Lifelog image analysis based on activity situation models using contexts from wearable multi sensors

Katsuhiro Takata, Jianhua Ma, Bernady O. Apduhan, Runhe Huang, Norio Shiratori

    研究成果: Conference contribution

    5 被引用数 (Scopus)

    抄録

    Lifelog is a set of continuously captured data records of our daily activities. The lifelog in this study includes several types of media data/information acquired from wearable multi sensors which capture video images, individual's body motions, biological information, location information, and so on. We propose an integrated technique to process the lifelog which is composed of both captured video (called lifelog images) and other sensed data. Our proposed technique is based on two models; i.e., the space-oriented model and the action-oriented model. By using the two modeling techniques, we can analyze the lifelog images to find representative images in video scenes using both the pictorial visual features and the individual's context information, and likewise represent the individual's life experiences in some semantic and structured ways for future efficient retrievals and exploitations. The resulting structured lifelog images were evaluated using the vision-based only approach and the proposed technique. Our proposed integrated technique exhibited better results.

    本文言語English
    ホスト出版物のタイトルProceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
    ページ160-163
    ページ数4
    DOI
    出版ステータスPublished - 2008
    イベント2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008 - Busan
    継続期間: 2008 4 242008 4 26

    Other

    Other2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
    CityBusan
    Period08/4/2408/4/26

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Science Applications
    • Software

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