Location based abstraction of user generated mobile videos

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

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    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
    Number of pages7
    JournalSignal Processing: Image Communication
    Volume27
    Issue number8
    DOIs
    Publication statusPublished - 2012
    MoE publication typeA1 Journal article-refereed

    Keywords

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

    Cite this

    @article{3b47d40b7d254332816c2897d361c58b,
    title = "Location based abstraction of user generated mobile videos",
    abstract = "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.",
    keywords = "Context awareness, temporal segmentation, video content analysis, video summarization",
    author = "Onni Ojutkangas and Johannes Peltola and Sari J{\"a}rvinen",
    year = "2012",
    doi = "10.1016/j.image.2012.01.017",
    language = "English",
    volume = "27",
    pages = "917--924",
    journal = "Signal Processing: Image Communication",
    issn = "0923-5965",
    publisher = "Elsevier",
    number = "8",

    }

    Location based abstraction of user generated mobile videos. / Ojutkangas, Onni; Peltola, Johannes; Järvinen, Sari (Corresponding Author).

    In: Signal Processing: Image Communication, Vol. 27, No. 8, 2012, p. 917-924.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Location based abstraction of user generated mobile videos

    AU - Ojutkangas, Onni

    AU - Peltola, Johannes

    AU - Järvinen, Sari

    PY - 2012

    Y1 - 2012

    N2 - 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.

    AB - 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.

    KW - Context awareness

    KW - temporal segmentation

    KW - video content analysis

    KW - video summarization

    U2 - 10.1016/j.image.2012.01.017

    DO - 10.1016/j.image.2012.01.017

    M3 - Article

    VL - 27

    SP - 917

    EP - 924

    JO - Signal Processing: Image Communication

    JF - Signal Processing: Image Communication

    SN - 0923-5965

    IS - 8

    ER -