We consider the problem of spatio-temporal resolution enhancement of a dynamic video scene by synergistically combining information from multiple video sequences corresponding to the different views of the scene. While prior work has focused on spatio-temporal superresolution by primarily exploiting the blurring correlation induced by the scene imaging process, in this work we exploit another and perhaps a stronger form of correlation the intrinsic correlation present in the dynamic scene. We use the knowledge base from the areas of multi-view computer vision, video coding and signal/image processing to efficiently model the dynamic video scene by exploiting inter-camera (space) as well as intra-camera correlations (time). We present simulation results corresponding to a lowframe rate two-camera stereo video configuration where the sequences are combined to generate higher frame-rate sequences. Our proposed framework has direct application to problems such as multi-view video surveillance and relates closely to problems such as multi-view video compression.


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    Titel :

    Multi-camera video resolution enhancement by fusion of spatial disparity and temporal motion fields


    Beteiligte:
    Hazen, D. (Autor:in) / Puri, R. (Autor:in) / Ramchandran, K. (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    527401 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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