information and knowledge such as news, documentaries, seminars, etc, and present an audiovisual summarization system that summarizes ...

    Authors: Yihong Gong

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:102838

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  11. Content type: Research Article

    This paper proposes a statistical approach to automatic speech summarization. In our method, a set of words maximizing a summarization score indicating the appropriateness of summarization is extracted from au...

    Authors: Chiori Hori, Sadaoki Furui, Rob Malkin, Hua Yu and Alex Waibel

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:980626

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  12. Content type: Research Article

    Authors: Jing Huang, Mukund Padmanabhan and Savitha Srinivasan

    Citation: EURASIP Journal on Advances in Signal Processing 2003 2003:850208

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