Abstract We propose an empirical computational model for generating an interpretation of a video shot based on our proposed principle of perceptual prominence. The principle of perceptual prominence captures the key aspects of mise-en-scène required for interpreting a video scene. We present a novel approach for applying perceptual grouping principles to the spatio-temporal domain of video. Our spatio-temporal perceptual grouping scheme, applied on blob tracks, makes use of a specified spatio-temporal coherence model. A high level semantic interpretation of scenes is done using the mise-en-scène features and the perceptual prominence computed for the perceptual clusters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Video Scene Interpretation Using Perceptual Prominence and Mise-en-scène Features


    Contributors:


    Publication date :

    2006-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Video Scene Interpretation Using Perceptual Prominence and Mise-en-scene Features

    Harit, G. / Chaudhury, S. | British Library Conference Proceedings | 2006


    Perceptual Evaluation of Driving Scene Segmentation

    Ding, Li / Sherony, Rini / Mehler, Bruce et al. | IEEE | 2021


    Fuzzy Belief and Scene Interpretation

    Dance, S. / Liu, Z. / IEEE; Computer Society; Technical Committee for Pattern Analysis and Machine Intelligence | British Library Conference Proceedings | 1995


    Probabilistic scene models for image interpretation

    Bauer, A. | Fraunhofer Publica | 2010

    Free access

    On scene interpretation with description logics

    Neumann, B. / Moller, R. | British Library Online Contents | 2008