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Activity Situation Model and Application Prototype for Lifelog Image Analysis

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications 바로가기
  • 통권
    Vol.2 No.4 (2008.10)바로가기
  • 페이지
    pp.31-42
  • 저자
    Bernady O. Apduhan, Katsuhiro Takata, Jianhua Ma, Runhe Huang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A88803

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원문정보

초록

영어
Lifelog is a set of continuously captured data records of our daily activities. The lifelog data usually consists of text, picture, video, audio, gyro, acceleration, position, annotations, etc., and is kept in some large databases as records of individual’s life experiences, which can be retrieved when necessary and used as reference to improve life’s quality. 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, called Activity Situation Model, 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 to represent the individual’s life experiences in some semantic and structured ways for future experience data retrievals and exploitations. The resulting structured lifelog images were evaluated using the previous approach and the proposed technique. Our proposed integrated technique exhibited better results.

목차

Abstract
 1. Introduction
 2. Related work
 3. Lifelog acquisition
 4. Space-oriented and action-oriented models
 5. Lifelog image analysis and processing
 6. Application prototype: outdoor running workout assistance
  6.1 System configuration
  6.2 Structured lifelog image generation
 7. Conclusion and future work
 8. References

저자

  • Bernady O. Apduhan [ Kyushu Sangyo University Fukuoka 813-8503, Japan ]
  • Katsuhiro Takata [ Hosei University Tokyo 184-8584, Japan ]
  • Jianhua Ma [ Hosei University Tokyo 184-8584, Japan ]
  • Runhe Huang [ Hosei University Tokyo 184-8584, Japan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

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