Subject Review: Video Compression Algorithms

Review Article


  • Amal Abbas Kadhim Mustansiriyah University Iraq.
  • Azal Minshed Abid Mustansiriyah University Iraq.
  • Zuhair Hussein Ali Mustansiriyah University Iraq.



Video compression, PSNR, Frame, Spatial redundancy, Discrete Cosine Transform.


 Video compression is the process of decreasing the number of bits required to represent a certain video. Video compression can be done by a specific algorithm for deciding the most ideal approach to reduce the amount of data storage. The video file is coded in such a way that  consuming less space than the original file and is easier to transmit over the Internet. The basic idea of video compression based on removing the redundant data that exists in the video. There are four types of redundancy in digital video: colorize redundancy, temporal redundancy, statistical redundancy, and spatial redundancy. Video compression algorithms must reduce these redundancies in such a way that keep the quality of the compressed video when the decompression process is done. Most video compression techniques consist of the following steps: Motion Estimation,Motion Compensation, Discrete Cosine Transform, Run Length Encoding, Huffman Coding. Frame Difference. This paper discusses the characteristic of video coding from the scratch of key frame selection to the evolutions of various standards


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How to Cite

Amal Abbas Kadhim, Azal Minshed Abid, & Zuhair Hussein Ali. (2020). Subject Review: Video Compression Algorithms: Review Article. International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) DOI: 10.31695/IJERAT, 6(11), 21–25.