Location based abstraction of user generated mobile videos

Onni Ojutkangas, Johannes Peltola, Sari Järvinen (Corresponding Author)

    Research output: Contribution to journalArticleScientificpeer-review


    Demand for efficient ways to represent vast amount of video data has grown rapidly in recent years. The advances in positioning services have led to new possibilities in combining location information to video content. In this paper we present an automatic video editing system for geotagged mobile videos. In our solution the system creates automatically a video summary from a set of unedited video clips. Location information and timestamps are used to group video clips with the same context properties. The groups are used to create a video summary where subshots from same context group are represented as scenes. The novelty in our solution lies in combining geotags with low level content analysis tools in video abstraction. We have evaluated the created video summaries with a group of users and the system usability for service creation by building a semi-automatic web-based video editing service. The evaluations prove that our concept is useful as it improves coherence and enjoyability of the automatic video summaries.
    Original languageEnglish
    Pages (from-to)917-924
    JournalSignal Processing: Image Communication
    Issue number8
    Publication statusPublished - 2012
    MoE publication typeA1 Journal article-refereed


    • Context awareness
    • temporal segmentation
    • video content analysis
    • video summarization


    Dive into the research topics of 'Location based abstraction of user generated mobile videos'. Together they form a unique fingerprint.

    Cite this