Multimodal detection of highlights for multimedia content

Serhan Dagtas, Mohamed Abdel-Mottaleb

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We present a multimedia information analysis framework for content-based browsing of video. Specifically, we develop algorithms for the automated extraction of video highlights in sports video that are based on audio, text, and image features. The extracted annotations are used to build applications for selective browsing of sports videos. Such summarization techniques enable content-based indexing of multimedia documents for efficient storage and retrieval. In addition, in the context of the newly emerging standard MPEG-7, these methods will enable applications that use MPEG-7 descriptions. As this standard provides only the syntax for representing such descriptions and not specific algorithms for extracting them, these algorithms are of great value for establishing MPEG-7 as an accepted standard. We provide experimental results for the proposed algorithms on several hours of sports programs that prove the feasibility of efficient video access techniques in a multimedia environment.

Original languageEnglish (US)
Pages (from-to)586-593
Number of pages8
JournalMultimedia Systems
Volume9
Issue number6
DOIs
StatePublished - Jun 1 2004

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Multimodal detection of highlights for multimedia content'. Together they form a unique fingerprint.

Cite this