Efficient key frame extraction and hybrid wavelet convolutional manta ray foraging for sports video classification

ABSTRACT

Sports video classification (SVC) is now considered a challenging topic, therefore, developing an automatic sports scene classification technique has received tremendous interest. This research develops an efficient key frame extraction method and hybrid Wavelet Convolution Neural Network (WCNN) framework with optimization scheme to classify sports videos. Initially, input videos are converted into number of frames, and keyframes are extracted using Enhanced threshold with Discrete Wavelet Transform (ETDWT) method. Then, Cross Guided Bilateral Filter (CGBF) method eliminates the noise from the keyframe. After that, segmentation process is performed by the Fuzzy Equilibrium Optimizer (FEO) algorithm, and then motions are detected using the Farneback optical flow (OF) method. Finally, classification process is performed using Hybrid Wavelet Convolutional Manta Ray Foraging Optimization (HWCMRFO) algorithm to categorize different sports videos. The overall work is implemented using Python language. Simulation results proved that the proposed work achieved the highest accuracy (93.17%) compared to existing approaches.

KEYWORDS:

• CNN
• filtering
• fuzzy logic
• keyframe
• optimization algorithm
• sports videos
• wavelet transform
• segmentation

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Notes on contributors

M. Ramesh

M. Ramesh pursed Bachelor of Science in Computer Science, Master of Science in Computer Science and Information Technology and M.Phil in Computer Science from Madurai Kamaraj University, Tamil Nadu, India. He is currently pursuing Ph.D (Computer Science, part time) in Department of Computer Applications, Algappa University, karaikudi, Tamil Nadu, India, and working as Assistant Professor in Department of Computer Science, College of Science and Humanities, SRM Institute of Science and Technology, Chennai since 2011. He has more than 17 years of teaching experience and more than 5 years of experience in research.

K. Mahesh

Dr. K. Mahesh pursed Master of Computer Applications, M.Phil in Computer Science and Ph.D in Computer Science. He is currently working as Professor in Department of Computer Applications in Alagappa University, Karaikudi, Tamil Nadu, India. He is having more than 32 years of teaching experience and he has published 45 International journals, 9 International Conference papers, 3 National Journals and 23 National Conferences. He has completed funded research project titled “Collaborative Directed Basic Research in Smart and Secure Environment” from July 2007 to august 2012. He is a member of International Association of Engineers (IAENG). He is a Reviewer in, ICTACT Journal on Image and Video Processing (IJIVP), Publisher: ICT Academy of Tamil Nadu and also Reviewer, International Journal of Advanced Research Trends in Engineering and Technology (IJARTET) Publisher: ACE Publishers. He has Presented Keynote Address in the National Seminar on Current Trends in Computing Technologies organized by the PG Department of Computer Science, Government Arts College for women, Ramanathapuram, Feb 28, 2015, and he also presented Keynote Address in the Intercollegiate Meet (TECHNO'15) organized by the PG Department of Computer Science, Idhaya College for Women, Sarugani, Sep 9th, 2015.