A web-based video retrieval system: Architecture, semantic extraction, and experimental development

Qing Li, H. Lilian Tang, Horace H.S. Ip, Shermann S.M. Chan

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

3 Citations (Scopus)

Abstract

A current important trend in multimedia information management is towards web-based/enabled multimedia search and management systems. Video is a rich and colorful media widely used in many of our daily life applications such as education, entertainment, news spreading, etc. Digital videos have diverse sources of origin such as cassette recorder, tape recorder, home video camera, DVD and Internet. Expressiveness of video documents decides their dominative position in the next-generation multimedia information systems. Unlike traditional/static types of data, digital video can provide more effective dissemination of information for its rich content. Collectively, a (digital) video can have several information descriptors: (1) meta data - the actual video frame stream, including its encoding scheme and frame rate; (2) media data - the information about the characteristics of video content, such as visual feature, scene structure and spatio-temporal features; (3) semantic data - the mapping between media data and their high level meanings such as text annotation or concepts relevant to the content of the video, obtained by manual or automatic understanding.

Original languageEnglish
Title of host publicationHandbook of Video Databases
Subtitle of host publicationDesign and Applications
PublisherCRC Press
Pages593-611
Number of pages19
ISBN (Electronic)9780203489864
ISBN (Print)9780849370069
Publication statusPublished - 1 Jan 2003
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering

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