
Proceedings Paper
Shot boundary detection and label propagation for spatio-temporal video segmentationFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper proposes a two stage algorithm for streaming video segmentation. In the first stage, shot boundaries are
detected within a window of frames by comparing dissimilarity between 2-D segmentations of each frame. In the second
stage, the 2-D segments are propagated across the window of frames in both spatial and temporal direction. The window
is moved across the video to find all shot transitions and obtain spatio-temporal segments simultaneously. As opposed to
techniques that operate on entire video, the proposed approach consumes significantly less memory and enables
segmentation of lengthy videos. We tested our segmentation based shot detection method on the TRECVID 2007 video
dataset and compared it with block-based technique. Cut detection results on the TRECVID 2007 dataset indicate that
our algorithm has comparable results to the best of the block-based methods. The streaming video segmentation routine
also achieves promising results on a challenging video segmentation benchmark database.
Paper Details
Date Published: 27 February 2015
PDF: 7 pages
Proc. SPIE 9405, Image Processing: Machine Vision Applications VIII, 94050D (27 February 2015); doi: 10.1117/12.2076661
Published in SPIE Proceedings Vol. 9405:
Image Processing: Machine Vision Applications VIII
Edmund Y. Lam; Kurt S. Niel, Editor(s)
PDF: 7 pages
Proc. SPIE 9405, Image Processing: Machine Vision Applications VIII, 94050D (27 February 2015); doi: 10.1117/12.2076661
Show Author Affiliations
Sankaranaryanan Piramanayagam, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)
Nathan D. Cahill, Rochester Institute of Technology (United States)
David Messinger, Rochester Institute of Technology (United States)
David Messinger, Rochester Institute of Technology (United States)
Published in SPIE Proceedings Vol. 9405:
Image Processing: Machine Vision Applications VIII
Edmund Y. Lam; Kurt S. Niel, Editor(s)
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