Interactive classification and indexing of still and motion pictures in VideoRoadMap

Youngchoon Park, Forouzan Golshani, Sethuraman Panchanathan, Kasim Candan

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. VideoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on the contents of media objects, resulting in more accurate retrievals. Principal component analysis and second order statistical analysis are employed to determine the appropriate combination of weight values in similarity search. In addition, VideoRoadMap includes a powerful multi-faceted querying mechanism which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, and query by object motion trajectory.

Original languageEnglish (US)
Pages (from-to)122-133
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3527
DOIs
StatePublished - Dec 1 1998
EventMultimedia Storage and Archiving Systems III - Boston, MA, United States
Duration: Nov 2 1998Nov 4 1998

Keywords

  • Audio-visual information analysis
  • Content-based multimedia object retrieval
  • Subjectivity modeling

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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