Call For Papers
Contact Us

  Frame Comparison Using Structural Similarity For Fixed Threshold  
  Authors : Ramesh M. Badiger; Dr. Dharmanna L
  Cite as:


Now days there are different methods are present for evaluation of features of images, but there is no common effort developed for the comparison of the quality of image. Here we highlight the similarity based matching technique which will help in matching of the images. This method involves the comparison of points in one image to other, which reduces the complex algorithm implementation. The frames are extracted 1per/sec and frames are taken into a folder for reference match. Key image defines the image to be matched along frames extracted from videos. The image with the high similarity index is displayed as matched image. This would help in analyzing the image in greater depth.


Published In : IJCSN Journal Volume 8, Issue 6

Date of Publication : December 2019

Pages : 451-457

Figures :05

Tables : --


Prof. Ramesh M. Badiger : completed B.E in 2009,M.Tech in 2011 and perusing PhD and has 9 year of teaching experience. Received Second Prize, International National Conference for the paper entitled "Text Extraction From Road Side Display Boards Using Wavelet and SVM" held at TRINITY (isle) Bangalore and also Second Prize, National Conference for the paper entitled "Cross Layer Adaptation in Media Delivery in Wireless Sensor Network "held at J.N.N I.T CHENNAI. Ha has published many national and International papers.

Dr. Dharmanna Lamani : is currently working as HOD of information science and engineering at SDM Institute of technology, Ujire, Karnataka. He obtained M.Tech degree from VTU, Belagavi. He was awarded Ph.D. Degree in computer science and engineering from VTU, Belagavi. Earlier worked as Sr. Lecturer in the department of Computer Science Engineering from Nov 2007 to August 01 2009 at East West Institute of Technology (EWIT) Bangalore. Also he worked as Lecturer in the department of Computer Science Engineering from Nov 05 2005 to Nov 01 2007 at B.T.L. Institute of Technology Bangalore His research interests includes Medical Image Processing, Embedded System design, Pattern Recognition and Computer Networking. He has published around 20 papers in reputed Journals and conferencea.


Key Frame, Similarity index, Threshold

In the field of computer vision image analysis is main objective. Analysis can be carried out on the frames extracted from the video. We have adopted a structural similarity value to indicate the difference between the images. Fames are extracted from the video 1per sec. Quality of the analysis can still be improved by reducing the rate at which frames are extracted from the video. The transfer rate and transmission time can be minimized by eliminating the similar frames.


1. RaviKansagara, DarshakThakore, MahaswetaJoshi, "A Study on Video Summarization Techniques", International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 2, Issue 2, February 2014. 2. Dolley Shukla, Chandra shekhar Mithlesh and Manisha Sharma , "A Case Study of Key frame Extraction Techniques", International Journal of Advanced Research in Electrical,Electronics and Instrumentation Engineering(An ISO 3297: 2007 Certified Organization)Vol. 5, Issue 3, March 2016. 3. S. Ariffa Begum, " Performance Analysis of Various Key Frame Extraction Methods for Surveillance Applications", International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 9, September 2014). 4. Priyanka U. Patil, Dr. Krishna K. Warhade, " Analysis of Various Keyframe Extraction Methods", International Journal of Electrical and Electronics Research ISSN 2348-6988 (online) Vol. 4, Issue 2, pp: (35-40), Month: April - June 2016, Available at: www.researchpublish.com Page . 5. Azra Nasreen ,Dr. Shobha G, "Key Frame Extraction from Videos - A Survey", Azra Nasreen et al , International Journal of Computer Science & Communication Networks,Vol 3(3),194-198 194 ISSN:2249-5789. 6. Suvendu Rup, Bodhisattava Dash, Debbrota Paul Chowdhury," Different Aspect of Side Information Generation in Distributed Video Coding: A Survey", International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 4, Issue. 10, October 2015. 7. Peter Sand, Seth Teller, "Video Matching", MIT Computer Science and Artificial Intelligence.