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A Survey on Performance Comparison of Video Coding Algorithms

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Soft Computing and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1340))

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Abstract

State-of-the-art video compression techniques play a vital role in coding and decoding of video images that consume enormous memory space. In general, video compression is widely adapted for all future mobile applications based on recent developed technologies that are inbuilt into architectures to establish communication links with minimum consumption of power and memory for visual audio and video information. High-quality video consumes more memory for a server/user which is a major drawback in video compression. We present a conceptually generic, pliable and prevalent approach to overcome this issue in video compression with minimum memory space. However, storing and backup maintenance of these large data in an efficient way have been provided the researchers a roadmap in developing novel algorithms and techniques. A video compression technique plays a vital role in storage and transmission of data through the limited bandwidth capability. In this paper, authors mentioned advanced technologies in video compression by providing identical quality and recognizing more content of video. In this paper, authors focus on compressors and decompressors (CODECs) which are there like high-efficiency video coding (HEVC/H.265) that is capable to compress the video of any resolutions like 8192 * 4320 including 8K ultra-high definition (UHD) (John Singh et al. in Int J Pure Appl Math 119:3709–3724, [1]). The author highlights the algorithmic approach that describes the prerequisites for HEVC on playback on the web browser and compression of high-definition video for live video streaming, key factors in developments in dividing the video frames into a few subsections to high compression ratio and to retrieve the same video frames with high quality and more accurately (Garcia-Pineda et al. in Comput Commun, [2]).

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Author information

Authors and Affiliations

  1. Department of ECE, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India

    Kiran Babu Sangeetha

  2. Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India

    V. S. K. Reddy

Authors
  1. Kiran Babu Sangeetha
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  2. V. S. K. Reddy
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, India

    V. Sivakumar Reddy

  2. Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, India

    V. Kamakshi Prasad

  3. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  4. Department of Electronics and Communication Engineering, Sir Visvesvaraya Institute of Technology, Nashik, India

    K. T. V. Reddy

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Sangeetha, K.B., Reddy, V.S.K. (2022). A Survey on Performance Comparison of Video Coding Algorithms. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K.T.V. (eds) Soft Computing and Signal Processing. Advances in Intelligent Systems and Computing, vol 1340. Springer, Singapore. https://doi.org/10.1007/978-981-16-1249-7_63

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