• DocumentCode
    727470
  • Title

    SCOUTER: Content-based multiple-instance object retrieval system

  • Author

    Mitrea, C.A. ; Carata, S. ; Ghenescu, M.

  • Author_Institution
    UTI GRUP, Bucharest, Romania
  • fYear
    2015
  • fDate
    June 29 2015-July 3 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The article presents the main functionalities and outcomes of the SCOUTER project, which is developed by UTI GRUP in partnership with the “Politehnica” University of Bucharest and co-funded by the Romanian R&D National Framework. SCOUTER is built as an offline processing application module for coping with multiple instance objects retrieval task from video surveillance footage (e.g., searching of a general class, a particular object, retrieval of distinctive regions of interest or patterns). Such functionalities are user-driven as the challenges are derived from the practice of police forensics teams on dealing with analysis of large video datasets. Findings and outputs of the presented project are contributed to the understanding of the constraints and issues that are particular to real-world video surveillance datasets and processing systems and further to alleviate analysis efforts of police investigations.
  • Keywords
    content-based retrieval; image forensics; police data processing; research and development; video retrieval; video surveillance; Politehnica University of Bucharest; Romanian R&D National Framework; SCOUTER project; UTI GRUP; content-based multiple-instance object retrieval system; general class search; large-video datasets; object search; offline processing application module; pattern retrieval; police forensics teams; region-of-interest retrieval; video surveillance footage; Algorithm design and analysis; Conferences; Feature extraction; Image color analysis; Search problems; Shape; Video surveillance; automated video surveillance; content-based object retrieval; pattern matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia & Expo Workshops (ICMEW), 2015 IEEE International Conference on
  • Conference_Location
    Turin
  • Type

    conf

  • DOI
    10.1109/ICMEW.2015.7169821
  • Filename
    7169821