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 language | English (US) |
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Pages (from-to) | 470-473 |
Number of pages | 4 |
Journal | Canadian Conference on Electrical and Computer Engineering |
Volume | 1 |
State | Published - Jan 1 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 Canadian Conference on Electrical and Computer Engineering, CCECE'96. Part 1 (of 2) - Calgary, Can Duration: May 26 1996 → May 29 1996 |
ASJC Scopus subject areas
- Hardware and Architecture
- Electrical and Electronic Engineering