Optical flow based model for scene cut detection

O. Fatemi, S. Zhang, S. Panchanathan

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

Cut detection is a fundamental operation for video sequence segmentation. This paper presents an optical flow based model with linear prediction to realize cut detection in various transition conditions. Each frame of a video sequence is divided into 4×4 non-overlapping blocks. This model initiates the cut detection by backward block searching for match. Three continuous frames with the same matched block and the fourth predicted frame are grouped as a subsequence. The linearly predicted non-overlapping block locations in the fourth frame are defined as cut detectable region. The forward search for a match is performed between the third and fourth frames in the cut delectable region. Mismatched blocks indicate a scene change in these block locations, namely, a cut. This algorithm has a better performance for detecting cuts in quick scene changes, static scenes, and scenes with slow motion compared to techniques reported in the literature.

Original languageEnglish (US)
Pages (from-to)470-473
Number of pages4
JournalCanadian Conference on Electrical and Computer Engineering
Volume1
StatePublished - Jan 1 1996
Externally publishedYes
EventProceedings of the 1996 Canadian Conference on Electrical and Computer Engineering, CCECE'96. Part 1 (of 2) - Calgary, Can
Duration: May 26 1996May 29 1996

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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