Exploiting users' personal and public information for personal photo annotation

Supheakmungkol Sarin, Toshinori Nagahashi, Tadashi Miyosawa, Wataru Kameyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    Annotation is the core item to enable efficient access to media. Thus, automatic annotation is a highly challenging problem. We present a novel solution to personal digital photograph annotation problem which annotates photo based on users' personal, and public information. We use timestamps of photo together with exact location name as pivots to search for more contextual metadata from users' emails, schedules, web browsing histories and public information repositories such as online encyclopedia and news websites. A notable contribution of our approach is that it can effectively leverage the background information of users' daily activities and their ambient environment to semi-automatically annotate their photographs. Experimental results conducted with 10 subjects and a total of 313 photos show that we can reduce 33% of annotation time over manual annotation and we also obtain very encouraging accuracy results.

    Original languageEnglish
    Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
    Pages564-567
    Number of pages4
    Publication statusPublished - 2007
    EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing
    Duration: 2007 Jul 22007 Jul 5

    Other

    OtherIEEE International Conference onMultimedia and Expo, ICME 2007
    CityBeijing
    Period07/7/207/7/5

    Fingerprint

    Electronic mail
    Metadata
    Websites

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Software

    Cite this

    Sarin, S., Nagahashi, T., Miyosawa, T., & Kameyama, W. (2007). Exploiting users' personal and public information for personal photo annotation. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007 (pp. 564-567). [4284712]

    Exploiting users' personal and public information for personal photo annotation. / Sarin, Supheakmungkol; Nagahashi, Toshinori; Miyosawa, Tadashi; Kameyama, Wataru.

    Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007. 2007. p. 564-567 4284712.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Sarin, S, Nagahashi, T, Miyosawa, T & Kameyama, W 2007, Exploiting users' personal and public information for personal photo annotation. in Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007., 4284712, pp. 564-567, IEEE International Conference onMultimedia and Expo, ICME 2007, Beijing, 07/7/2.
    Sarin S, Nagahashi T, Miyosawa T, Kameyama W. Exploiting users' personal and public information for personal photo annotation. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007. 2007. p. 564-567. 4284712
    Sarin, Supheakmungkol ; Nagahashi, Toshinori ; Miyosawa, Tadashi ; Kameyama, Wataru. / Exploiting users' personal and public information for personal photo annotation. Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007. 2007. pp. 564-567
    @inproceedings{b2c0454740b246f8bf733251696f30bb,
    title = "Exploiting users' personal and public information for personal photo annotation",
    abstract = "Annotation is the core item to enable efficient access to media. Thus, automatic annotation is a highly challenging problem. We present a novel solution to personal digital photograph annotation problem which annotates photo based on users' personal, and public information. We use timestamps of photo together with exact location name as pivots to search for more contextual metadata from users' emails, schedules, web browsing histories and public information repositories such as online encyclopedia and news websites. A notable contribution of our approach is that it can effectively leverage the background information of users' daily activities and their ambient environment to semi-automatically annotate their photographs. Experimental results conducted with 10 subjects and a total of 313 photos show that we can reduce 33{\%} of annotation time over manual annotation and we also obtain very encouraging accuracy results.",
    author = "Supheakmungkol Sarin and Toshinori Nagahashi and Tadashi Miyosawa and Wataru Kameyama",
    year = "2007",
    language = "English",
    isbn = "1424410177",
    pages = "564--567",
    booktitle = "Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007",

    }

    TY - GEN

    T1 - Exploiting users' personal and public information for personal photo annotation

    AU - Sarin, Supheakmungkol

    AU - Nagahashi, Toshinori

    AU - Miyosawa, Tadashi

    AU - Kameyama, Wataru

    PY - 2007

    Y1 - 2007

    N2 - Annotation is the core item to enable efficient access to media. Thus, automatic annotation is a highly challenging problem. We present a novel solution to personal digital photograph annotation problem which annotates photo based on users' personal, and public information. We use timestamps of photo together with exact location name as pivots to search for more contextual metadata from users' emails, schedules, web browsing histories and public information repositories such as online encyclopedia and news websites. A notable contribution of our approach is that it can effectively leverage the background information of users' daily activities and their ambient environment to semi-automatically annotate their photographs. Experimental results conducted with 10 subjects and a total of 313 photos show that we can reduce 33% of annotation time over manual annotation and we also obtain very encouraging accuracy results.

    AB - Annotation is the core item to enable efficient access to media. Thus, automatic annotation is a highly challenging problem. We present a novel solution to personal digital photograph annotation problem which annotates photo based on users' personal, and public information. We use timestamps of photo together with exact location name as pivots to search for more contextual metadata from users' emails, schedules, web browsing histories and public information repositories such as online encyclopedia and news websites. A notable contribution of our approach is that it can effectively leverage the background information of users' daily activities and their ambient environment to semi-automatically annotate their photographs. Experimental results conducted with 10 subjects and a total of 313 photos show that we can reduce 33% of annotation time over manual annotation and we also obtain very encouraging accuracy results.

    UR - http://www.scopus.com/inward/record.url?scp=46449134943&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=46449134943&partnerID=8YFLogxK

    M3 - Conference contribution

    AN - SCOPUS:46449134943

    SN - 1424410177

    SN - 9781424410170

    SP - 564

    EP - 567

    BT - Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

    ER -