• DocumentCode
    462933
  • Title

    On Automatic Contextual Metadata Generation for Personal Digital Photographs

  • Author

    Sarin, Supheakmungkol ; Nagahashi, Toshinori ; Miyosawa, Tadashi ; Kameyama, Wataru

  • Author_Institution
    GITS, Waseda Univ., Saitama
  • Volume
    1
  • fYear
    2007
  • fDate
    12-14 Feb. 2007
  • Firstpage
    66
  • Lastpage
    71
  • Abstract
    The advancements of technology have been making digital cameras more and more affordable for everyone. Consequently, digital photographs have grown exponentially this last decade and have been making it beyond the abilities of people to easily manage their own photo collections. Annotation is one of the solutions to solve this burden. Therefore, we propose a semi-automatic annotation engine with contextual metadata generation. Photos with geo-referential information such as Global Positioning System (GPS) are the current tendency. Using the exact location information given by GPS, together with timestamps, our novel engine semi-automatically generates contextual metadata for each photo from different sources of information namely the public news and users´ personal information. We have designed, implemented and tested our system.
  • Keywords
    cameras; digital photography; meta data; visual databases; Global Positioning System; automatic contextual metadata generation; digital cameras; geo-referential information; personal digital photographs; photo collections; public news; semi-automatic annotation engine; Data mining; Digital cameras; Engines; Global Positioning System; Information management; Information resources; Labeling; MPEG 7 Standard; Software tools; System testing; Browse; Contextual Metadata; Digital photograph; EXIF; GPS; Information Extraction; MPEG7; Public/Personal Information; Search; Semantic; Semi-automatic Annotation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, The 9th International Conference on
  • Conference_Location
    Gangwon-Do
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-131-8
  • Type

    conf

  • DOI
    10.1109/ICACT.2007.358306
  • Filename
    4195085