Proceedings Paper
Slide localization in video sequence by using a rapid and suitable segmentation in marginal space| Format | Member Price | Non-Member Price |
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Paper Abstract
The paper is interested in indexing lecture videos for semantic search of learning material. We present a comparative study between DCT, Grayscale and Marginal space using classical k-means technique. For stable segmentation we propose to introduce an automatic threshold based on moment preservation. We discuss the suitability of each space on different images and then focus on educational video frames that are not so predominant in color and present the best transformation technique for segmentation of lecture video frame. We also present a technique to localize the slide based on some heuristics.
Paper Details
Date Published: 3 February 2014
PDF: 13 pages
Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150F (3 February 2014); doi: 10.1117/12.2042608
Published in SPIE Proceedings Vol. 9015:
Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)
PDF: 13 pages
Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150F (3 February 2014); doi: 10.1117/12.2042608
Show Author Affiliations
Sheetal Rajgure, New Jersey Institute of Technology (United States)
Vincent Oria, New Jersey Institute of Technology (United States)
Vincent Oria, New Jersey Institute of Technology (United States)
Pierre Gouton, Lab. LEII, Univ. de Bourgogne (France)
Published in SPIE Proceedings Vol. 9015:
Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)
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