Summarizing video: Content, features, and HMM topologies

Yasaroglu Y., Alatan A.

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 2849
  • Basım Tarihi: 2003
  • Dergi Adı: VISUAL CONTENT PROCESSING AND REPRESENTATION, PROCEEDINGS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, MathSciNet, Philosopher's Index, zbMATH
  • Sayfa Sayıları: ss.101-110
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.