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Design and Implementation of a Context-Based Media Retrieval System

  • Liang Zhao
  • Tangjian Deng
  • Hao Wang
  • Qingwei Liu
  • Ling Feng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7633)

Abstract

Multimedia information has greatly enriched our digital life. Every day we freely scan and download different media objects on the local computer or through the Internet. With the explosion of the individual-related media data, the need of easily re-locating the visited media objects becomes more and more urgent. We design and implement a media retrieval system called M-ReFind that enables users to re-find the previously accessed media information by relevant contexts. In this paper, we demonstrate how a user adds associate contexts to the media objects s/he stores or accesses in daily life and re-finds them by certain context. We show that M-ReFind supports a convenient context-based media retrieval experience, allowing users to re-find local, removable or global media objects more easily.

Keywords

Media Object Contextual Attribute Retention Strength Digital Life Personal Information Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Liang Zhao
    • 1
  • Tangjian Deng
    • 1
  • Hao Wang
    • 1
  • Qingwei Liu
    • 1
  • Ling Feng
    • 1
  1. 1.Dept. of Computer Science & TechnologyTsinghua UniversityBeijingChina

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