Multimodal content-based video retrieval

V. Mihajlovic, M. Petkovic, Willem Jonker

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

This chapter is a case study showing how important events (highlights) can be automatically detected in video recordings of Formula 1 car racing. Numerous approaches presented in literature have shown that it is becoming possible to extract interesting events from video. However, the majority of the approaches uses individual visual or audio cues. According to the current understanding of human perception it is expected that using evidence obtained from different modalities should result in a more robust and accurate perception of video. On the other hand, fusion of multimodal evidence is quite challenging, since it has to deal with indications which may contradict each other. In this chapter we deal with three topics, one being fusion of evidence from different modalities.
Original languageUndefined
Title of host publicationMultimedia Retrieval
EditorsHenk Blanken, A.P. de Vries, H.E. Blok, L. Feng
Place of PublicationBerlin
PublisherSpringer
Pages271-294
Number of pages24
ISBN (Print)978-3-540-72894-8
DOIs
Publication statusPublished - 2007

Publication series

NameData-Centric Systems and Applications
PublisherSpringer Verlag
NumberLNCS4549

Keywords

  • EWI-10813
  • IR-61866
  • METIS-241807
  • DB-MMR: MULTIMEDIA RETRIEVAL

Cite this

Mihajlovic, V., Petkovic, M., & Jonker, W. (2007). Multimodal content-based video retrieval. In H. Blanken, A. P. de Vries, H. E. Blok, & L. Feng (Eds.), Multimedia Retrieval (pp. 271-294). (Data-Centric Systems and Applications; No. LNCS4549). Berlin: Springer. https://doi.org/10.1007/978-3-540-72895-5_10