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Diverse Sports Video Classification Using Large Space MPEG Features

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1392 ))

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Abstract

Due to the substantial increase in the digital videos, distinguishing videos based on their genres has become the major problem in today’s world. Recognizing and extracting the relevant information from the sports videos is a very challenging task because of the similarities in sports, whether that be background or foreground detail in videos. In this paper, a different approach is presented to classify sports videos based on feature extraction using MPEG-7 feature descriptors and support vector machine. Each video is encapsulated using its frames, and feature vector is computed for these video frames using the feature descriptor. The effectiveness of these extracted features is shown in the experimental section of this paper. In this paper we achieved an accuracy of 83% using Support Vector Machine.

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Author information

Authors and Affiliations

  1. College of Engineering Roorkee, Roorkee, India

    Swapnil Kukreti

  2. Graphic Era Deemed to be University, Dehradun, India

    Akanksha Pandey

Authors
  1. Swapnil Kukreti
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  2. Akanksha Pandey
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Corresponding author

Correspondence to Swapnil Kukreti .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Aruna Tiwari

  2. Computer Science and Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Kapil Ahuja

  3. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India

    Anupam Yadav

  4. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  6. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

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Kukreti, S., Pandey, A. (2021). Diverse Sports Video Classification Using Large Space MPEG Features. In: Tiwari, A., Ahuja, K., Yadav, A., Bansal, J.C., Deep, K., Nagar, A.K. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1392 . Springer, Singapore. https://doi.org/10.1007/978-981-16-2709-5_3

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