CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Analysis of Popular Video Shot Boundary Detection Techniques in Uncompressed Domain

by Swati D. Bendale, Bijal J. Talati
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 3
Year of Publication: 2012
Authors: Swati D. Bendale, Bijal J. Talati
10.5120/9674-4101

Swati D. Bendale, Bijal J. Talati . Analysis of Popular Video Shot Boundary Detection Techniques in Uncompressed Domain. International Journal of Computer Applications. 60, 3 ( December 2012), 30-33. DOI=10.5120/9674-4101

@article{ 10.5120/9674-4101,
author = { Swati D. Bendale, Bijal J. Talati },
title = { Analysis of Popular Video Shot Boundary Detection Techniques in Uncompressed Domain },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 3 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number3/9674-4101/ },
doi = { 10.5120/9674-4101 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:40.350870+05:30
%A Swati D. Bendale
%A Bijal J. Talati
%T Analysis of Popular Video Shot Boundary Detection Techniques in Uncompressed Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 3
%P 30-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now days there are tremendous amount of videos available on internet. Entertainment video, news video, sports video are accessed by users to fulfill their different needs. Our daily routine systems are also producing huge amount of videos for example surveillance system, shopping malls, home videos etc. These videos need to be accessed for different purposes. Current research topics on video includes video abstraction or summarization, video classification, video annotation, content based video retrieval. In nearly all these application one needs to identify shots and key frames in video which will correctly and briefly indicate the contents of video. This paper compares some of the popular shot boundary detection techniques in uncompressed domain. The merits and demerits of each of the techniques are also discussed. Some experiment done are also discussed.

References
  1. R. Kasturi, S. H. Strayer, U. Gargi, S. Antani, "An Evaluation of Color Histogram Based Methods in Video Indexing", Department of Computer Science and Engineering Technical Report CSE-96-053, September 15, 1996.
  2. Pascal Kelm, Sebastian Schmiedeke, and Thomas Sikora, "Feature-Based Video Key Frame Extraction For Low Quality Video Sequences", WIAMIS 2009.
  3. Zuzana Cernekova, Ioannis Pitas, "Information Theory-Based Shot Cut/Fade Detection and Video Summarization", supported by the Commission of the European Communities in the framework of the Methods for Uni?ed Multimedia Information Retrieval (MOUMIR) Project RTN-1999-00177 MOUMIR, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 16, NO. 1, JANUARY 2006
  4. H. J. Zhang, A. Kankanhalli, and S. Smoliar, "Automatic Partitioning of Full-Motion Video," MultimediaSystems, vol. 1, pp. 10-28, 1993.
  5. Krishna K. Warhade, Shabbier N. Merchant and U. B. Desai , " Performance Evalution of Shot Boundary Detection Metrics in the Presence of Object and Camera Motion" , IETE JOURNAL OF RESEARCH, vol 57 , issues 5 , Sep-oct 2011.
  6. Mr. Sandip T. Dhagdi, Dr. P. R. Deshmukh, " Keyframe Based Video Summarization Using Automatic Threshold & Edge Matching Rate", International Journal of Scientific and Research Publications, Volume 2, Issue 7, July 2012 , ISSN 2250-3153.
  7. WeimingHu, Li LI, Nianhua Xie , Xianglin Zeng, and Stephen Maybank, "A survey on Visual Content Based Video Indexing and Retrival", IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS- APPLICATIONS AND REVIEWS, Vol 41,No. 6, November 2011.
  8. Alan Hanjalic, "Shot-Boundary Detection: Unraveled and Resolved?", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 12, NO. 2, FEBRUARY 2002.
  9. John S. Boreczky, Lawrence A. Rowe, "Comparison of video shot boundary detection techniques", Journal of Electronic Imaging 5(2) , 122–128(April1996).
  10. Jen-Hao Yeh, Jun-Cheng Chen, Jin-Hau Kuo and Ja-Ling Wu, "TV Commercial Detection in News Program Video", Circuits and Systems, ISCAS, IEEE International Symposium, Vol. 5 pp. 4594 – 4597, 2005.
  11. Shimna Balakrishnan, Kalpana S. Thakre, "VIDEO MATCH ANALYSIS: A Comprehensive Content based Video Retrival System", International Journal of Computer Science and Application,issue 2010, ISSN 0974-0767.
  12. P. Swati Sowjanya , Ravi Mishra, "VIDEO SHOT BOUNDARY DETECTION- COMPASRISON OF COLOR HISTOGRAM GIST METHOD", IJREAS, Volume 2, Issue 2, February 2012 , ISSN 2249-3905.
Index Terms

Computer Science
Information Sciences

Keywords

shot detection cut pixel based block based histogram based techniques

Powered by PhDFocusTM