With the acceptance of unmanned aerial vehicles (UAVs) as a primary platform within the Department of Defense (DOD) for gathering intelligence data, the amount of video information being recorded, analyzed, and archived continues to grow. Mechanisms for quickly locating and retrieving video segments of interest amongst the many hours of recorded video are required to accommodate the rapid turnaround expected in today's wartime planning environments. This paper demonstrates that attributes extracted or calculated from existing mission-related data (specifically telemetry and target data) can be indexed to support random access into archived video streams. These indexes allow video segments to be retrieved based on image characteristics and basic content thus supporting the search for clear, highly detailed images of targets and areas of interest.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Scene-centric identification and retrieval of unmanned aerial vehicle (UAV) video segments


    Contributors:


    Publication date :

    2000-01-01


    Size :

    1155928 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Scene-Centric Identification and Retrieval of Unmanned Aerial Vehicle (UAV) Video Segments

    Berridge, W. T. / IEEE | British Library Conference Proceedings | 2000


    Unmanned aerial vehicle for fire scene exploration

    WANG GUOCHU / LI ZHAOZHI / WANG JIANG et al. | European Patent Office | 2020

    Free access

    Item delivery with an unmanned aerial vehicle and unmanned aerial vehicle retrieval system

    NAVOT AMIR / BEN-ISRAEL ELAD | European Patent Office | 2017

    Free access

    Fire scene all-terrain reconnaissance unmanned aerial vehicle

    YU JIANQIAO / WANG CHUNHUI / ZHOU HONGMIAO et al. | European Patent Office | 2023

    Free access

    Mooring unmanned aerial vehicle multi-scene application system

    YANG LIANG | European Patent Office | 2025

    Free access