Still and Video Image Analysis

Wipe scene change detection and classification in video sequences

[+] Author Affiliations
W. A. C. Fernando

Brunel University, Department of Electronic and Computer Engineering, Kingston Lane, Uxbridge, Middlesex UB8 3PH, United Kingdom E-mail: anil.fernando@brunel.ac.uk

C. N. Canagarajah

University of Bristol, Image Communications Group, Merchant Ventures Building, Woodland Road, Bristol BS8 1UB, United Kingdom

J. Electron. Imaging. 13(2), 362-375 (Apr 01, 2004). doi:10.1117/1.1666874
History: Received Mar. 14, 2003; Revised Aug. 7, 2003; Accepted Aug. 12, 2003; Online April 01, 2004
Text Size: A A A

There is an urgent need to extract key information automatically from video for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, reliable scene change detection algorithms must be developed. This paper describes a novel algorithm for wipe scene change detection in uncompressed and MPEG-1 compressed video sequences using statistical and geometric properties of each image. An efficient algorithm is also proposed to estimate statistical features in compressed video without full frame decompression. From uncompressed and MPEG compressed frames, thumbnails are obtained where pixels are the averages and variances of luminance values of macroblocks. Differences between thumbnails are computed and thresholded, and straight lines are detected in the resulting binary images. Persistence and motion of these lines indicate the presence of a shot transition using wipes. Results on video of various content types are reported and validated with the proposed schemes. Furthermore, results show that the accuracy of the detection is above 95% for uncompressed and above 90% for MPEG-1 compressed video. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

W. A. C. Fernando and C. N. Canagarajah
"Wipe scene change detection and classification in video sequences", J. Electron. Imaging. 13(2), 362-375 (Apr 01, 2004). ; http://dx.doi.org/10.1117/1.1666874


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.