Back to articles
Articles
Volume: 2 | Article ID: art00041
Image
Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture
Pei-Jeng Kuo
Terumasa Aoki
Hiroshi Yasuda
  DOI :  10.2352/issn.2168-3204.2005.2.1.art00041  Published Online :  January 2005
Abstract

Lately, growing research efforts are emphasizing on the semantic level image retrieval based on annotated metadata or surrounding information. We are now moving towards an era that any individual can easily archive thousands of photographs, thus fast and precise consumer level image retrieval implementations have become keenly essential. This paper explains our novel approaches towards building up a lifelong personal photograph archive in an experiment database called PARIS.

Journal Title : Archiving Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
Views 0
Downloads 0
 DOI 10.2352/issn.2168-3204.2005.2.1.art00041
 articleview.views 0
 articleview.downloads 0
  Cite this article 

Pei-Jeng Kuo, Terumasa Aoki, Hiroshi Yasuda, "Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture"  in Proc. IS&T Archiving 2005,  2005,  pp 188 - 192,  https://doi.org/10.2352/issn.2168-3204.2005.2.1.art00041

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2005
72010361
Archiving Conference
archiving
2161-8798
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2161-8798(20050101)2005:1L.188;1-
ac_v2005n1/splitsection41.xml
/ist/ac/2005/00002005/00000001/art00041
Articles
Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture
KuoPei-Jeng
AokiTerumasa
YasudaHiroshi
01012005
2005
1
188
192
2005
Lately, growing research efforts are emphasizing on the semantic level image retrieval based on annotated metadata or surrounding information. We are now moving towards an era that any individual can easily archive thousands of photographs, thus fast and precise consumer level image retrieval implementations have become keenly essential. This paper explains our novel approaches towards building up a lifelong personal photograph archive in an experiment database called PARIS.