Recurring Element Detection in Movies

By Maia Zaharieva and Christian Breiteneder

Abstract

Recurring elements in movies contribute significantly to the development of narration, themes, or even mood. The detection of such elements is impeded by the large variance of their visual appearance and usually relies on the experience and attentiveness of the viewer. In this paper, we present a new approach for the automated detection of recurring elements in movies such as motifs and main characters. Performed experiments show the reliability of the algorithm and its potential for automated high-level film analysis.

Reference

M. Zaharieva, C. Breiteneder: "Recurring Element Detection in Movies"; Talk: Multimedia Modeling Conference, Klagenfurt; 01-04-2012 - 01-06-2012; in: "Advances in Multimedia Modeling", Springer, Lecture Notes in Computer Science, 7131 (2012), ISBN: 978-3-642-27354-4; 222 - 232.

BibTeX

@inproceedings{TUW-210601,     author = {Zaharieva, Maia and Breiteneder, Christian},     title = {Recurring Element Detection in Movies},     booktitle = {Advances in Multimedia Modeling},     year = {2012},     pages = {222--232},     publisher = {Springer},     address = {Lecture Notes in Computer Science, 7131},     isbn = {978-3-642-27354-4},     doi = {10.1007/978-3-642-27355-1{\_}22},     keywords = {recurring elements, high-level film analysis, motifs detection},     note = {talk: Multimedia Modeling Conference, Klagenfurt; 2012-01-04 -- 2012-01-06} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.