• DocumentCode
    3319310
  • Title

    Embedded key frame extraction in UGC scenarios

  • Author

    Sentinelli, A. ; Celetto, L. ; Marfia, Gustavo ; Roccetti, Marco

  • Author_Institution
    Adv. Syst. Technol., STMicroelectron., Agrate Brianza, Italy
  • fYear
    2013
  • fDate
    15-19 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Video summarization is an old problem that offers a wide variety of scenarios and approaches. In this work we investigated the suitability of Key Frame Extraction (KFE) solutions in embedded architectures for mobile platforms. In particular, in our scenario the list of key frames is requested right after a shooting session ends. The most interesting outcome has been the evaluation of performances in User Generated Content (UGC) scenarios through an extensive survey based on Opinion Scores, interviews and other minor metrics. We tested five different solutions and results suggest that pursuing sophisticated algorithms doesn´t necessarily enrich the end user experience. We hope that this work will contribute to stimulate the debate on the KFE also in realistic scenarios and to pay attention to the user feedbacks to drive the investigation.
  • Keywords
    embedded systems; feature extraction; mobile computing; video signal processing; UGC scenarios; embedded architectures; embedded key frame extraction; mobile platforms; opinion scores; user generated content scenarios; video summarization; Buffer storage; Cameras; Computer architecture; Histograms; Redundancy; Streaming media; Visualization; Embedded Architecture; Key Frame Extraction; MOS; Video Summarization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/ICMEW.2013.6618390
  • Filename
    6618390