Summarizing video: Content, features, and HMM topologies

Yasaroglu Y., Alatan A.

VISUAL CONTENT PROCESSING AND REPRESENTATION, PROCEEDINGS, vol.2849, pp.101-110, 2003 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 2849
  • Publication Date: 2003
  • Journal Name: VISUAL CONTENT PROCESSING AND REPRESENTATION, PROCEEDINGS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, MathSciNet, Philosopher's Index, zbMATH
  • Page Numbers: pp.101-110
  • Middle East Technical University Affiliated: Yes

Abstract

An algorithm is proposed for automatic summarization of multimedia content by segmenting digital video into semantic scenes using HMMs. Various multi-modal low-level features are extracted to determine state transitions in HMMs for summarization. Advantage of using different model topologies and observation sets in order to segment different content types is emphasized and verified by simulations. Performance of the proposed algorithm is also compared with a deterministic scene segmentation method. A better performance is observed due to the flexibility of HMMs in modeling different content types.