We present the Automatic Linguistic Indexing of Pictures (ALIP) system. The system annotates images with linguistic terms, chosen among hundreds of such terms. The system uses a wavelet-based approach for feature extraction, a statistical modeling process for training, and a statistical significance processor to annotate images. We implemented and tested our ALIP system on a photographic image database of 600 different concepts, each with about 40 training images. The ALIP system has been used to annotate about 60,000 photographic images. In this demonstration, we illustrate the algorithms in the system and show the annotation results. With distributed computation, the annotation of an image can be provided in real-time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    ALIP: the Automatic Linguistic Indexing of Pictures system


    Contributors:
    Li, J. (author) / Wang, J.Z. (author)


    Publication date :

    2005-01-01


    Size :

    125592 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Automatic Classification Video for Person Indexing

    Peng, Jiang / Lin, Qin Xiao | IEEE | 2008



    INDEXING APPARATUS AND INDEXING METHOD

    JORDAN S ERICKSON / LOUIE MICHAEL K | European Patent Office | 2022

    Free access

    Post-Processing of OCR Results for Automatic Indexing

    Wiedenhoefer, L. / Hein, H.-G. / Dengel, A. | British Library Conference Proceedings | 1995


    Indexing apparatus and indexing method

    ERICKSON JEFFREY S / LOUIE MICHAEL K | European Patent Office | 2022

    Free access